On this Picostat.com statistics page, you will find information about the grav data set which pertains to Acceleration Due to Gravity. The grav data set is found in the boot R package. Try to load the grav data set in R by issuing the following command at the console data("grav"). This may load the data into a variable called grav. If R says the grav data set is not found, you can try installing the package by issuing this command install.packages("boot") and then attempt to reload the data with library("boot") followed by data("grav"). 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 grav 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 grav R data set. The size of this file is about 195 bytes.
Acceleration Due to Gravity
gravity data frame has 81 rows and 2 columns.
grav data set has 26 rows and 2 columns.
Between May 1934 and July 1935, the National Bureau of Standards in
Washington D.C. conducted a series of experiments to estimate the
acceleration due to gravity, g, at Washington. Each experiment
produced a number of replicate estimates of g using the same
methodology. Although the basic method remained the same for all
experiments, that of the reversible pendulum, there were changes in
gravity data frame contains the data from all eight
grav data frame contains the data from the
experiments 7 and 8. The data are expressed as deviations from 980.000
in centimetres per second squared.
This data frame contains the following columns:
The deviation of the estimate from 980.000 centimetres per second squared.
A factor describing from which experiment the estimate was derived.
The data were obtained from
Cressie, N. (1982) Playing safe with misweighted means.
Journal of the American Statistical Association, 77, 754–759.
Davison, A.C. and Hinkley, D.V. (1997)
Bootstrap Methods and Their Application. Cambridge University Press.
Dataset imported from https://www.r-project.org.