On this Picostat.com statistics page, you will find information about the progression data set which pertains to Progression of Record times for track races, 1912 - 2008. The progression data set is found in the DAAG R package. Try to load the progression data set in R by issuing the following command at the console data("progression"). This may load the data into a variable called progression. If R says the progression 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 with library("DAAG") followed by data("progression"). 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 progression 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 progression R data set. The size of this file is about 7,054 bytes.
Progression of Record times for track races, 1912 - 2008
Progression in world record times for track and road races.
A data frame with 227 observations on the following 4 columns.
Year that time was first recorded
distance in kilometers
time in minutes
character; descriptor for event (100m, mile, ...)
Record times for men's track events, from 1912 onwards. The
series starts with times that were recognized as record times in 1912,
Links to sources for the data are at
plot(log(Time) ~ log(Distance), data=progression)
xyplot(log(Time) ~ log(Distance), data=progression, type=c("p","r"))
xyplot(log(Time) ~ log(Distance), data=progression,
res <- resid(lm(log(Time) ~ log(Distance), data=progression))
plot(res ~ log(Distance), data=progression,
ylab="Residuals from regression line on log scales")
Dataset imported from https://www.r-project.org.