R Dataset / Package psych / cubits
On this Picostat.com statistics page, you will find information about the cubits data set which pertains to Galton's example of the relationship between height and 'cubit' or forearm length. The cubits data set is found in the psych R package. Try to load the cubits data set in R by issuing the following command at the console data("cubits"). This may load the data into a variable called cubits. If R says the cubits data set is not found, you can try installing the package by issuing this command install.packages("psych") and then attempt to reload the data with library("psych") followed by data("cubits"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing cubits at the command-line which should display the entire dataset.
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 cubits R data set. The size of this file is about 222 bytes.
Galton's example of the relationship between height and 'cubit' or forearm length
Francis Galton introduced the 'co-relation' in 1888 with a paper discussing how to measure the relationship between two variables. His primary example was the relationship between height and forearm length. The data table (cubits) is taken from Galton (1888). Unfortunately, there seem to be some errors in the original data table in that the marginal totals do not match the table.
The data frame,
A data frame with 9 observations on the following 8 variables.
Sir Francis Galton (1888) published the first demonstration of the correlation coefficient. The regression (or reversion to mediocrity) of the height to the length of the left forearm (a cubit) was found to .8. There seem to be some errors in the table as published in that the row sums do not agree with the actual row sums. These data are used to create a matrix using
Galton, Francis (1888) Co-relations and their measurement. Proceedings of the Royal Society. London Series,45,135-145,
data(cubits) cubits heights <- table2df(cubits,labs = c("height","cubit")) ellipses(heights,n=1,main="Galton's co-relation data set") ellipses(jitter(heights$height,3),jitter(heights$cubit,3),pch=".", main="Galton's co-relation data set",xlab="height", ylab="Forearm (cubit)") #add in some noise to see the points pairs.panels(heights,jiggle=TRUE,main="Galton's cubits data set")
Dataset imported from https://www.r-project.org.
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