# R Dataset / Package HistData / Arbuthnot

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On this R-data statistics page, you will find information about the Arbuthnot data set which pertains to Arbuthnot's data on male and female birth ratios in London from 1629-1710.. The Arbuthnot data set is found in the HistData R package. You can load the Arbuthnot data set in R by issuing the following command at the console data("Arbuthnot"). This will load the data into a variable called Arbuthnot. If R says the Arbuthnot data set is not found, you can try installing the package by issuing this command install.packages("HistData") 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 Arbuthnot R data set. The size of this file is about 3,590 bytes. ## Arbuthnot's data on male and female birth ratios in London from 1629-1710.## DescriptionJohn Arbuthnot (1710) used these time series data on the ratios of male to female births in London from 1629-1710 to carry out the first known significance test, comparing observed data to a null hypothesis. The data for these 81 years showed that in every year there were more male than female christenings. On the assumption that male and female births were equally likely, he showed that the probability of observing 82 years with more males than females was vanishingly small ( ## Usagedata(Arbuthnot) ## FormatA data frame with 82 observations on the following 7 variables. `Year` -
a numeric vector, 1629-1710 `Males` -
a numeric vector, number of male christenings `Females` -
a numeric vector, number of female christenings `Plague` -
a numeric vector, number of deaths from plague `Mortality` -
a numeric vector, total mortality `Ratio` -
a numeric vector, ratio of Males/Females `Total` -
a numeric vector, total christenings in London (000s)
## DetailsSandy Zabell (1976) pointed out several errors and inconsistencies in the Arbuthnot data. In particular, the values for 1674 and 1704 are identical, suggesting that the latter were copied erroneously from the former. ## SourceArbuthnot, John (1710). "An argument for Devine Providence, taken from the constant Regularity observ'd in the Births of both Sexes," ## ReferencesCampbell, R. B., Arbuthnot and the Human Sex Ratio (2001). Creighton, C. (1965). A History of Epidemics in Britain, 2nd edition, vol. 1 and 2. NY: Barnes and Noble. S. Zabell (1976). Arbuthnot, Heberden, and the ## Examplesdata(Arbuthnot) # plot the sex ratios with(Arbuthnot, plot(Year,Ratio, type='b', ylim=c(1, 1.20), ylab="Sex Ratio (M/F)")) abline(h=1, col="red") # add loess smooth Arb.smooth <- with(Arbuthnot, loess.smooth(Year,Ratio)) lines(Arb.smooth$x, Arb.smooth$y, col="blue", lwd=2)# plot the total christenings to observe the anomalie in 1704 with(Arbuthnot, plot(Year,Total, type='b', ylab="Total Christenings")) -- Dataset imported from https://www.r-project.org. |

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dataset-44415.csv | 3.51 KB |