R Dataset / Package DAAG / possum
Attachment  Size 

dataset24907.csv  6.25 KB 
Documentation 

On this Picostat.com statistics page, you will find information about the possum data set which pertains to Possum Measurements. The possum data set is found in the DAAG R package. You can load the possum data set in R by issuing the following command at the console data("possum"). This will load the data into a variable called possum. If R says the possum 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 possum R data set. The size of this file is about 6,399 bytes. Possum MeasurementsDescriptionThe Usagepossum FormatThis data frame contains the following columns:
SourceLindenmayer, D. B., Viggers, K. L., Cunningham, R. B., and Donnelly, C. F. 1995. Morphological variation among columns of the mountain brushtail possum, Trichosurus caninus Ogilby (Phalangeridae: Marsupiala). Australian Journal of Zoology 43: 449458. Examplesboxplot(earconch~sex, data=possum) pause()sex < as.integer(possum$sex) oldpar < par(oma=c(2,4,5,4)) pairs(possum[, c(9:11)], pch=c(0,2:7), col=c("red","blue"), labels=c("tail\nlength","foot\nlength","ear conch\nlength")) chh < par()$cxy[2]; xleg < 0.05; yleg < 1.04 oldpar < par(xpd=TRUE) legend(xleg, yleg, c("Cambarville", "Bellbird", "Whian Whian ", "Byrangery", "Conondale ","Allyn River", "Bulburin"), pch=c(0,2:7), x.intersp=1, y.intersp=0.75, cex=0.8, xjust=0, bty="n", ncol=4) text(x=0.2, y=yleg  2.25*chh, "female", col="red", cex=0.8, bty="n") text(x=0.75, y=yleg  2.25*chh, "male", col="blue", cex=0.8, bty="n") par(oldpar) pause()sapply(possum[,6:14], function(x)max(x,na.rm=TRUE)/min(x,na.rm=TRUE)) pause()here < na.omit(possum$footlgth) possum.prc < princomp(possum[here, 6:14]) pause()plot(possum.prc$scores[,1] ~ possum.prc$scores[,2], col=c("red","blue")[as.numeric(possum$sex[here])], pch=c(0,2:7)[possum$site[here]], xlab = "PC1", ylab = "PC2") # NB: We have abbreviated the axis titles chh < par()$cxy[2]; xleg < 15; yleg < 20.5 oldpar < par(xpd=TRUE) legend(xleg, yleg, c("Cambarville", "Bellbird", "Whian Whian ", "Byrangery", "Conondale ","Allyn River", "Bulburin"), pch=c(0,2:7), x.intersp=1, y.intersp=0.75, cex=0.8, xjust=0, bty="n", ncol=4) text(x=9, y=yleg  2.25*chh, "female", col="red", cex=0.8, bty="n") summary(possum.prc, loadings=TRUE, digits=2) par(oldpar) pause()require(MASS) here < !is.na(possum$footlgth) possum.lda < lda(site ~ hdlngth+skullw+totlngth+ taill+footlgth+ earconch+eye+chest+belly, data=possum, subset=here) options(digits=4) possum.lda$svd # Examine the singular values plot(possum.lda, dimen=3) # Scatterplot matrix  scores on 1st 3 canonical variates (Figure 11.4) possum.lda  Dataset imported from https://www.rproject.org. 
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Picostat Output  Simple Linear Regression  Apr 9, 2020 
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