R Dataset / Package DAAG / cricketer


On this Picostat.com statistics page, you will find information about the cricketer data set which pertains to Lifespans of UK 1st class cricketers born 1840-1960. The cricketer data set is found in the DAAG R package. You can load the cricketer data set in R by issuing the following command at the console data("cricketer"). This will load the data into a variable called cricketer. If R says the cricketer data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the cricketer R data set. The size of this file is about 189,301 bytes.

Lifespans of UK 1st class cricketers born 1840-1960


Year and birth, lifespan, etc, of British first class cricketers, born 1840-1960, whose handedness could be determined from information in the Who's who of cricketers. The status (alive=0, dead =1), and lifetime or lifespan, is for 1992.




A data frame with 5960 observations on the following 8 variables.


a factor with levels right left


numeric, year of birth


numeric, lifetime or lifespan to 1992


numeric (0 = alive (censored), 1 = dead, in 1992)


numeric (0 = not accidental or not dead, 1 = accidental death)


numeric (0 = not killed in action, 1 = killed in action)


numeric (0 = did not die in bed, 1 = died in bed)


a factor with levels alive acd (accidental death) inbed (died in bed)


Note that those 'killed in action' (mostly during World Wars I and II) form a subset of those who died by accident.


John Aggleton, Martin Bland. Data were collated as described in Aggleton et al.


Aggleton JP, Bland JM, Kentridge RW, Neave NJ 1994. Handedness and longevity: an archival study of cricketers. British Medical Journal 309, 1681-1684.

Bailey P, Thorne P, Wynne-Thomas P. 1993. Who's Who of Cricketers. 2nd ed, London, Hamlyn.

Bland M and Altman D. 2005. Do the left-handed die young? Significance 2, 166-170.

See Also



numLH <- xtabs(~ left+year, data=cricketer)
propLH <- prop.table(numLH, margin=2)[2,]
yr <- as.numeric(colnames(numLH))
plot(propLH ~ yr)
cricketer$lh <- unclass(cricketer$left)-1
left2.hat <- fitted(lm(lh ~ poly(year,2), data=cricketer))
ord <- order(cricketer$year)
lines(left2.hat[ord] ~ cricketer$year[ord])
ns3.hat <- fitted(lm(lh ~ ns(year,3), data=cricketer))
lines(ns3.hat[ord] ~ cricketer$year[ord], col="red")
summary(coxph(Surv(life, kia) ~ bs(year,3) +left, data=cricketer))
cricketer$notacdDead <- with(cricketer, {dead[acd==1]<-0; dead})
summary(coxph(Surv(life, notacdDead) ~ ns(year,2) +left, data=cricketer))

Dataset imported from https://www.r-project.org.

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Attachment Size
dataset-24669.csv 184.86 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0