Title: | The Analysis of Biological Data |
---|---|
Description: | The abd package contains data sets and sample code for The Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts & Company Publishers). |
Authors: | Kevin M. Middleton <[email protected]>, Randall Pruim <[email protected]> |
Maintainer: | Kevin M. Middleton <[email protected]> |
License: | GPL-2 |
Version: | 0.2-10 |
Built: | 2024-11-12 05:42:26 UTC |
Source: | https://github.com/middleton-lab/abd |
The abd
package contains data sets and sample code for the book,
The Analysis of Biological Data by Michael C. Whitlock and Dolph
Schluter (2009; Roberts and Company Publishers).
Package: | abd |
Type: | Package |
Version: | 0.2-10 |
Date: | 2024-04-21 |
License: | GPL |
LazyLoad: | yes |
LazyData: | yes |
Kevin M. Middleton ([email protected]); Randall Pruim ([email protected])
Whitlock, M.C. and D. Schluter. 2009. The Analysis of Biological Data. Roberts and Company Publishers. ISBN: 0981519407. http://www.roberts-publishers.com/biology/the-analysis-of-biological-data.html
Useful links:
trellis.par.set(theme=col.abd()) # set color theme show.settings() abdData(3) # look for data sets in chapter 3 abdData('Finch') # look for data sets with 'finch' in name
trellis.par.set(theme=col.abd()) # set color theme show.settings() abdData(3) # look for data sets in chapter 3 abdData('Finch') # look for data sets with 'finch' in name
A utility function to assist users to locate data sets in Analysis of
Biological Data within the abd
package.
abdData( ..., chapters = 1:21, types = c("Example", "Problem"), numbers = 1:100, pattern = "*", ignore.case = TRUE )
abdData( ..., chapters = 1:21, types = c("Example", "Problem"), numbers = 1:100, pattern = "*", ignore.case = TRUE )
... |
values for any of |
chapters |
a numeric vector of chapters to search within |
types |
a sub-vector of c('Example','Problem') |
numbers |
a numeric vector of problem numbers |
pattern |
a pattern to use for regular expression matching against the name of the data frame. |
ignore.case |
should case be ignored when matching pattern? |
A data frame describing data sets from abd
that match the
search criteria, or NULL if there are no matches.
Randall Pruim ([email protected])
# find all data from examples in chapters 3 and 4 abdData(3:4, "Example") # order doesn't matter abdData("Example", 3:4) # look for data sets with Example in their name. abdData(pattern="Example") # look for data sets with Exercise in their name. abdData("Exercise")
# find all data from examples in chapters 3 and 4 abdData(3:4, "Example") # order doesn't matter abdData("Example", 3:4) # look for data sets with Example in their name. abdData(pattern="Example") # look for data sets with Exercise in their name. abdData("Exercise")
Growth rates of the unicellular alga Chlamydomonas after 1,000
generations of selection under High
and Normal
levels of
carbon dioxide.
AlgaeCO2
AlgaeCO2
A data frame with 14 observations on the following 2 variables.
a factor with levels Normal
and
High
a numeric vector
Collins, S. and G. Bell. 2004. Phenotypic consequences of 1,000
generations of selection at elevated CO in a green alga.
Nature 431: 566-569.
AlgaeCO2 xyplot(growthrate ~ treatment, AlgaeCO2, type = c('p', 'a'))
AlgaeCO2 xyplot(growthrate ~ treatment, AlgaeCO2, type = c('p', 'a'))
Approximate dates of immigration for 37 species of birds in the Lesser Antilles.
Antilles
Antilles
A data frame with 37 observations of one variable.
approximate immigration date (in millions of years)
inferred from Ricklefs, R.E. and E. Bermingham. 2001. Nonequilibrium diversity dynamics of the Lesser Antillean avifauna. Science 294: 1522-1524.
http://www.sciencemag.org/cgi/content/abstract/sci;294/5546/1522
histogram(~immigration.date, Antilles,n=15) densityplot(~immigration.date, Antilles)
histogram(~immigration.date, Antilles,n=15) densityplot(~immigration.date, Antilles)
Frequency of cancer in 39,876 women taking and not taking aspirin.
Aspirin
Aspirin
A data frame with 39876 observations on the following
a factor with levels Aspirin
and
Placebo
a factor with levels no
and
yes
Cook, N.R., I. Lee, J.M. Gaziano, D. Gordon, P.M. Ridker, J.E. Manson, C.H. Hennekens, and J.E. Buring. 2005. Low-dose aspirin in the primary prevention of cancer. Journal of the American Medical Association 294: 47-55.
http://www.ncbi.nlm.nih.gov/pubmed/15998890
demo(sec9.2)
demo(sec9.2)
Levels of expression of the foraging gene (for; Expression
) in
two worker types (type
) in three bee colonies (colony
). Note
that colony
is not coded as a factor.
BeeGenes
BeeGenes
A data frame with 6 observations on the following 3 variables.
a factor with levels forager
nurse
a numeric identifier
expression level of the for gene
Ben-Shahar, Y., A. Robichon, M.B. Sokolowski, and G.E. Robinson. 2002. Influence of gene action across different time scales on behavior. Science 296: 741-744.
str(BeeGenes) BeeGenes xtabs( expression ~ type + colony, BeeGenes )
str(BeeGenes) BeeGenes xtabs( expression ~ type + colony, BeeGenes )
Lifespan of 33 foraging honey bees.
BeeLifespans
BeeLifespans
A data frame with 33 observations on the following variable.
a numeric vector
inferred from Visscher, P.K. and R. Dukas. 1997. Survivorship of foraging honey bees. Insectes Sociaux 44: 1-5.
histogram(~hours, BeeLifespans, n=10) densityplot(~hours, BeeLifespans)
histogram(~hours, BeeLifespans, n=10) densityplot(~hours, BeeLifespans)
Relative size of the horns and wings in 19 female Onthophagus sagittarius beetles.
Beetles
Beetles
A data frame with 19 observations on the following 2 variables.
a numeric vector
a numeric vector
Emlen, D.J. 2001. Costs and the diversification of exaggerated animal structures. Science 291: 1534-1536.
http://www.scienceonline.org/cgi/content/abstract/291/5508/1534
str(Beetles) xyplot(wing.mass ~ horn.size, Beetles)
str(Beetles) xyplot(wing.mass ~ horn.size, Beetles)
Correlation coefficient of sex ratio in bird offspring.
BirdSexRatio
BirdSexRatio
A data frame with 15 observations of one variable
correlation coefficient of sex ratio in bird offspring
West, S.A. and B.C. Sheldon. 2002. Constraints in the evolution of sex ratio adjustment. Science 295: 1695-1688.
histogram(~ corr.coeff, BirdSexRatio, n = 10, xlab = "Correlation Coefficient")
histogram(~ corr.coeff, BirdSexRatio, n = 10, xlab = "Correlation Coefficient")
Experimental manipulation of testosterone levels in male Red-winged Blackbirds (Agelaius phoeniceus) and resulting changes in antibody levels
Blackbirds
Blackbirds
A data frame with 13 observations on the following 6 variables.
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
Hasselquist, D., J.A. Marsh, P.W. Sherman, and J.C. Wingfield. 1999. Is avian immunocompetence suppressed by testosterone? Behavioral Ecology and Sociobiology 45: 167-175.
Blackbirds xyplot(log.after ~ log.before, data = Blackbirds, ylab = "log Antibody production after implant", xlab = "log Antibody production before implant" )
Blackbirds xyplot(log.after ~ log.before, data = Blackbirds, ylab = "log Antibody production after implant", xlab = "log Antibody production before implant" )
Heat loss during exercise and relative body fat in 12 boys.
BodyFatHeatLoss
BodyFatHeatLoss
A data frame with 12 observations on the following 2 variables.
a numeric vector
a numeric vector
Sloan, R.E.G. and W.R. Keatinge. 1973. Cooling rates of young people swimming in cold water. Journal of Applied Physiology 35: 371-375.
http://www.ncbi.nlm.nih.gov/pubmed/4732330
xyplot(lossrate ~ leanness, BodyFatHeatLoss)
xyplot(lossrate ~ leanness, BodyFatHeatLoss)
Expression levels of the proteolipid protein 1 gene (PLP1;
PLP1.expression
) in 45 individuals in one of three group
s.
BrainExpression
BrainExpression
A data frame with 45 observations on the following 2 variables.
a factor with levels: bipolar
,
control
, and schizo
a numeric vector
inferred from Tkachev, D., M.L. Mimmack, M.M. Ryan, M. Wayland, T. Freeman, P.B. Jones, M. Starkey, M.J. Webster, R.H. Yolken, S. Bahn. 2003. Oligodendrocyte dysfunction in schizophrenia and bipolar disorder. Lancet 362(9386): 798-805.
bwplot(PLP1.expression ~ group, BrainExpression)
bwplot(PLP1.expression ~ group, BrainExpression)
Total numbers of salmon released (salmon.released
) and surviving
(salmon.surviving
) in 12 streams, 6 with brook trout present
and 6 with brook trout absent
. The proportion of salmon surviving
(proportion.surviving
) is given for each stream.
BrookTrout
BrookTrout
BrookTrout
is a data frame with 12 observations on the
following 4 variables. BrookTrout2
is a different summary of the
same study and gives survival rates for chinook in different years.
a factor with levels absent
and
present
indicating whether brook trout are absent or present in the
stream
a numeric vector of the total number of salmon released
a numeric vector of the number of salmon surviving
a numeric vector of the proportion of salmon surviving
Levin, P.S., S. Achord, B.E. Fiest, and R.W. Zabel. 2002. Non-indigenous brook trout and the demise of Pacific salmon: a forgotten threat? Proceedings of the Royal Society of London, Series B, Biological Sciences 269: 1663-1670.
str(BrookTrout) str(BrookTrout2) bwplot(proportion.surviving ~ trout, BrookTrout) aggregate(proportion.surviving ~ trout, BrookTrout, FUN = favstats) summary(proportion.surviving ~ trout, BrookTrout, fun = favstats)
str(BrookTrout) str(BrookTrout2) bwplot(proportion.surviving ~ trout, BrookTrout) aggregate(proportion.surviving ~ trout, BrookTrout, FUN = favstats) summary(proportion.surviving ~ trout, BrookTrout, fun = favstats)
Numbers of deaths resulting from horse kicks per regiment-years for the Prussian army.
Cavalry
Cavalry
A data frame with 5 observations on the following 2 variables.
a numeric vector
a numeric vector
Bortkiewicz, L. 1898. Das Gesetz der Kleinen Zahlen (Teubner, Leipzig), as cited in Larson, R.J. and M.L. Marx. 1981. An Introduction to Mathematical Statistics and its Applications. Prentice-Hall: Englewood Cliffs, NJ.
Cavalry xyplot(count ~ deaths, Cavalry, type='h', lwd=4) barchart(count ~ deaths, Cavalry, horizontal = FALSE, box.ratio = 1000, origin=0)
Cavalry xyplot(count ~ deaths, Cavalry, type='h', lwd=4) barchart(count ~ deaths, Cavalry, horizontal = FALSE, box.ratio = 1000, origin=0)
Number of "dee" notes per call in Black-capped Chickadees (Poecile atricapilla) for 13 predator species with differing body masses.
Chickadees
Chickadees
A data frame with 13 observations on the following 3 variables.
a character vector
a numeric vector
a numeric vector
Templeton, C.N., E. Greene, and K. Davis. 2005. Allometry of alarm calls: Black-capped Chickadees encode information about predator size. Science 308: 1934-1937.
http://www.sciencemag.org/cgi/content/short/308/5730/1934
str(Chickadees) Chickadees xyplot(dees ~ mass, data = Chickadees, xlab = "Predator body mass (kg)", ylab = "'Dees' per call", type=c('p','r') )
str(Chickadees) Chickadees xyplot(dees ~ mass, data = Chickadees, xlab = "Predator body mass (kg)", ylab = "'Dees' per call", type=c('p','r') )
Asymmetry of Brodmann's area 44 in 20 chimpanzees.
ChimpBrains
ChimpBrains
A data frame with 20 observations on the following 3 variables.
name of chimp
a factor
with levels F
and M
asymmetry score
Cantalupo, C. and W.D. Hopkins. 2001. Asymmetric Broca's area in great apes. Nature 414: 505.
xyplot(asymmetry ~ sex, ChimpBrains) aggregate(asymmetry ~ sex, ChimpBrains, FUN = favstats) summary(asymmetry ~ sex, ChimpBrains, fun = favstats)
xyplot(asymmetry ~ sex, ChimpBrains) aggregate(asymmetry ~ sex, ChimpBrains, FUN = favstats) summary(asymmetry ~ sex, ChimpBrains, fun = favstats)
Preference index in F1 and F2 crosses of two species of cichlids from Lake Victoria, Pundamilia pundamilia and P. nyererei.
Cichlids
Cichlids
A data frame with 53 observations on the following 2 variables.
a factor with levels F1
and
F2
a numeric vector
Haeslery, M.P. and O. Seehausen. 2005. Inheritance of female mating preference in a sympatric sibling species pair of Lake Victoria cichlids: implications for speciation. Proceedings of the Royal Society of London, Series B, Biological Sciences 272: 237-245.
http://rspb.royalsocietypublishing.org/content/272/1560/237.full.pdf
str(Cichlids) summary(preference ~ genotype, Cichlids, fun = favstats) if (require(plyr)) { ddply(Cichlids, .(genotype), function(df)c(mean = mean(df$preference), standard.deviation = sd(df$preference), n = length(df$preference))) }
str(Cichlids) summary(preference ~ genotype, Cichlids, fun = favstats) if (require(plyr)) { ddply(Cichlids, .(genotype), function(df)c(mean = mean(df$preference), standard.deviation = sd(df$preference), n = length(df$preference))) }
Levels of mRNA for gonadotropin-releasing hormone in cichlids (Haplochromis burtoni) that are (n = 5) and are not (n = 6) territorial.
CichlidsGnRH
CichlidsGnRH
A data frame with 11 observations on the following 2 variables.
a factor with levels No
and
Yes
a numeric vector
White, S.A., T. Nguyen, and R.D. Fernald. 2002. Social regulation of gonadotropin-releasing hormone. Journal of Experimental Biology 205: 2567-2581.
http://jeb.biologists.org/cgi/content/abstract/205/17/2567
xyplot(GnRH.mRNA ~ territorial, CichlidsGnRH, type=c('p','a'))
xyplot(GnRH.mRNA ~ territorial, CichlidsGnRH, type=c('p','a'))
Biomass change in 36 Amazonian rainforests following clearcuts ranging from 50 m to several kilometers.
Clearcuts
Clearcuts
A data frame with 36 observations of one variable.
Laurance, W.F., S.G. Laurance, L.V. Ferreira, J.M. Rankin-de Merona, C. Gascon, T.E. Lovejoy. 1997. Biomass collapse in Amazonian forest fragments. Science 278: 1117-1118.
http://www.sciencemag.org/cgi/content/abstract/278/5340/1117
str(Clearcuts) histogram(~biomass.change, Clearcuts)
str(Clearcuts) histogram(~biomass.change, Clearcuts)
Percent of dopamine receptors blocked (percent.bocked
) and the
perceived level of high as determined by PET scans (high
) in 34
humans.
CocaineDopamine
CocaineDopamine
A data frame with 34 observations on the following 2 variables.
a numeric vector
a numeric vector
Volkow, N.D., G.-J. Wang, R.W. Foltin, J.S. Fowler, N.N. Abumrad, S. Vitkun, J. Logan, S.J. Gatley, N. Pappas, R. Hitzemann, and C.E. Shea. 1997. Relationship between subjective effects of cocaine and dopamine transporter occupancy. Nature 386: 827-830.
http://www.nature.com/nature/journal/v386/n6627/abs/386827a0.html
str(CocaineDopamine) xyplot(high ~ percent.blocked, CocaineDopamine)
str(CocaineDopamine) xyplot(high ~ percent.blocked, CocaineDopamine)
This theme will help produce plots with color scheme similar to the one used in Analysis of Biological Data
col.abd(bw = FALSE, lty = 1:7) theme.abd(bw = FALSE, lty = 1:7)
col.abd(bw = FALSE, lty = 1:7) theme.abd(bw = FALSE, lty = 1:7)
bw |
a logical. Use a grayscale theme instead of color? |
lty |
line types used for |
theme.abd
and col.abd
are the same function with
two names.
a list that can be used as a lattice
theme.
Randall Pruim ([email protected])
trellis.par.set(theme=col.abd(bw=TRUE)) show.settings() trellis.par.set(theme=theme.abd(lty=1)) show.settings()
trellis.par.set(theme=col.abd(bw=TRUE)) show.settings() trellis.par.set(theme=theme.abd(lty=1)) show.settings()
Data on frequency of convictions for a cohort of 395 boys.
Convictions
Convictions
A data frame with 15 observations on the following 2 variables.
number of convictions
number of boys with given number of convictions
Farrington, D.P. 1994. Cambridge Study in Delinquent Development [Great Britain], 1961-1981. 2nd ICPSR ed. Inter-university Consortium for Political and Social Research, Ann Arbor, MI.
http://www.icpsr.umich.edu/icpsrweb/NACJD/archive.jsp
str(Convictions) barchart(boys ~ as.factor(convictions), Convictions, horizontal = FALSE, origin=0) xyplot( boys ~ convictions, Convictions, type = "h", lwd = 20)
str(Convictions) barchart(boys ~ as.factor(convictions), Convictions, horizontal = FALSE, origin=0) xyplot( boys ~ convictions, Convictions, type = "h", lwd = 20)
Data reporting the number of individual with and without convictions per income level.
ConvictionsAndIncome
ConvictionsAndIncome
A data frame with 395 observations on the following 2 variables.
a factor with levels no
and
yes
a factor with levels adequate
,
comfortable
, and inadequate
Farrington, D.P. 1994. Cambridge Study in Delinquent Development [Great Britain], 1961-1981. 2nd ICPSR ed. Inter-university Consortium for Political and Social Research, Ann Arbor, MI.
http://www.icpsr.umich.edu/icpsrweb/NACJD/archive.jsp
str(ConvictionsAndIncome) ConvictionsAndIncome xtabs(~ convicted + income, data = ConvictionsAndIncome)
str(ConvictionsAndIncome) ConvictionsAndIncome xtabs(~ convicted + income, data = ConvictionsAndIncome)
Sperm viability and immune function, measured by lysozyme activity in crickets. Each observation is a mean for a single family of males.
Crickets
Crickets
A data frame with 41 observations on the following 2 variables.
a numeric vector
a numeric vector
Simmons, L.W. and B. Roberts. 2005. Bacterial immunity traded for sperm viability in male crickets. Science 309: 2031.
Crickets xyplot(lysozyme ~ sperm.viability, Crickets)
Crickets xyplot(lysozyme ~ sperm.viability, Crickets)
Number of spores and host longevity in the crustacean Daphnia magna.
DaphniaLongevity
DaphniaLongevity
A data frame with 32 observations on the following 2 variables.
a numeric vector
a numeric vector
Jensen, K.H., T.J. Little, A. Skorping, and D. Ebert. 2006. Empirical support for optimal virulence in a castrating parasite. PLoS Biology 4(7): e197
http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.0040197
str(DaphniaLongevity) xyplot(sqrt.spores ~ longevity, DaphniaLongevity)
str(DaphniaLongevity) xyplot(sqrt.spores ~ longevity, DaphniaLongevity)
Resistance of Daphnia eggs to different levels of cyanobacteria
(cyandensity
) from 1962-1997.
DaphniaResistance
DaphniaResistance
A data frame with 32 observations on the following 2 variables.
a factor with levels: high
,
low
, and med
a numeric vector
inferred from Hairston, N.G., Jr., W. Lampert, C.E. Cáceres, C.L. Holtmeier, L.J. Weider, U. Gaedke, J.M. Fischer, J.A. Fox, and D.M. Post. 1999. Dormant eggs record rapid evolution. Nature 401: 446.
str(DaphniaResistance) bwplot(resistance ~ density, DaphniaResistance) # with such a small data set, we can display all the data # rather than a summary xyplot(resistance ~ density, DaphniaResistance) histogram(~ resistance| density, DaphniaResistance, strip=FALSE, strip.left = TRUE, layout=c(1,3) )
str(DaphniaResistance) bwplot(resistance ~ density, DaphniaResistance) # with such a small data set, we can display all the data # rather than a summary xyplot(resistance ~ density, DaphniaResistance) histogram(~ resistance| density, DaphniaResistance, strip=FALSE, strip.left = TRUE, layout=c(1,3) )
abd
Data SetsInformation about the location of data sets in Analysis of Biological Data
dataInfo
dataInfo
A data frame with 143 observations on the following 5 variables.
name of data set
chapter in which data set appears
used in an Example
or a Problem
example or problem number
sub-problem: a
b
c
str(dataInfo)
str(dataInfo)
Day of the week for 350 U.S. births in 1999.
DayOfBirth
DayOfBirth
A data frame with 7 observations on the following 2 variables.
a character vector
a numeric vector
Ventura, S.J., J.A. Martin, S.C. Curtin, F. Menacker, and B.E. Hamilton. 2001. Births: final data for 1999. National Vital Statistics Reports Vol. 49, No. 1.
http://cdc.gov/NCHS/products/nvsr.htm
DayOfBirth barchart( day ~ births, DayOfBirth, origin=0) # Fix bad ordering of days DayOfBirth$oday <- with(DayOfBirth, ordered(day, levels = day)) barchart( oday ~ births, DayOfBirth, origin=0) barchart( births ~ oday, DayOfBirth, horizontal = FALSE, origin=0) barchart( births ~ oday, DayOfBirth, horizontal = FALSE, origin=0, scales = list(x=list(rot=45))) barplot(DayOfBirth$births, ylim = c(0, 70), names.arg = DayOfBirth$day, las = 2, mgp = c(3, 0.75, 0))
DayOfBirth barchart( day ~ births, DayOfBirth, origin=0) # Fix bad ordering of days DayOfBirth$oday <- with(DayOfBirth, ordered(day, levels = day)) barchart( oday ~ births, DayOfBirth, origin=0) barchart( births ~ oday, DayOfBirth, horizontal = FALSE, origin=0) barchart( births ~ oday, DayOfBirth, horizontal = FALSE, origin=0, scales = list(x=list(rot=45))) barplot(DayOfBirth$births, ylim = c(0, 70), names.arg = DayOfBirth$day, las = 2, mgp = c(3, 0.75, 0))
Administered dose of DEET and number of mosquito bites for 52 women.
DEET
DEET
A data frame with 52 observations on the following 2 variables.
a numeric vector
a numeric vector
Golenda, C.F., V.B. Solberg, R. Burge, J.M. Gambel, and R.A. Wirtz. 1999. Gender-related efficacy difference to an extended duration formulation of topical N,N-diethyl-m-toluamide (DEET). American Journal of Tropical Medicine and Hygiene 60: 654-657.
str(DEET) xyplot(bites ~ dose, DEET)
str(DEET) xyplot(bites ~ dose, DEET)
Census data for desert birds.
DesertBirds
DesertBirds
A data frame with 43 observations on the following 2 variables.
a character vector
a numeric vector
Sauer, J.R., J.E. Hines, and J. Fallon. 2003. The North American breeding bird survey, results and analysis 1966-2002. Version 2003.1. USGS Patuxent Wildlife Research Center, Laurel, MD.
http://www.mbr-pwrc.usgs.gov/bbs/
str(DesertBirds) histogram(~ count, DesertBirds, xlab = "Abundance" )
str(DesertBirds) histogram(~ count, DesertBirds, xlab = "Abundance" )
Number of dioecious
and monomorphic
taxa among pairs of
closely related plants.
Dioecy
Dioecy
A data frame with 28 observations on the following 3 variables.
a numeric vector
a numeric vector
identifier for pair
Heilbuth, J.C. 2000. Lower species richness in dioecious clades. The American Naturalist 156: 221-241.
xyplot(dioecious ~ monomorphic, Dioecy, alpha = 0.65, pch = 16)
xyplot(dioecious ~ monomorphic, Dioecy, alpha = 0.65, pch = 16)
Percentage of time 8 sleeping dolphins from the Southern Hemisphere spent swimming clockwise.
Dolphins
Dolphins
A data frame with 8 observations on one variable.
percent of time spent swimming clockwise while sleeping.
Stafne, G.M. and P.R. Manger. 2004. Predominance of clockwise swimming during rest in Southern Hemisphere dolphins. Physiology and Behavior 82: 919-926.
http://faculty.washington.edu/chudler/dolp.html
Dolphins hist(Dolphins$percent.clockwise) histogram(~ percent.clockwise, Dolphins)
Dolphins hist(Dolphins$percent.clockwise) histogram(~ percent.clockwise, Dolphins)
Body condition (offspring.condition
) in 36 dung beetles
(Onthophagus taurus) from 12 male
s each mated to 3 different
virgin females.
DungBeetles
DungBeetles
A data frame with 36 observations on the following 2 variables.
a numeric vector
a numeric vector
inferred from Kotiaho, J.S., L.W. Simmons, and J.L. Tomkins. 2001. Towards a resolution of the lek paradox. Nature 410: 684-686.
http://en.wikipedia.org/wiki/Dung_beetle
http://www.nature.com/nature/journal/v410/n6829/abs/410684a0.html
str(DungBeetles) xyplot(offspring.condition ~ factor(id), DungBeetles, xlab='Dung Beetle', ylab='offspring condition')
str(DungBeetles) xyplot(offspring.condition ~ factor(id), DungBeetles, xlab='Dung Beetle', ylab='offspring condition')
Number of earthworm species and total nitrogen content in the soil in 39 hardwood forest plots.
Earthworms
Earthworms
A data frame with 39 observations on the following 2 variables.
a numeric vector
a numeric vector
Gundale, M.J., W.M. Jolly, and T.H. Deluca. 2005. Susceptibility of a northern hardwood forest to exotic earthworm invasion. Conservation Biology 19: 1075-1083.
http://www3.interscience.wiley.com/journal/118701215/abstract
str(Earthworms) xyplot(nitrogen ~ worm.species, Earthworms)
str(Earthworms) xyplot(nitrogen ~ worm.species, Earthworms)
Earwig (Forficula auricularia) density and the proportion of trapped earwigs with abdominal forceps (used for fighting and courtship).
Earwigs
Earwigs
A data frame with 7 observations on the following 2 variables.
a numeric vector
a numeric vector
Tomkins, J.L. and G.S. Brown. 2004. Population density drives the local evolution of a threshold dimorphism. Nature 431: 1099-1103.
http://en.wikipedia.org/wiki/Forficula_auricularia
http://www.arkive.org/common-european-earwig/forficula-auricularia/
xyplot(proportion.forceps ~ density, data=Earwigs, type='h', lwd=6)
xyplot(proportion.forceps ~ density, data=Earwigs, type='h', lwd=6)
Number of shoots (shoots
) surviving in each of 32 experimental plots
planted with 1, 3, or 6 different genotypes of eelgrass
(treatment.genotypes
).
Eelgrass
Eelgrass
A data frame with 32 observations on the following 2 variables.
a numeric vector of the number of genotypes planted in each plot
a numeric vector of the total number of shoots in each plot
inferred from Reusch, T.B.H., A. Ehlers, A. Hämmerli, and B. Worm. 2005. Ecosystem recovery after climatic extremes enhanced by genotypic diversity. Proceedings of the National Academy of Sciences (USA) 102: 2826-2831.
http://www.pnas.org/content/102/8/2826.abstract
Eelgrass # Convert treatment.genotypes to a factor Eelgrass$genotypesF <- factor(Eelgrass$genotypes) str(Eelgrass) xyplot(shoots ~ genotypes, Eelgrass) xyplot(shoots ~ genotypesF, Eelgrass)
Eelgrass # Convert treatment.genotypes to a factor Eelgrass$genotypesF <- factor(Eelgrass$genotypes) str(Eelgrass) xyplot(shoots ~ genotypes, Eelgrass) xyplot(shoots ~ genotypesF, Eelgrass)
Species abundance of electric fish upstream and downstream of the entrance of a tributary in the Amazon basin.
ElectricFish
ElectricFish
A data frame with 12 observations on the following 3 variables.
a character vector
a numeric vector of the number of species of electric fish present upstream of the tributary
a numeric vector of the number of species of electric fish present downstream of the tributary
Fernandes, C.C., J. Podos, and J.G. Lundberg. 2004. Amazonian ecology: tributaries enhance the diversity of electric fishes. Science 305: 1960-1962.
http://www.sciencemag.org/cgi/content/abstract/305/5692/1960
ElectricFish require(grid) xyplot(species.upstream ~ species.downstream, data = ElectricFish, panel=function(x, y, ...){ grid.text(ElectricFish$tributary, x=x, y=y, rot = 45, gp = gpar(cex=.6), default.units = 'native') } )
ElectricFish require(grid) xyplot(species.upstream ~ species.downstream, data = ElectricFish, panel=function(x, y, ...){ grid.text(ElectricFish$tributary, x=x, y=y, rot = 45, gp = gpar(cex=.6), default.units = 'native') } )
Number of different species (breadth
) in 127 species
(no.species
) in the rainforest community at El Verde, Puerto Rico
ElVerde
ElVerde
A data frame with 38 observations on the following 2 variables.
a numeric vector
a numeric vector
Waide R.B. and W.B. Reagan, eds. 1996. The Food Web of a Tropical Rainforest. University of Chicago Press, Chicago.
ElVerde xyplot(num.species ~ breadth, ElVerde, type='h',lwd=3)
ElVerde xyplot(num.species ~ breadth, ElVerde, type='h',lwd=3)
Frequency of taxon groups on the U.S. Fish and Wildlife Service list of endangered and threatened species (2002).
EndangeredSpecies
EndangeredSpecies
A data frame with 11 observations on the following 2 variables.
a character vector
a numeric vector
U.S. Fish and Wildlife Service. 2001. Number of U.S. listed species per calendar year.
http://www.fws.gov/endangered/
str(EndangeredSpecies) EndangeredSpecies
str(EndangeredSpecies) EndangeredSpecies
The ratio of the lengths of the index finger to the ring finger in 46 males and the number of CAG repeats for each.
FingerRatio
FingerRatio
A data frame with 46 observations on the following 2 variables.
a numeric vector of the number of CAG repeats
a numeric vector of the ratio of digit 2 to digit 4
inferred from Manning, J.T., P.E. Bundred, D.J. Newton, and B.F. Flanagan. 2003. The second to fourth digit ratio and variation in the androgen receptor gene. Evolution and Human Behavior 24: 399-405.
http://en.wikipedia.org/wiki/Digit_ratio
str(FingerRatio) xyplot(finger.ratio ~ CAGrepeats, FingerRatio, xlab = "Number of CAG Repeats", ylab = "2D:4D Ratio" )
str(FingerRatio) xyplot(finger.ratio ~ CAGrepeats, FingerRatio, xlab = "Number of CAG Repeats", ylab = "2D:4D Ratio" )
Measurements of spermatophore mass (milligrams) in 35 fireflies (Photinus ignitus).
Fireflies
Fireflies
A data frame with 35 observations of one variable.
inferred from Cratsley, C.K. and S.M. Lewis. 2003. Female preference for male courtship flashes in Photinus ignitus fireflies. Behavioral Ecology 14: 135-140.
http://beheco.oxfordjournals.org/cgi/content/abstract/14/1/135
http://en.wikipedia.org/wiki/Firefly
str(Fireflies) histogram(~ sp.mass, Fireflies, n = 12)
str(Fireflies) histogram(~ sp.mass, Fireflies, n = 12)
Flash duration (measured in milliseconds) of a sample of male fireflies (Photinus ignitus; n = 35).
FireflyFlash
FireflyFlash
A data frame with 35 observations of one variable.
duration of flash (milliseconds)
inferred from Cratsley, C.K. and S.M. Lewis. 2003. Female preference for male courtship flashes in Photinus ignitus fireflies. Behavioral Ecology 14: 135-140.
str(FireflyFlash) histogram(~flash, FireflyFlash)
str(FireflyFlash) histogram(~flash, FireflyFlash)
Forehead patch size in 30 male Collared Flycatachers measured in two consecutive years.
FlycatcherPatch
FlycatcherPatch
A data frame with 30 observations on the following 2 variables.
a numeric vector
a numeric vector
Griffith, S.C. and B.C. Sheldon. 2001. Phenotypic plasticity in the expression of a sexually selected trait: neglected components of variation. Animal Behaviour 61: 987-993.
str(FlycatcherPatch) xyplot(patch99 ~ patch98, FlycatcherPatch)
str(FlycatcherPatch) xyplot(patch99 ~ patch98, FlycatcherPatch)
Testes size (square mm; Testes.area
) in 8 populations of common
yellow dung flies (Scathophaga stercoraria) with different mating
systems (Mating.system
).
FlyTestes
FlyTestes
A data frame with 8 observations on the following 2 variables.
a factor with levels Monogamous
Polyandrous
a numeric vector
Hosken, D.J. and P.I. Ward. 2001. Experimental evidence for testis size evolution via sperm competition. Ecology Letters 4: 10-13.
http://en.wikipedia.org/wiki/Scathophaga_stercoraria
str(FlyTestes) FlyTestes
str(FlyTestes) FlyTestes
Number of genes regulated by 109 regulatory genes of Saccharomyces cerevisiae.
GeneRegulation
GeneRegulation
A data frame with 26 observations on the following 2 variables.
a numeric vector
a numeric vector
Guelzim, N., S. Bottani, P. Bourgine and F. Képès. 2002. Topological and causal structure of the yeast transcriptional regulatory network. Nature Genetics 31: 60-63.
str(GeneRegulation) xyplot(count ~ genes.regulated, GeneRegulation, type='h', lwd=3)
str(GeneRegulation) xyplot(count ~ genes.regulated, GeneRegulation, type='h', lwd=3)
Undulation rate (Hz) of 8 paradise tree snakes (Chrysopelea paradisi).
GlidingSnakes
GlidingSnakes
A data frame with eight observations of one variable.
undulation rate
Socha, J.J. 2002. Gliding flight in the paradise tree snake. Nature 418: 603-604.
http://www.nature.com/nature/journal/v418/n6898/abs/418603a.html
histogram(~undulation.rate , data=GlidingSnakes, n=7, xlab = "Undulation rate (Hz)", type='count')
histogram(~undulation.rate , data=GlidingSnakes, n=7, xlab = "Undulation rate (Hz)", type='count')
Arrival dates for males and females in 10 pairs of Black-tailed Godwits (Limosa limosa)
GodwitArrival
GodwitArrival
A data frame with 10 observations on the following 2 variables.
a numeric vector
a numeric vector
Gunnarsson, T.G., J.A. Gill, T. Sigurbjörnsson, and W.J. Sutherland. 2004. Pair bonds: arrival synchrony in migratory birds. Nature 431: 646.
http://en.wikipedia.org/wiki/Black-tailed_godwit
xyplot(male~female, GodwitArrival, main='Arrival of Godwit pairs')
xyplot(male~female, GodwitArrival, main='Arrival of Godwit pairs')
Species diversity in 10 experimental plots in the Park Grass Experiment at Rothamsted Experimental Station to which varying numbers of nutrients have been added.
Grassland
Grassland
A data frame with 10 observations on the following 2 variables.
a numeric vector
a numeric vector
Harpole, W. S. and D. Tilman. 2007. Grassland species loss due to reduced niche dimension. Nature 446: 791-793.
xyplot(num.species ~ jitter(nutrients, amount=0.1), Grassland, pch=16)
xyplot(num.species ~ jitter(nutrients, amount=0.1), Grassland, pch=16)
Two-by-two contingency table of malaria (Plasmodium) infection status in control and egg-removal populations of Great Tit (Parus major).
GreatTitMalaria
GreatTitMalaria
A data frame with 65 observations on the following 2 variables.
a factor with levels Control
and
Egg removal
a ordered factor with levels
No Malaria
and Malaria
Oppliger, A., P. Christe, and H. Richner. 1996. Clutch size and malaria resistance. Nature 381: 565.
http://www.nature.com/nature/journal/v381/n6583/abs/381565a0.html
str(GreatTitMalaria) table(GreatTitMalaria) if(require(vcd)) { mosaic(~treatment + response, GreatTitMalaria) }
str(GreatTitMalaria) table(GreatTitMalaria) if(require(vcd)) { mosaic(~treatment + response, GreatTitMalaria) }
Measures of biodiversity in 15 urban green spaces in Sheffield, England.
Greenspace
Greenspace
A data frame with 15 observations on the following 6 variables.
a factor with levels A
- O
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
Fuller, R.A., K.N. Irvine, P. Devine-Wright, P.H. Warren, and K.J. Gaston. 2007. Psychological benefits of greenspace increase with biodiversity. Biology Letters 3: 390-394.
http://rsbl.royalsocietypublishing.org/content/3/4/390.abstract
str(Greenspace) splom(Greenspace[,2:6])
str(Greenspace) splom(Greenspace[,2:6])
The father's ornamentation (composite score of color and brightness) and son's attractiveness (relative rates of visits by females) in male guppies (Poecilia reticulata).
Guppies
Guppies
A data frame with 36 observations on the following 2 variables.
a numeric vector
a numeric vector
inferred from Brooks, R. 2000. Negative genetic correlation between male sexual attractiveness and survival. Nature 406: 67-70.
http://www.nature.com/nature/journal/v406/n6791/abs/406067a0.html
str(Guppies) xyplot(son.attract ~ father.ornament, Guppies, xlab = "Father's ornamentation", ylab = "Son's attractiveness" )
str(Guppies) xyplot(son.attract ~ father.ornament, Guppies, xlab = "Father's ornamentation", ylab = "Son's attractiveness" )
Relative rates of hemoglobin concentration in four populations of humans living at different altitudes.
Hemoglobin
Hemoglobin
A data frame with 40 observations on the following 3 variables.
a numeric vector
a factor with levels: Andes
, Ethiopia
,
Tibet
, and USA
a numeric vector
inferred from Beall, C.M., M.J. Decker, G.M. Bittenham, I. Kushner, A. Gebremedhin, K.P. Strohl. 2002. An Ethiopian pattern of human adaptation to high-altitude hypoxia. Proceeding of the National Academy of Sciences (USA) 99(26): 17215-17218.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC139295/
str(Hemoglobin) xyplot(relative.frequency ~ hemoglobin | group, Hemoglobin, type ='h', lwd=4, layout=c(1,4))
str(Hemoglobin) xyplot(relative.frequency ~ hemoglobin | group, Hemoglobin, type ='h', lwd=4, layout=c(1,4))
Spatial memory score (memory
) and percent lesion of the hippocampus
(lesion
).
HippocampusLesions
HippocampusLesions
A data frame with 57 observations on the following 2 variables.
a numeric vector
a numeric vector
Broadbent, N.J., L.R. Squire, and R.E. Clark. 2004. Spatial memory, recognition memory, and the hippocampus. Proceedings of the National Academy of Sciences (USA) 101: 14515-14520.
HippocampusLesions xyplot(memory ~ lesion, data = HippocampusLesions, pch = 16, col = "red") plot(memory ~ lesion, data = HippocampusLesions, pch = 16, col = "red")
HippocampusLesions xyplot(memory ~ lesion, data = HippocampusLesions, pch = 16, col = "red") plot(memory ~ lesion, data = HippocampusLesions, pch = 16, col = "red")
Uses lattice::barchart() to build a histogram from tabulated data.
histochart( x, data = NULL, box.ratio = 100, origin = 0, horizontal = FALSE, ... )
histochart( x, data = NULL, box.ratio = 100, origin = 0, horizontal = FALSE, ... )
x |
formula of form |
data |
data frame in which the formula |
box.ratio |
ratio of bar widths to gaps between bars |
origin |
where do bars begin? |
horizontal |
Should bars go horizontal? |
... |
other arguments passed to lattice::barchart() |
This is just a convenience wrapper around lattice::barchart().
Randall Pruim ([email protected])
histochart( dbinom(0:30, 30, 0.35) ~ 0:30 )
histochart( dbinom(0:30, 30, 0.35) ~ 0:30 )
Squamosal horn length (mm; horn.length
) and predation status
(group
; living or killed) for 184 horned lizards (Phrynosoma
mcalli).
HornedLizards
HornedLizards
A data frame with 184 observations on the following 2 variables.
a numeric vector
a numeric vector
Young, K.V., E.D. Brodie, Jr., and E.D. Brodie, III. 2004. How the horned lizard got its horns. Science 304: 65.
http://www.sciencemag.org/cgi/pdf_extract/304/5667/65
str(HornedLizards) histogram(~horn.length | group, HornedLizards, layout=c(1,2), xlab="Horn Length (mm)")
str(HornedLizards) histogram(~horn.length | group, HornedLizards, layout=c(1,2), xlab="Horn Length (mm)")
Body temperature for 25 randomly chosen health people
HumanBodyTemp
HumanBodyTemp
A data frame with 25 observations of one variable.
body temperature (degrees F)
Shoemaker, A. L. 1996. What's normal? – Temperature, gender, and heart rate. Journal of Statistics Education 4(2).
http://www.amstat.org/publications/jse/v4n2/datasets.shoemaker.html
Mackowiak, P.A., Wasserman, S.S., and Levine, M.M. 1992. A critical appraisal of 98.6 degrees F, the upper limit of the normal body temperature, and other legacies of Carl Reinhold August Wunderlich. Journal of the American Medical Association 268: 1578-1580.
histogram(~temp, HumanBodyTemp) stem(HumanBodyTemp$temp, scale = 2) favstats(HumanBodyTemp$temp)
histogram(~temp, HumanBodyTemp) stem(HumanBodyTemp$temp, scale = 2) favstats(HumanBodyTemp$temp)
Lengths in number of nucleotides (gene.length
) for 20,290 human genes
HumanGeneLengths
HumanGeneLengths
A data frame with 20,290 observations on the following variable.
a numeric vector
Hubbard, T., D. Andrews, M. Caccamo, G. Cameron, Y. Chen, M. Clamp, L. Clarke, G. Coates, T. Cox, F. Cunningham, V. Curwen, T. Cutts, T. Down, R. Durbin, X. M. Fernandez-Suarez, J. Gilbert, M. Hammond, J. Herrero, H. Hotz, K. Howe, V. Iyer, K. Jekosch, A. Kahari, A. Kasprzyk, D. Keefe, S. Keenan, F. Kokocinsci, D. London, I. Longden, G. McVicker, C. Melsopp, P. Meidl, S. Potter, G. Proctor, M. Rae, D. Rios, M. Schuster, S. Searle, J. Severin, G. Slater, D. Smedley, J. Smith, W. Spooner, A. Stabenau, J. Stalker, R. Storey, S. Trevanion, A. Ureta-Vidal, J. Vogel, S. White, C. Woodwark, and E. Birne. 2005. Ensembl 2005. Nucleic Acids Research 33: D447-D453.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC540092/
str(HumanGeneLengths) histogram(~ gene.length, HumanGeneLengths, subset = gene.length < 15000)
str(HumanGeneLengths) histogram(~ gene.length, HumanGeneLengths, subset = gene.length < 15000)
Number of hurricanes greater than or equal to category 3 on the Safir-Simpson scale during the 20th century.
Hurricanes
Hurricanes
A data frame with 4 observations on the following 2 variables.
a numeric vector
a numeric vector
Blake, E.S., E.N. Rappaport, J.D. Jarrell, and C.W. Landsea. 2005. The deadliest, costliest, and most intense United States tropical cyclones from 1851 to 2006 (and other frequently requested hurricane facts). NOAA Technical Memorandum NWS TPC-4.
http://www.aoml.noaa.gov/hrd/Landsea/Blakeetal_noaamemoApr2007.pdf
Hurricanes
Hurricanes
Body size change in 64 Galápagos marine iguanas (Amblyrhynchus cristatus) that survived the 1992-1993 El Niño event.
Iguanas
Iguanas
A data frame with 64 observations of one variable.
Wikelski, M. and C. Thom. 2000. Marine iguanas shrink to survive El Niño. Nature 403: 37-38.
http://en.wikipedia.org/wiki/Marine_iguana
str(Iguanas) histogram(~ change.in.length, Iguanas, n = 10)
str(Iguanas) histogram(~ change.in.length, Iguanas, n = 10)
Area coverage of red algae (Mazzaella parksii) in two herbivore
treatments (herbivores
) at two tide levels (height
).
IntertidalAlgae
IntertidalAlgae
A data frame with 64 observations on the following 3 variables.
a factor with levels low
and
mid
a factor with levels minus
and
plus
a numeric vector
Harley, C.D.G. 2003. Individualistic vertical responses of interacting species determine range limits across a horizontal gradient. Ecology 84: 1477-1488.
str(IntertidalAlgae) # Using * includes the main effects and the interaction aov.fit <- aov(sqrt.area ~ herbivores * height, data = IntertidalAlgae) summary(aov.fit) lm.fit <- lm(sqrt.area ~ herbivores * height, data = IntertidalAlgae) anova(lm.fit)
str(IntertidalAlgae) # Using * includes the main effects and the interaction aov.fit <- aov(sqrt.area ~ herbivores * height, data = IntertidalAlgae) summary(aov.fit) lm.fit <- lm(sqrt.area ~ herbivores * height, data = IntertidalAlgae) anova(lm.fit)
Shift in circadian rhythm (hours; shift
) in three light treatments
(treatment
).
JetLagKnees
JetLagKnees
A data frame with 22 observations on the following 2 variables.
a factor with levels control
,
eyes
, and knee
a numeric vector
inferred from Wright, K.P., Jr. and C.A. Czeisler 2002. Absence of circadian phase resetting in response to bright light behind the knees. Science 297: 571.
http://www.sciencemag.org/cgi/content/full/297/5581/571
demo(sec15.1)
demo(sec15.1)
Data on body mass and beak length in three species of finches:
Crimson-rumped waxbill (CRU.WAXB
), Cutthroat finch (CUTTHROA
),
and White-browed sparrow weaver (WB.SPARW
).
KenyaFinches
KenyaFinches
A data frame with 45 observations on the following 3 variables.
a factor with levels: CRU.WAXB
,
CUTTHROA
, and WB.SPARW
mass (g)
beak length (mm)
Schluter, D. 1988. The evolution of finch communities on islands and continents: Kenya vs. Galapagos. Ecological Monographs 58: 229-249.
table(KenyaFinches$species) xyplot(beak.length ~ species, KenyaFinches) bwplot(beak.length ~ species, KenyaFinches)
table(KenyaFinches$species) xyplot(beak.length ~ species, KenyaFinches) bwplot(beak.length ~ species, KenyaFinches)
Proficiency score (summary of reading, writing, and speech) in subjects' second language and density of gray matter in the left inferior parietal region.
LanguageBrains
LanguageBrains
A data frame with 22 observations on the following 2 variables.
a numeric vector
a numeric vector
Mechelli, A., J.T. Crinion, U. Noppeney, J. O'Doherty, J. Ashburner, R.S. Frackowiak, and C.J. Price. 2004. Structural plasticity in the bilingual brain. Nature 431: 757.
str(LanguageBrains) xyplot(proficiency ~ greymatter, LanguageBrains)
str(LanguageBrains) xyplot(proficiency ~ greymatter, LanguageBrains)
Age (age
) and coefficient of variation (cv
) in larval fish
from exploited and unexploited species (exploited
).
LarvalFish
LarvalFish
A data frame with 28 observations on the following 3 variables.
a numeric vector
a numeric vector
a factor with levels no
and
yes
Hsieh, C.H., C.S. Reiss, J.R. Hunter, J.R. Beddington, R.M. May, and G. Sugihara. 2006. Fishing elevates variability in the abundance of exploited species. Nature 443: 859-862.
str(LarvalFish) xyplot(cv ~ age | exploited, LarvalFish) xyplot(cv ~ age, groups=exploited, LarvalFish)
str(LarvalFish) xyplot(cv ~ age | exploited, LarvalFish) xyplot(cv ~ age, groups=exploited, LarvalFish)
Prevalence of left-handedness (percent.left
) and homicide rates
(murder
) for 8 societies.
Lefthanded
Lefthanded
A data frame with 8 observations on the following 2 variables.
a numeric vector
a numeric vector
Faurie, C. and M. Raymond. 2005. Handedness, homicide and negative frequency-dependent selection. Proceedings of the Royal Society of London B 272: 25-28.
http://rspb.royalsocietypublishing.org/content/272/1558/25.abstract
str(Lefthanded) xyplot(murder.rate ~ percent.left, Lefthanded)
str(Lefthanded) xyplot(murder.rate ~ percent.left, Lefthanded)
Time to reproduction (Days
) based on whether death of previous cubs
was due to infanticide (New
) or accidental (Same
).
LionCubs
LionCubs
A data frame with 14 observations on the following 2 variables.
a factor with accident
and
infanticide
a numeric vector
Packer, C. and A.E. Pusey. 1983. Adaptations of female lions to infanticide by incoming males. The American Naturalist 121: 716-728.
xyplot(days.to.next.cub ~ cause.of.death, LionCubs)
xyplot(days.to.next.cub ~ cause.of.death, LionCubs)
Ages (in years; age
) of 32 male lions and relative coloration of
their noses (proportion.black
).
LionNoses
LionNoses
A data frame with 32 observations on the following 2 variables.
a numeric vector
a numeric vector
Whitman, K., A.M. Starfield, H.S. Quadling and C. Packer. 2004. Sustainable trophy hunting of African lions. Nature 428: 175-178.
http://www.nature.com/nature/journal/v428/n6979/abs/nature02395.html
xyplot(age ~ proportion.black, LionNoses)
xyplot(age ~ proportion.black, LionNoses)
The unbound fraction of taurocholate for each of five concentrations of administered taurocholate.
LiverPreparation
LiverPreparation
A data frame with 5 observations on the following 2 variables.
a numeric vector
a numeric vector
Smallwood, R.H., D.J. Morgan, G.W. Mihaly, and R.A. Smallwood. 1998. Effect of a protein binding change on unbound and total plasma concentrations for drugs of intermediate hepatic extraction. Journal of Pharmacokinetics and Pharmacodynamics 16:397-411.
http://www.ncbi.nlm.nih.gov/pubmed/3199317
str(LiverPreparation) xyplot(unbound.fraction ~ concentration, LiverPreparation)
str(LiverPreparation) xyplot(unbound.fraction ~ concentration, LiverPreparation)
Bite force (N) and territory area in 11 male collared lizards (Crotaphytus collaris).
LizardBite
LizardBite
A data frame with 11 observations on the following 2 variables.
force of bite (N)
area of territory
In the original publication (Lappin and Husak,
2005; Figure 3A), the data are presented in log-10 units. The
data in LizardBite
and in chapter 17, question 9 was
back-transformed using e (i.e., exp()
). To recover the data
from the original publication, use 10^(log(LizardBite$territory))
and 10^(log(LizardBite$bite))
.
Lappin, A. K., and J. F. Husak. 2005. Weapon performance, not size, determines mating success and potential reproductive output in the collared lizard (Crotaphytus collaris). The American Naturalist 166: 426-436.
str(LizardBite) xyplot(territory ~ bite, LizardBite)
str(LizardBite) xyplot(territory ~ bite, LizardBite)
Sprint speeds (speed
) in 34 canyon lizards
(Sceloporous merriami) measured in
successive years in Big Bend National Park. Note
that lizard
is not coded as a factor.
LizardSprint
LizardSprint
A data frame with 68 observations on the following 2 variables.
a numeric vector
a numeric vector
inferred from Huey, R.B. and A.E. Dunham. 1987. The repeatability of locomotor performance in natural populations of the lizard Sceloporus merriami. Evolution 42: 1116-1120.
http://en.wikipedia.org/wiki/Sceloporus_merriami
histogram(~ speed, LizardSprint) Lizard2 <- aggregate(speed ~ lizard, LizardSprint, mean) histogram(~ speed, Lizard2)
histogram(~ speed, LizardSprint) Lizard2 <- aggregate(speed ~ lizard, LizardSprint, mean) histogram(~ speed, Lizard2)
Orientation of 15 lobsters relative to initial position.
Lobsters
Lobsters
A data frame with 15 observations of one variable.
Boles, L.C. and K.J. Lohmann. 2003. True navigation and magnetic maps in spiny lobsters. Nature 421: 60-63.
http://www.unc.edu/depts/geomag/PDFGeomag/BolesandLohmann2003.pdf
histogram(~ orientation, Lobsters) dotplot(~ orientation, Lobsters)
histogram(~ orientation, Lobsters) dotplot(~ orientation, Lobsters)
Masses of cones of lodgepole pines (conemass
) from 16 different
habitat types (habitat
) in western North America.
LodgepolePines
LodgepolePines
A data frame with 16 observations on the following 4 variables.
a factor with levels: island
absent
, island present
, and mainland present
mass of cone
island
or mainland
absent
or
present
Edelaar, P. and C.W. Benkman. 2006. Replicated population divergence caused by localised coevolution? A test of three hypotheses in the Red Crossbill-lodgepole pine system. Journal of Evolutionary Biology 19: 1651-1659.
http://en.wikipedia.org/wiki/Lodgepole_pine
http://en.wikipedia.org/wiki/Red_crossbill
LodgepolePines str(LodgepolePines) xyplot(conemass ~ habitat, LodgepolePines)
LodgepolePines str(LodgepolePines) xyplot(conemass ~ habitat, LodgepolePines)
Autoimmune reactivity (dilution
at which reactivity could be
detected) in three treatment
s of lupus-prone mice.
LupusMice
LupusMice
A data frame with 20 observations on the following 2 variables.
a factor with levels: enhanced
,
sham
, and untreated
a numeric vector of the dilution level at which reactivity could be detected
McGaha, T.L., B. Sorrentino, and J.V. Ravetch. 2005. Restoration of tolerance in lupus by targeted inhibitory receptor expression. Science 307: 590-593.
str(LupusMice)
str(LupusMice)
Number of lynx pelts (pelts
) reported in Canada per year from 1752 to
1819.
Lynx
Lynx
A data frame with 68 observations on the following 2 variables.
a numeric vector
a numeric vector
Elton, C. and M. Nicholson. 1942. The ten-year cycle in numbers of the lynx in Canada. Journal of Animal Ecology 11: 215-244.
xyplot(pelts ~ year, Lynx, type=c('p','l'))
xyplot(pelts ~ year, Lynx, type=c('p','l'))
Relative biomass in 32 marine reserves.
MarineReserve
MarineReserve
A data frame with 32 observations of one variable.
Halpern, B.S. 2003. The impact of marine reserves: do reserves work and does reserve size matter? Ecological Applications 13: S117-S137.
str(MarineReserve) histogram(~ biomass.ratio, MarineReserve)
str(MarineReserve) histogram(~ biomass.ratio, MarineReserve)
The frequency of mass extinctions in the fossil record.
MassExtinctions
MassExtinctions
A data frame with 21 observations on the following 2 variables.
a numeric vector
a numeric vector
Raup, D.M. and J.J. Sepkoski, Jr. 1982. Mass extinctions in the marine fossil record. Science 215: 1501-1503.
http://www.sciencemag.org/cgi/content/abstract/sci;215/4539/1501
MassExtinctions
MassExtinctions
Energy expenditure (ln.energy
) in two castes (caste
) of
Damaraland mole rats (Cryptomys damarensis) with body mass
(ln.mass
) as a covariate.
MoleRats
MoleRats
A data frame with 35 observations on the following 3 variables.
a factor with levels lazy
and
worker
a numeric vector
a numeric vector
inferred from Scantlebury, M., J.R. Speakman, M.K. Oosthuizen, T.J. Roper and N.C. Bennett. 2006. Energetics reveals physiologically distinct castes in a eusocial mammal. Nature 440: 795-797.
http://www.nature.com/nature/journal/v440/n7085/abs/nature04578.html
MoleRats
MoleRats
Weights of female and male mosquitos (Anopheles darlingi)
Mosquitoes
Mosquitoes
A data frame with 20 observations on the following 2 variables.
a numeric vector
a
factor with levels female
and male
Lounibos, L.P., N. Nishimura, J. Conn, and R. Lourenco-de-Oliveira. 1995. Life history correlates of adult size in the malaria vector Anopheles darlingi. Memórias do Instituto Oswaldo Cruz 90: 769-774.
http://www.bioline.org.br/request?oc95154
xyplot(weight ~ sex, Mosquitoes)
xyplot(weight ~ sex, Mosquitoes)
Percentage of time spent stretching in three treatments of mice. Both
condition
and treatment
code for the same variable.
MouseEmpathy
MouseEmpathy
A data frame with 42 observations on the following 3 variables.
a factor with levels Both
Writhing
, Isolated
, and One Writhing
a numeric vector
a
factor with levels bw
, isolated
, and ow
Langford, D.J., S.E. Crager, Z. Shehzah, S.B. Smith, S.G. Sotocinal, J.S. Levenstadt, M.L. Chande, D.J. Levitin, J.S. Mogill. 2006. Social modulation of pain as evidence for empathy in mice. Science 312: 1967-1970.
str(MouseEmpathy) aov.fit <- aov(percent.stretching ~ treatment, data = MouseEmpathy) summary(aov.fit) lm.fit <- lm(percent.stretching ~ treatment, data = MouseEmpathy) anova(lm.fit)
str(MouseEmpathy) aov.fit <- aov(percent.stretching ~ treatment, data = MouseEmpathy) summary(aov.fit) lm.fit <- lm(percent.stretching ~ treatment, data = MouseEmpathy) anova(lm.fit)
Brain size (lnbrain
) and body mass (lnmass
) in Neanderthals
and early modern humans (species
).
NeanderthalBrains
NeanderthalBrains
A data frame with 39 observations on the following 3 variables.
log of body mass (kg)
log of brain size
a factor
with levels neanderthal
recent
Ruff, C.B., E. Trinkaus, and T.W. Holliday. 1997. Body mass and encephalization in Pleistocene Homo. Nature 387: 173-176.
xyplot(ln.brain ~ ln.mass, data=NeanderthalBrains, groups=species)
xyplot(ln.brain ~ ln.mass, data=NeanderthalBrains, groups=species)
lifespan
of the nematode Caenorhabditis elegans in control and
three experimental treatment
s of the anticonvulsant drug
trimethadione.
NematodeLifespan
NematodeLifespan
A data frame with 200 observations on the following 2 variables.
a factor with levels: adult
,
larva
, larva+adult
, and water
a numeric vector of lifespan
inferred from Evason, K., C. Huang, I. Yamben, D.F. Covey, and K. Kornfeld. 2005. Anticonvulsant medications extend worm life-span. Science 307: 258-262.
http://www.sciencemag.org/cgi/content/abstract/307/5707/258
str(NematodeLifespan)
str(NematodeLifespan)
Photosynthetic capacity (photosynthetic.capacity
) and number of
fruits produced in the previous season (previous.fruits
) of 9 females
of Ocotea tenera.
NeotropicalTrees
NeotropicalTrees
A data frame with 9 observations on the following 2 variables.
a numeric vector
a numeric vector
inferred from Wheelwright, N.T. and B.A. Logan. 2004. Previous-year reproduction reduces photosynthetic capacity and slows lifetime growth in females of a neotropical tree. Proceedings of the National Academy of Sciences (USA) 101: 8051-8055.
http://www.pnas.org/content/101/21/8051.long
str(NeotropicalTrees) NeotropicalTrees
str(NeotropicalTrees) NeotropicalTrees
Percent reduction in crawl speed (resistance
) in the garter snake
after injection of the neurotoxin tetrodotoxin from the rough-skinned newt
(Taricha granulosa).
Newts
Newts
A data frame with 12 observations on the following 2 variables.
a factor with levels: Benton
and
Warrenton
a numeric vector
Geffeney, S., E.D. Brodie, Jr., P.C. Ruben, and E.D. Brodie III. 2002. Mechanisms of adaptation in a predator-prey arms race: TTX-resistant sodium channels. Science 297: 1336-1339.
http://www.sciencemag.org/cgi/content/abstract/297/5585/1336
Newts
Newts
Number ( transformed) of Atlantic cod (Gadus
morhua) that recruited (grew to catchable size) in the North Sea over a 39
years span.
NorthSeaCod
NorthSeaCod
A data frame with 39 observations of one variable.
inferred from Beaugrand, G., K.M. Brander, J.A. Lindley, S. Souissi, and P.C. Reid. 2003. Plankton effect on cod recruitment in the North Sea. Nature 426: 661-664.
http://www.nature.com/nature/journal/v426/n6967/abs/nature02164.html
favstats(NorthSeaCod$log10.recruits)
favstats(NorthSeaCod$log10.recruits)
Number of workplace injuries on No Smoking Day (Injuries.on.NSD
)
compared to the same Wednesday in the previous year
(Injuries.before.NSD
) for 1987-1996.
NoSmokingDay
NoSmokingDay
A data frame with 10 observations on the following 3 variables.
a numeric vector
a numeric vector
a numeric vector
Waters, A.J., M.J. Jarvis, and S.R. Sutton. 1998. Nicotine withdrawal and accident rates. Nature 394: 137.
http://www.nosmokingday.org.uk/
NoSmokingDay
NoSmokingDay
Body and brain temperatures (C) in free-ranging
ostriches (Struthio camelus) at the the Lichtenburg Game Breeding
Centre, Lichtenburg, South Africa.
OstrichTemp
OstrichTemp
A data frame with 6 observations on the following 3 variables.
a numeric vector identifying ostrich number
a numeric vector of body temperature in
C
a numeric vector of
brain temperature in C
Fuller, A., P.R. Kamerman, S.K. Maloney, G. Mitchell, and D. Mitchell. 2003. Variability in brain and arterial blood temperatures in free-ranging ostriches in their natural habitat. Journal of Experimental Biology 206: 1171-1181.
http://jeb.biologists.org/cgi/content/abstract/206/7/1171
http://www.sa-venues.com/game-reserves/nwp_lichtenburg.htm
xyplot(brain.temp ~ body.temp, OstrichTemp)
xyplot(brain.temp ~ body.temp, OstrichTemp)
Slope of regressions of mass-specific metabolic rate on heart rate for three groups of Macaroni Penguins.
Penguins
Penguins
A data frame with 24 observations on the following 2 variables.
a factor with levels BF
, BM
,
and MF
a numeric vector
Green, J. A., P. J. Butler, A. J. Woakes, I. L. Boyd and R. L. Holder. 2001. Heart rate and rate of oxygen consumption of exercising macaroni penguins. Journal of Experimental Biology 204: 673-684.
str(Penguins) dotplot(slope ~ group, Penguins)
str(Penguins) dotplot(slope ~ group, Penguins)
Persistence times (generations
) in the annual plant Cardamine
pensylvanica in four experimental populations (treatment
).
PlantPersistence
PlantPersistence
A data frame with 16 observations on the following 2 variables.
a numeric vector
a factor with levels: Isolated
,
Medium
, Long
, and Continuous
Molofsky, J. and J.-B. Ferdy. 2005. Extinction dynamics in experimental metapopulations. Proceedings of the National Academy of Sciences (USA) 102: 3726-3731.
xyplot(generations~treatment, PlantPersistence)
xyplot(generations~treatment, PlantPersistence)
Genetic distance between pairs of species of the genus Silene and proportion of their hybrid offspring that are sterile.
Pollen
Pollen
A data frame with 23 observations on the following 2 variables.
a numeric vector
a numeric vector
Moyle, L.C., M.S. Olson, and P. Tiffin. 2004. Patterns of reproductive isolation in three angiosperm genera. Evolution 58: 1195-1208.
str(Pollen) xyplot(proportion.sterile ~ genetic.distance, Pollen)
str(Pollen) xyplot(proportion.sterile ~ genetic.distance, Pollen)
The number of Powerball tickets sold per day of the week for three years.
Powerball
Powerball
A data frame with 7 observations on the following 2 variables.
a character vector
a numeric vector
Oster, E. 2004. Dreaming big: Why do people play Powerball? Chance News 13.02.
http://www.dartmouth.edu/~chance/chance_news/recent_news/chance_news_13.02.html
Powerball xyplot(millions.of.tickets.sold ~ day, Powerball)
Powerball xyplot(millions.of.tickets.sold ~ day, Powerball)
Body mass (g) and metabolic rate (watts) for 17 species of primates.
PrimateMetabolism
PrimateMetabolism
A data frame with 17 observations on the following 2 variables.
mass (g)
metabolic rate (watts)
Heusner, A.A. 1991. Size and power in mammals. Journal of Experimental Biology 160: 25-54.
http://jeb.biologists.org/cgi/content/abstract/160/1/25
str(PrimateMetabolism) xyplot(bmr ~ mass, PrimateMetabolism) xyplot(bmr ~ mass, PrimateMetabolism, scales=list(log=TRUE))
str(PrimateMetabolism) xyplot(bmr ~ mass, PrimateMetabolism) xyplot(bmr ~ mass, PrimateMetabolism, scales=list(log=TRUE))
White blood cell (WBC) counts in pairs of closely related primate species
PrimateWBC
PrimateWBC
A data frame with 9 observations on the following 2 variables.
a numeric vector
a numeric vector
Nunn, C.L., J.L. Gittleman, and J. Antonovics. 2000. Promiscuity and the primate immune system. Science 290: 1168-1170.
xyplot(WBC.more ~ WBC.less, PrimateWBC)
xyplot(WBC.more ~ WBC.less, PrimateWBC)
Progesterone levels and rates of ventilation during submaximal exercise in 30 women.
ProgesteroneExercise
ProgesteroneExercise
A data frame with 30 observations on the following 2 variables.
a numeric vector
a numeric vector
Brutsaert, T.D., H. Spielvogel, E. Caceres, M. Araoz, R.T. Chatterton, V.J. Vitzthum. 2002. Effect of menstrual cycle phase on exercise performance of high-altitude native women at 3600 m. Journal of Experimental Biology 205: 233-239
http://jeb.biologists.org/cgi/content/abstract/205/2/233
str(ProgesteroneExercise) xyplot(ventilation ~ progesterone, ProgesteroneExercise)
str(ProgesteroneExercise) xyplot(ventilation ~ progesterone, ProgesteroneExercise)
Successful numbers of broods (Number.of.successful.broods
) in two
groups of female pseudoscrpions (Cordylochernes scorpioides), one
mated to the same male twice and one to two different males.
Pseudoscorpions
Pseudoscorpions
A data frame with 36 observations on the following 2 variables.
a factor with levels DM
SM
a numeric vector
Newcomer, S.D., J.A. Zeh, and D.W. Zeh. 1999. Genetic benefits enhance the reproductive success of polyandrous females. Proceedings of the National Academy of Sciences (USA) 96: 10236-10241.
http://www.pnas.org/content/96/18/10236.long
str(Pseudoscorpions) bwplot(successful.broods ~ treatment, Pseudoscorpions) aggregate(successful.broods ~ treatment, Pseudoscorpions, favstats)
str(Pseudoscorpions) bwplot(successful.broods ~ treatment, Pseudoscorpions) aggregate(successful.broods ~ treatment, Pseudoscorpions, favstats)
Number of predators
approaching models painted to resemble pufferfish
(Canthigaster valentini) across a range of similarities
(resemblance
)
Pufferfish
Pufferfish
A data frame with 20 observations on the following 2 variables.
a numeric vector
a numeric vector
Caley, M.J. and D. Schluter. 2003. Predators favour mimicry in a tropical reef fish. Proceedings of the Royal Society of London Series B, Biological Sciences 270: 667-672.
http://rspb.royalsocietypublishing.org/content/270/1516/667.full.pdf
http://en.wikipedia.org/wiki/Canthigaster_valentini
http://www.fishbase.org/Summary/SpeciesSummary.php?id=6544
str(Pufferfish) xyplot(predators ~ jitter(resemblance, amount = 0.1), Pufferfish) Pufferfish
str(Pufferfish) xyplot(predators ~ jitter(resemblance, amount = 0.1), Pufferfish) Pufferfish
Temperature change after a meal ( rattlesnakes (Crotalus durissus).
Rattlesnakes
Rattlesnakes
A data frame with 17 observations on the following 2 variables.
a numeric vector
a numeric vector
Tattersall, G.J., W.K. Milsom, A.S. Abe, S.P. Brito, and D.V. Andrade. 2004. The thermogenesis of digestion in rattlesnakes. Journal of Experimental Biology 207: 579-585.
http://jeb.biologists.org/cgi/content/abstract/207/4/579
str(Rattlesnakes) xyplot(meal.size ~ temp.change, Rattlesnakes)
str(Rattlesnakes) xyplot(meal.size ~ temp.change, Rattlesnakes)
Number of bodies reaching rigormortis in each hour after death.
Rigormortis
Rigormortis
A data frame with 12 observations on the following 2 variables.
a numeric vector
a numeric vector
Pounder, D.J. 1995. Postmortem changes and time of death. University of Dundee.
xyplot(count ~ hours, Rigormortis, type='h', lwd=3) barchart(count ~ hours, Rigormortis, horizontal=FALSE, origin=0)
xyplot(count ~ hours, Rigormortis, type='h', lwd=3) barchart(count ~ hours, Rigormortis, horizontal=FALSE, origin=0)
Perceived impressiveness (impressiveness
) of a written account of the
Indian Rope Trick and the corresponding number of year
s since it was
witnessed.
RopeTrick
RopeTrick
A data frame with 21 observations on the following 2 variables.
a numeric vector
a numeric vector
Wiseman, R. and P. Lamont. 1996. Unravelling the Indian rope-trick. Nature 383: 212-213.
http://www.richardwiseman.com/resources/ropeJSPR.pdf
xyplot(impressiveness ~ years, RopeTrick)
xyplot(impressiveness ~ years, RopeTrick)
Time to mating (time.to.mating
) in fed and unfed (treatment
)
sagebrush crickets (Cyphoderris strepitans).
SagebrushCrickets
SagebrushCrickets
A data frame with 24 observations on the following 2 variables.
a factor with levels: fed
and
starved
a numeric vector
Chadwick Johnson, J., T.M. Ivy, and S.K. Sakaluk. 1999. Female remating propensity contingent on sexual cannibalism in sagebrush crickets, Cyphoderris strepitans: a mechanism of cryptic female choice. Behavioral Ecology 10: 227-233.
SagebrushCrickets str(SagebrushCrickets)
SagebrushCrickets str(SagebrushCrickets)
Skin color sockeye and kokanee morphs of the Pacific salmon (Oncorhynchus nerka) raised in a low carotenoid environment.
SalmonColor
SalmonColor
A data frame with 35 observations on the following 2 variables.
a factor with levels kokanee
and
sockeye
a numeric vector
Craig, J.K. and C. Foote. 2001. Countergradient variation and secondary sexual color: phenotypic convergence promotes genetic divergence in carotenoid use between sympatric anadromous and nonanadromous morphs of sockeye salmon (Oncorhynchus nerka). Evolution 55: 380-391.
SalmonColor histogram(~ skin.color | species, SalmonColor) bwplot(skin.color ~ species, SalmonColor)
SalmonColor histogram(~ skin.color | species, SalmonColor) bwplot(skin.color ~ species, SalmonColor)
Data on frequency of seeding per quadrat for 80 hypothetical quadrats.
Seedlings
Seedlings
A data frame with 8 observations on the following 2 variables.
a numeric vector
a numeric vector
Seedlings
Seedlings
Data for meta-analysis on the relationship between testosterone and aggression.
Selection
Selection
A data frame with 814 observations on the following 8 variables.
species investigated
trait investigated
strength of selection
size of sample
authors of publication
year of publication
journal of publication
volume and pages
Kingsolver, J.G., H.E. Hoekstra, J.M. Hoekstra, D. Berrigan, S.N. Vignieri, C.E. Hill, A. Hoang, P. Gibert, and P. Beerli. 2001. The strength of phenotypic selection in natural populations. The American Naturalist 157: 245-261.
histogram(~ strength.of.selection, Selection,n=40) table(Selection$species) -> s table(s) s[s>10] # most common species table(Selection$traitname) -> t table(t) t[t>10] # most common traits
histogram(~ strength.of.selection, Selection,n=40) table(Selection$species) -> s table(s) s[s>10] # most common species table(Selection$traitname) -> t table(t) t[t>10] # most common traits
Number of species in each of two taxa in closely related taxon pairings and
the difference between the two groups. One taxon has multiple matings
(polyandrous.species
) and one has only single matings
(monandrous.species
).
SexualSelection
SexualSelection
A data frame with 25 observations on the following 4 variables.
a numeric vector
a numeric vector
a numeric vector
identifier
Arnqvist, G., M. Edvardsson, U. Friberg, and T. Nilsson. 2000. Sexual conflict promotes speciation in insects. Proceedings of the National Academy of Sciences (USA) 97: 10460-10464.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC27046/
SexualSelection histogram(~ difference, SexualSelection, n = 20) hist(SexualSelection$difference, breaks = 20) # Calculate the number of tests and the number of negative tests (n <- length(SexualSelection$difference)) (n.neg <- sum(SexualSelection$difference < 0)) 2 * pbinom(q = n.neg, size = n, prob = 0.5) # With a binomial test binom.test(n.neg, n, p = 0.5)
SexualSelection histogram(~ difference, SexualSelection, n = 20) hist(SexualSelection$difference, breaks = 20) # Calculate the number of tests and the number of negative tests (n <- length(SexualSelection$difference)) (n.neg <- sum(SexualSelection$difference < 0)) 2 * pbinom(q = n.neg, size = n, prob = 0.5) # With a binomial test binom.test(n.neg, n, p = 0.5)
Frequency of the nematode Camallanus oxycephalus per fish.
ShadParasites
ShadParasites
A data frame with 7 observations on the following 2 variables.
a numeric vector
a numeric vector
Shaw, D.J., B.T. Grenfell, and A.P. Dobson. 1998. Patterns of macroparasite aggregation in wildlife host populations. Parasitology 117: 597-610.
http://www.ncbi.nlm.nih.gov/pubmed/9881385
ShadParasites
ShadParasites
Body length (cm) and age (days) for 9,665 female Northern fur seals (Callorhinus ursinus).
ShrinkingSeals
ShrinkingSeals
A data frame with 9,665 observations on the following 2 variables.
age (days)
body length (cm)
Trites, A.W. and M.A. Bigg. 1996. Physical growth of northern fur seals: seasonal fluctuations and migratory influences. Journal of Zoology (London) 238: 459-482.
str(ShrinkingSeals) plot(ShrinkingSeals, pch = 16, cex = 0.5) xyplot(length ~ age, ShrinkingSeals, pch=16, alpha=0.65, cex=0.6)
str(ShrinkingSeals) plot(ShrinkingSeals, pch = 16, cex = 0.5) xyplot(length ~ age, ShrinkingSeals, pch=16, alpha=0.65, cex=0.6)
Data on temperature
and number of O-ring failures
for 23 space
shuttle launches.
ShuttleDisaster
ShuttleDisaster
A data frame with 23 observations on the following 2 variables.
a numeric vector
a numeric vector
Dalal, S.R., E.B. Fowlkes, and B. Hoadley. 1989. Risk analysis of the Space Shuttle: Pre-Challenger prediction of failure. Journal of the American Statistical Association 408: 945-957.
Tufte, E.R. 1997. Visual Explanations: Images and Quantities, Evidence and Narrative. Graphics Press.
http://www.edwardtufte.com/tufte/
str(ShuttleDisaster) xyplot( jitter(failures, amount=0.1) ~ temperature, ShuttleDisaster, ylab='number of failures' )
str(ShuttleDisaster) xyplot( jitter(failures, amount=0.1) ~ temperature, ShuttleDisaster, ylab='number of failures' )
Speciation "waiting times" in Hawaiian silverswords (Dubautia).
Silversword
Silversword
A data frame with 21 observations on the following variable.
a numeric vector
inferred from Baldwin, B. G. and M. J. Sanderson 1998. Age and rate of diversification of the Hawaiian silversword alliance (Compositae). Proceedings of the National Academy of Sciences (USA) 95: 9402-9406.
Silversword
Silversword
The increase in "slow-wave" sleep and improvements in spatial learning tasks in 10 humans.
SleepAndPerformance
SleepAndPerformance
A data frame with 10 observations on the following 2 variables.
a numeric vector
a numeric vector
Huber, R., M.F. Ghilardi, M. Massimini, and G. Tononi. 2004. Local sleep and learning. Nature 430: 78-81.
http://www.ncbi.nlm.nih.gov/pubmed/15184907
str(SleepAndPerformance) xyplot(improvement ~ sleep, SleepAndPerformance)
str(SleepAndPerformance) xyplot(improvement ~ sleep, SleepAndPerformance)
Body Masses of 228 female Sockeye Salmon (Oncorhynchus nerka; http://www.nmfs.noaa.gov/pr/species/fish/sockeyesalmon.htm)
SockeyeFemales
SockeyeFemales
A data frame with 228 observations of a single variable.
body mass (kg)
Hendry, A.P., O.K. Berg, and T.P. Quinn. 1999. Condition dependence and adaptation-by-time: Breeding date, life history, and energy allocation within a population of salmon. Oikos 85: 499-514.
str(SockeyeFemales) summary(SockeyeFemales)
str(SockeyeFemales) summary(SockeyeFemales)
A cross table of lifetime reproductive success (LifetimeRS
) in female
and male house sparrows Passer domesticus in Norway.
Sparrows
Sparrows
A data frame with 9 observations on the following 3 variables.
a numeric vector
a numeric vector
a numeric vector
Jensen, H., B.-E. Saether, T.H. Ringsby, J. Tufto, S.C. Griffith, and H. Ellegren. 2004. Lifetime reproductive success in relation to morphology in the House Sparrow Passer domesticus. Journal of Animal Ecology 73: 599-611.
Sparrows
Sparrows
Web height above ground (cm) and colony size for 17 colonies of the spider Cryptophora citricola in Gabon.
SpiderColonies
SpiderColonies
A data frame with 17 observations on the following 3 variables.
identifier
height of web above ground (cm)
number of spiders in colony
Rypstra, A. L. 1979. Foraging folks of spiders, a study of aggregate behavior in Cryptophora citricola Forskal (Araneae: Araneidae) in West Africa. Behavioral Ecology and Sociobiology 5: 291-300.
str(SpiderColonies) SpiderColonies
str(SpiderColonies) SpiderColonies
Data on speed before and after amputation of a pedipalp in the spider genus Tidarren.
SpiderSpeed
SpiderSpeed
A data frame with 32 observations on the following 2 variables.
speed (cm/s) before amputation
speed (cm/s) after amputation
Ramos, M., D.J. Irschick, and T.E. Christenson. 2004. Overcoming an evolutionary conflict: Removal of a reproductive organ greatly increases locomotor performance. Proceedings of the National Academy of Sciences (USA) 101: 4883-4887.
http://en.wikipedia.org/wiki/Pedipalp, http://en.wikipedia.org/wiki/Tidarren, http://www.pnas.org/content/101/14/4883
xyplot(speed.after ~ speed.before, SpiderSpeed) favstats(SpiderSpeed$speed.before) favstats(SpiderSpeed$speed.after) favstats(SpiderSpeed$speed.after - SpiderSpeed$speed.before)
xyplot(speed.after ~ speed.before, SpiderSpeed) favstats(SpiderSpeed$speed.before) favstats(SpiderSpeed$speed.after) favstats(SpiderSpeed$speed.after - SpiderSpeed$speed.before)
Eye width in 9 male stalk-eyed flies (Cyrtodiopsis dalmanni).
Stalkies1
Stalkies1
a data frame with 9 observations of 1 variable
eye span (mm)
Data provided by Kevin Fowler, University College, London.
Stalkies1
Stalkies1
Eyespan width (mm; Eye.span
) in 45 stalk-eyed flies
(Cyrtodiopsis dalmanni) fed a corn or cotton diet (Food
).
Stalkies2
Stalkies2
A data frame with 45 observations on the following 2 variables.
a factor with levels Corn
Cotton
a numeric vector
David, P., T. Bjorksten, K. Fowler, and A. Pomiankowski. 2000. Condition-dependent signalling of genetic variation in stalk-eyed flies. Nature 406: 186-188.
str(Stalkies2) xyplot(eye.span ~ food, Stalkies2) aggregate(eye.span ~ food, Stalkies2, FUN = favstats)
str(Stalkies2) xyplot(eye.span ~ food, Stalkies2) aggregate(eye.span ~ food, Stalkies2, FUN = favstats)
Number of lateral plates (plates
) in threespine sticklebacks
(Gasterosteus aculeatus) with three different Ectodysplasin
genotypes (mm
, Mm
, and MM
).
SticklebackPlates
SticklebackPlates
A data frame with 344 observations on the following 2 variables.
a factor with levels mm
,
Mm
, and MM
number of plates
Colosimo, P.F., C.L. Peichel, K. Nereng, B.K. Blackman, M.D. Shapiro, D. Schluter, and D.M. Kingsley. 2004. The genetic architecture of parallel armor plate reduction in threespine sticklebacks. PLoS Biology 2: 635-641. http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.0020109
Colosimo P.F., K.E. Hosemann, S. Balabhadra, G. Villarreal, M. Dickson, J. Grimwood, J Schmutz, R.M. Myers, D. Schluter, D.M. Kingsley. 2005. Widespread parallel evolution in sticklebacks by repeated fixation of ectodysplasin alleles. Science 307: 1928-33. http://www.sciencemag.org/cgi/content/full/307/5717/1928
aggregate(plates ~ genotype, SticklebackPlates, FUN = favstats) histogram( ~ plates | genotype, SticklebackPlates, layout = c(1,3), n = 15, xlab = "Number of Lateral Body Plates" ) densityplot( ~ plates | genotype, SticklebackPlates, xlab = "Number of Lateral Body Plates", layout = c(1,3) )
aggregate(plates ~ genotype, SticklebackPlates, FUN = favstats) histogram( ~ plates | genotype, SticklebackPlates, layout = c(1,3), n = 15, xlab = "Number of Lateral Body Plates" ) densityplot( ~ plates | genotype, SticklebackPlates, xlab = "Number of Lateral Body Plates", layout = c(1,3) )
Mating preference in 9 populations of three-spined sticklebacks.
SticklebackPreference
SticklebackPreference
A data frame with 9 observations of one variable.
a numeric vector
McKinnon, J. S., S. Mori, B.K. Blackman, L. David, D.M. Kingsley, L. Jamieson, J. Chou, and D. Schluter. 2004. Evidence for ecology's role in speciation. Nature 429: 294-298.
http://www.nature.com/nature/journal/v429/n6989/abs/nature02556.html
SticklebackPreference histogram(~ preference.index, SticklebackPreference) dotplot(~ preference.index, SticklebackPreference)
SticklebackPreference histogram(~ preference.index, SticklebackPreference) dotplot(~ preference.index, SticklebackPreference)
Counts of number of wins for sumo wrestlers.
Sumo
Sumo
A data frame with 16 observations on the following 2 variables.
a numeric vector
a numeric vector
Duggan, M. and S.D. Leavitt. 2002. Winning isn't everything: Corruption in sumo wrestling. The American Economic Review 92: 1594-1605.
xyplot(count ~ wins, Sumo, type='h', lwd=4)
xyplot(count ~ wins, Sumo, type='h', lwd=4)
Relative swimming speed (speed in syrup / speed in water) for 18 swimmers.
SyrupSwimming
SyrupSwimming
A data frame with 18 observations of one variable.
ratio of speed in syrup to speed in water
Gettelfinger, B. and E. L. Cussler. 2004. Will Humans Swim Faster or Slower in Syrup? AIChE Journal 50: 2646-2647.
http://www3.interscience.wiley.com/journal/109665380/issue
SyrupSwimming histogram(~ relative.speed, SyrupSwimming) dotplot(~ relative.speed, SyrupSwimming)
SyrupSwimming histogram(~ relative.speed, SyrupSwimming) dotplot(~ relative.speed, SyrupSwimming)
Data from Table 1 (p. 14) on causes of death for all races, both sexes, ages 15-19.
TeenDeaths
TeenDeaths
A data frame with 11 observations on the following 2 variables.
a character vector
a numeric vector
Anderson, R.N. 2001. Deaths: Leading causes for 1999. National vital statistics reports 49(11):1-88. National Center for Health Statistics; Hyattsville, Maryland.
str(TeenDeaths) TeenDeaths barchart(deaths ~ cause, TeenDeaths, horizontal = FALSE, ylab = "Number of Deaths", xlab = "Cause of Death", origin=0, scales = list(x = list(rot=45))) barchart(deaths~ordered(cause, levels=cause), TeenDeaths, horizontal = FALSE, ylab = "Number of Deaths", xlab = "Cause of Death", origin=0, scales=list(x=list(rot=45)) )
str(TeenDeaths) TeenDeaths barchart(deaths ~ cause, TeenDeaths, horizontal = FALSE, ylab = "Number of Deaths", xlab = "Cause of Death", origin=0, scales = list(x = list(rot=45))) barchart(deaths~ordered(cause, levels=cause), TeenDeaths, horizontal = FALSE, ylab = "Number of Deaths", xlab = "Cause of Death", origin=0, scales=list(x=list(rot=45)) )
Telomere length (ratio) and years since their child's diagnosis with chronic illness.
Telomeres
Telomeres
A data frame with 39 observations on the following 2 variables.
a numeric vector
a numeric vector
Epel, E.S., E.H. Blackburn, J. Lin, F.S. Dhabhar, N.E. Adler, J.D. Morrow, and R.M. Cawthon. 2004. Accelerated telomere shortening in response to life stress. Proceedings of the National Academy of Sciences (USA) 101: 17312-17315.
http://www.pnas.org/content/101/49/17312
xyplot(years ~ telomere.length, Telomeres, xlab = "Time since diagnosis (years)", ylab = "Telomere length (ratio)" )
xyplot(years ~ telomere.length, Telomeres, xlab = "Time since diagnosis (years)", ylab = "Telomere length (ratio)" )
Hypoxanthine levels in the vitreous humour of the eye and time since death (hours) for 48 subjects.
TimeOfDeath
TimeOfDeath
A data frame with 48 observations on the following 2 variables.
a numeric vector
a numeric vector
James, R.A., P.A. Hoadley, and B.G. Sampson. 1997. Determination of postmortem interval by sampling vitreous humor. American Journal of Forensic Medicine and Pathology 18: 158-162.
xyplot(hypoxanthine ~ hours, TimeOfDeath, type=c('p','r'))
xyplot(hypoxanthine ~ hours, TimeOfDeath, type=c('p','r'))
Hypothetical probability of a toad being right-handed
Toads
Toads
A data frame with 19 observations on the following 2 variables.
a numeric vector
a numeric vector
Toads # generate this data manually cbind(0:18, dbinom(0:18, 18, 0.5)) xyplot(prob ~ n.toads, Toads, type = 'h', lwd = 4) barchart(prob ~ n.toads, Toads, origin=0, horizontal=FALSE) plotDist('binom', params = list(18,0.5), kind = 'hist')
Toads # generate this data manually cbind(0:18, dbinom(0:18, 18, 0.5)) xyplot(prob ~ n.toads, Toads, type = 'h', lwd = 4) barchart(prob ~ n.toads, Toads, origin=0, horizontal=FALSE) plotDist('binom', params = list(18,0.5), kind = 'hist')
Distribution of flow lengths in F1 and F2 populations of Nicotiana.
Tobacco
Tobacco
A data frame with 13 observations on the following 3 variables.
a numeric vector of flower length in mm
a numeric vector of the number of F1 plants with flower lengths in this size range
a numeric vector of the number of F2 plants with flower lengths in this size range
East, E.M. 1916. Studies on size inheritance in Nicotiana. Genetics 1: 164-176.
http://www.genetics.org/content/vol1/issue2/
http://en.wikipedia.org/wiki/Nicotiana
Tobacco
Tobacco
Distribution of flow lengths in F1 and F2 populations of Nicotiana.
Tobacco2
Tobacco2
A data frame with 617 observations on the following 2 variables.
a numeric vector
a factor with levels F1
F2
East, E.M. 1916. Studies on size inheritance in Nicotiana. Genetics 1: 164-176.
http://www.genetics.org/content/vol1/issue2/
http://en.wikipedia.org/wiki/Nicotiana
xtabs(~ flower.length + generation, Tobacco2) bwplot(flower.length ~ generation, Tobacco2)
xtabs(~ flower.length + generation, Tobacco2) bwplot(flower.length ~ generation, Tobacco2)
Actual birth year and birth year estimated from relative radioactivity of the enamel for 20 samples.
ToothAge
ToothAge
A data frame with 20 observations on the following 2 variables.
a numeric vector
a numeric vector
Spalding, K.L., B.A. Buchholz, L.-E. Bergman, H. Druid, and J. Frisén. 2005. Age written in teeth by nuclear tests. Nature 437: 333-334.
str(ToothAge) xyplot(actual ~ estimated, ToothAge)
str(ToothAge) xyplot(actual ~ estimated, ToothAge)
Fleck duration (min) and relative seedling growth rate (mm/mm/week) for 21 seedlings of Shorea leprosula.
TreeSeedlings
TreeSeedlings
A data frame with 21 observations on the following 2 variables.
a numeric vector
a numeric vector
Leakey, A.D.B., J.D. Scholes, and M.C. Press. 2005. Physiological and ecological significance of sunflecks for dipterocarp seedlings. Journal of Experimental Botany 56: 469-482.
http://jxb.oxfordjournals.org/cgi/content/short/56/411/469
str(TreeSeedlings) splom(TreeSeedlings)
str(TreeSeedlings) splom(TreeSeedlings)
Frequencies of killifish (Fundulus parvipinnis) eaten by birds depending on level of infection by the trematode Euhaplorchis californiensis.
Trematodes
Trematodes
A data frame with 141 observations on the following 2 variables.
a factor with levels:
high
, light
, and uninfected
a
factor with levels: no
and yes
Lafferty, K.D. and A.K. Morris. 1996. Altered behavior of parasitized killifish increases susceptibility to predation by bird final hosts. Ecology 77: 1390-1397.
demo(sec9.3)
demo(sec9.3)
Recruitment of Trillium and distance to nearest clearcut in eight populations in southwestern Oregon.
Trillium
Trillium
A data frame with 8 observations on the following 3 variables.
a numeric vector
a numeric vector
a numeric vector
Jules, E.S. and B.J. Rathcke. 1999. Mechanisms of reduced trillium recruitment along edges of old-growth forest fragments. Conservation Biology 13: 784-793
str(Trillium) splom(Trillium)
str(Trillium) splom(Trillium)
Number of truffles per plot for 288 plots in an old growth forest in northeastern California.
Truffles
Truffles
A data frame with 5 observations on the following 2 variables.
a numeric vector
a numeric vector
Waters, J.R., K.S. McKelvey, D.L. Luoam, and C.J. Zabel. 1997. Truffle production in old-growth and mature fir stands in northeastern California. Forest Ecology and Management 96: 155-166.
http://www.fs.fed.us/psw/publications/watersj/waters2.PDF
Truffles xyplot(count ~ truffles, Truffles, type='h', lwd=4) barchart(count ~ truffles, Truffles, origin=0, horizontal=FALSE)
Truffles xyplot(count ~ truffles, Truffles, type='h', lwd=4) barchart(count ~ truffles, Truffles, origin=0, horizontal=FALSE)
Dietary conditioning treatment
and subsequent proportion of tsetse
flies (Glossina palpalis) feeding on cow blood in each of 13 cohorts.
TsetseLearning
TsetseLearning
A data frame with 13 observations on the following 2 variables.
a factor with levels cow
and
lizard
a numeric vector
inferred from Bouyer, J., M. Pruvot, Z. Bengaly, P.M. Guerin, and R. Lancelot. 2007. Learning influences host choice in tsetse. Biology Letters 3: 113-116.
http://rsbl.royalsocietypublishing.org/content/3/2/113.full
xyplot(proportion.cow ~ treatment, TsetseLearning)
xyplot(proportion.cow ~ treatment, TsetseLearning)
The number of boys in a sample of 2,444 two-child families.
TwoKids
TwoKids
A data frame with 3 observations on the following 2 variables.
a numeric vector
a numeric vector
Rodgers, J.L. and D. Doughty. 2001. Does having boys or girls run in the family? Chance Magazine Fall 2001: 8-13.
http://www.dartmouth.edu/~chance/chance_news/recent_news/chance_news_10.11.html#item13
TwoKids observed <- TwoKids$count expected <- c(585.3, 1221.4, 637.3) chisq.test(observed, p = expected, rescale.p = TRUE) # Alternate calculation, using Pr[male] = 0.512 # and rbinom. See Figure 5.7-1 n <- sum(observed) pr.m <- 0.512 pr.f <- 0.488 # Calculate the probabilities of 0, 1, and 2 males (pr.0 <- pr.f^2) (pr.1 <- pr.m * pr.f + pr.f * pr.m) (pr.2 <- pr.m^2) set.seed(1) (expected2 <- c(rbinom(1, n, pr.0), rbinom(1, n, pr.1), rbinom(1, n, pr.2))) chisq.test(observed, p = expected2, rescale.p = TRUE)
TwoKids observed <- TwoKids$count expected <- c(585.3, 1221.4, 637.3) chisq.test(observed, p = expected, rescale.p = TRUE) # Alternate calculation, using Pr[male] = 0.512 # and rbinom. See Figure 5.7-1 n <- sum(observed) pr.m <- 0.512 pr.f <- 0.488 # Calculate the probabilities of 0, 1, and 2 males (pr.0 <- pr.f^2) (pr.1 <- pr.m * pr.f + pr.f * pr.m) (pr.2 <- pr.m^2) set.seed(1) (expected2 <- c(rbinom(1, n, pr.0), rbinom(1, n, pr.1), rbinom(1, n, pr.2))) chisq.test(observed, p = expected2, rescale.p = TRUE)
Numbers of cattle bitten by the cow's estrous cycle.
VampireBites
VampireBites
A data frame with 4 observations on the following 3 variables.
a factor with levels: no
and
yes
a factor with levels: no
and
yes
a numeric vector
Turner, D.C. 1975. The Vampire Bat: a Field Study in Behavior and Ecology. Johns Hopkins Press: Baltimore, MD.
demo(sec9.4)
demo(sec9.4)
Time spent with a female (percent
) in control and
vasopressin-enhanced groups (treatment
) of meadow voles
(Microtus pennsylvanicus).
VasopressinVoles
VasopressinVoles
A data frame with 31 observations on the following 2 variables.
a factor with levels control
and
enhanced
a numeric vector
inferred from Lim, M.M., Z. Wang, D.E. Olazabal, X. Ren, E.F. Terwilliger, and L.J. Young. 2004. Enhanced partner preference in a promiscuous species by manipulating the expression of a single gene. Nature 429: 754-757.
xyplot(percent ~ treatment, VasopressinVoles, type=c('p','a')) bwplot(percent ~ treatment, VasopressinVoles)
xyplot(percent ~ treatment, VasopressinVoles, type=c('p','a')) bwplot(percent ~ treatment, VasopressinVoles)
Number of climbing
and nonclimbing
species within closely
related general of plants.
Vines
Vines
A data frame with 48 observations on the following 2 variables.
a numeric vector
a numeric vector
Gianoli, E. 2004. Evolution of a climbing habit promotes diversification in flowering plants. Proceedings of the Royal Society of London, Series B, Biological Sciences 271: 2011-2015.
http://rspb.royalsocietypublishing.org/content/271/1552/2011.full.pdf
xyplot(nonclimbing ~ climbing, Vines, scales=list(log=TRUE))
xyplot(nonclimbing ~ climbing, Vines, scales=list(log=TRUE))
Home range size size in field voles (Microtus agrestis).
VoleDispersal
VoleDispersal
A data frame with 5 observations on the following 3 variables.
a numeric vector
a numeric vector
a factor with
levels female
and male
Sandell, M., J. Agrell, S. Erlinge, and J. Nelson. 1991. Adult philopatry and dispersal in the field vole Microtus agrestis. Oecologia 86: 153-158.
xtabs(count~sex+homeranges,VoleDispersal) barchart( xtabs(count~sex+homeranges,VoleDispersal), origin=0, auto.key=TRUE) barchart(count~sex+homeranges,VoleDispersal, origin=0) barchart(count~sex,groups=homeranges,VoleDispersal, origin=0) barchart(count~sex,groups=homeranges,VoleDispersal, origin=0,stack=TRUE)
xtabs(count~sex+homeranges,VoleDispersal) barchart( xtabs(count~sex+homeranges,VoleDispersal), origin=0, auto.key=TRUE) barchart(count~sex+homeranges,VoleDispersal, origin=0) barchart(count~sex,groups=homeranges,VoleDispersal, origin=0) barchart(count~sex,groups=homeranges,VoleDispersal, origin=0,stack=TRUE)
Two measures of femur length femur.length
for each of 25
walking sticks (Timema cristinae). Note that specimen
is not coded as a factor.
WalkingStickFemurs
WalkingStickFemurs
A data frame with 50 observations on the following 2 variables.
a integer denoting specimen number.
a numeric vector of femur length
Nosil, P. and B.J. Crespi. 2006. Experimental evidence that predation promotes divergence in adaptive radiation. Proceedings of the National Academy of Sciences (USA) 103: 9090-9095.
http://www.sfu.ca/biology/faculty/crespi/pdfs/96-Nosil&Crespi2006PNAS.pdf
demo(sec15.6)
demo(sec15.6)
Two measures of head width (head.width
) for each of 25 walking sticks
(Timema cristinae).
WalkingStickHeads
WalkingStickHeads
A data frame with 50 observations on the following 2 variables.
a factor with levels 1-25
a numeric vector
Nosil, P. and B.J. Crespi. 2006. Experimental evidence that predation promotes divergence in adaptive radiation. Proceedings of the National Academy of Sciences (USA) 103: 9090-9095.
http://www.sfu.ca/biology/faculty/crespi/pdfs/96-Nosil&Crespi2006PNAS.pdf
aggregate(head.width ~ specimen, data=WalkingStickHeads, mean) -> WS histogram(~ head.width, WS)
aggregate(head.width ~ specimen, data=WalkingStickHeads, mean) -> WS histogram(~ head.width, WS)
Comparison of oxygen consumption in feeding vs. non-feeding dives of the same length in the Weddell seal (Leptonychotes weddellii).
WeddellSeals
WeddellSeals
A data frame with 10 observations on the following 3 variables.
a numeric vector
a numeric vector
a numeric vector
Williams, T.M., L.A. Fuiman, M. Horning, and R.W. Davis. 2004. The cost of foraging by a marine predator, the Weddell seal Leptonychotes weddellii: pricing by the stroke. Journal of Experimental Biology 207: 973-982.
http://jeb.biologists.org/cgi/content/full/207/6/973
xyplot(oxygen.use.nonfeeding ~ oxygen.use.feeding, WeddellSeals)
xyplot(oxygen.use.nonfeeding ~ oxygen.use.feeding, WeddellSeals)
Number of times a presidential candidate said "will," "shall," or "going to" in presidential debates from 1960-2004 (years incomplete).
WillsDebates
WillsDebates
A data frame with 8 observations on the following 6 variables.
year of presidential debate(s)
winner of the popular vote (may not be winner of election)
loser of popular vote (may not be loser of election)
number of times will/shall used by winner during debates
number of times will/shall used by loser during debates
difference between number of times will/shall used by two candidates
WillsDebates
WillsDebates
Number of times a presidential candidate said "will," "shall," or "going to" in presidential debates from 1960-2004 (years incomplete).
WillsPresidents
WillsPresidents
A data frame with 16 observations on the following 3 variables.
a character vector with the candidate's name
a factor with levels n
y
indicating whether the candidate won the election y
or not.
a numeric vector
a numeric vector
a numeric vector
a numeric vector
WillsPresidents
WillsPresidents
Measurement (cm) of the distance between the canine and last molar teeth in 35 wolves.
WolfTeeth
WolfTeeth
A data frame with 35 observations of one variable.
distance from canine to last molar teach (cm)
Whitlock, M. 1996. The heritability of fluctuating asymmetry and the genetic control of developmental stability. Proceedings of the Royal Society, Series B 263: 849-853.
http://rspb.royalsocietypublishing.org/content/263/1372/849.abstract
histogram(~ length, WolfTeeth)
histogram(~ length, WolfTeeth)
Inbreeding coefficient and the number of pups produced in 24 mated pairs of wolves (Canis lupus) from 1983-2002.
Wolves
Wolves
A data frame with 24 observations on the following 2 variables.
a numeric vector
a numeric vector
Liberg, O.H., H. Andrén, H.-C. Pedersen, H. Sand, D. Sejberg, P. Wabakken, M. Åkesson, and S. Bensch. 2005. Severe inbreeding depression in a wild wolf (Canis lupus) population. Biology Letters 1: 17-20.
Wolves xyplot(inbreeding.coefficient ~ jitter(pups, amount=0.15), Wolves)
Wolves xyplot(inbreeding.coefficient ~ jitter(pups, amount=0.15), Wolves)
Number of goals per team during the 2002 World Cup.
WorldCup
WorldCup
A data frame with 7 observations on the following 2 variables.
a numeric vector
a numeric vector
xyplot(count ~ score, WorldCup, type='h', lwd=4) barchart(count ~ score, WorldCup, origin=0, horizontal=FALSE)
xyplot(count ~ score, WorldCup, type='h', lwd=4) barchart(count ~ score, WorldCup, origin=0, horizontal=FALSE)
Number and sex of adult wrasses in a section of the Great Barrier Reef.
WrasseSexes
WrasseSexes
A data frame with 3 observations on the following 3 variables.
a numeric vector
a numeric vector
a numeric vector
xtabs(count ~ males + females, WrasseSexes)
xtabs(count ~ males + females, WrasseSexes)
Number of genes regulated by 109 yeast regulatory genes.
YeastGenes
YeastGenes
A data frame with 6 observations on the following 2 variables.
a numeric vector
a numeric vector
Guelzim, N., S. Bottani, P. Bourgine and F. Képès. 2002. Topological and causal structure of the yeast transcriptional regulatory network. Nature Genetics 31: 60-63.
str(YeastGenes) barchart(count ~ genes.controlled , origin=0, YeastGenes, horizontal=FALSE)
str(YeastGenes) barchart(count ~ genes.controlled , origin=0, YeastGenes, horizontal=FALSE)
Percentage of time that a female spent next to a carotenoid-supplemented male Zebra Finch compared to his non-supplemented brother.
ZebraFinchBeaks
ZebraFinchBeaks
A numeric vector with 10 observations.
Blount, J.D., N.B. Metcalfe, T.R. Birkhead, P.F. Surai. 2003. Carotenoid modulation of immune function and sexual attractiveness in Zebra Finches. Science 300: 125-127.
http://www.sciencemag.org/cgi/content/abstract/300/5616/125
ZebraFinchBeaks
ZebraFinchBeaks
Data on cell-mediated immunocompetence (PHA
) and humoral immunity
(SRBC
) in Zebra Finches that received supplemental carotenoids
(CAROT
) and those that did not (NO
).
ZebraFinches
ZebraFinches
A data frame with 20 observations on the following 3 variables.
a factor with levels: CAROT
and
NO
a numeric vector
a numeric vector
McGraw, K.J. and D.R. Ardia. 2003. Carotenoids, immunocompetence, and the information content of sexual colors: an experimental test. The American Naturalist 162: 704-712.
ZebraFinches
ZebraFinches
Home range size () and captive infant mortality (
for 20 species of carnivores.
ZooMortality
ZooMortality
A data frame with 20 observations on the following 2 variables.
a numeric vector
a numeric vector
Clubb, R. and G. Mason. 2003. Captivity effects on wide ranging carnivores. Nature 425: 473-474.
str(ZooMortality)
str(ZooMortality)
Diversity of zooplankton (zooplankton
) prey in each of 5 replicate
blocks (block
) of three treatment levels (treatment
). By
default, block
is not coded as a factor.
Zooplankton
Zooplankton
A data frame with 15 observations on the following 3 variables.
a factor with levels control
,
high
, and low
a numeric vector
a numeric vector
inferred from Svanbäck, R. and D.I. Bolnick. 2007. Intraspecific competition drives increased resource use diversity within a natural population. Proceedings of the Royal Society of London Series B, Biological Sciences 274: 839-844.
Zooplankton Zooplankton$block <- factor(Zooplankton$block) str(Zooplankton) aov.fit <- aov(zooplankton ~ block + treatment, data = Zooplankton) summary(aov.fit)
Zooplankton Zooplankton$block <- factor(Zooplankton$block) str(Zooplankton) aov.fit <- aov(zooplankton ~ block + treatment, data = Zooplankton) summary(aov.fit)