On this Picostat.com statistics page, you will find information about the motor data set which pertains to Data from a Simulated Motorcycle Accident. The motor data set is found in the boot R package. Try to load the motor data set in R by issuing the following command at the console data("motor"). This may load the data into a variable called motor. If R says the motor 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("motor"). 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 motor 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 motor R data set. The size of this file is about 1,494 bytes.
Data from a Simulated Motorcycle Accident
motor data frame has 94 rows and 4 columns. The rows are
obtained by removing replicate values of
time from the dataset
mcycle. Two extra columns are added to allow for strata with
a different residual variance in each stratum.
This data frame contains the following columns:
The time in milliseconds since impact.
The recorded head acceleration (in g).
A numeric column indicating to which of the three strata (numbered 1, 2 and 3)
the observations belong.
An estimate of the residual variance for the observation.
v is constant
within the strata but a different
estimate is used for each of the three strata.
The data were obtained from
Silverman, B.W. (1985) Some aspects of the spline smoothing approach to
non-parametric curve fitting.
Journal of the Royal Statistical Society, B, 47, 1–52.
Davison, A.C. and Hinkley, D.V. (1997)
Bootstrap Methods and Their Application. Cambridge University Press.
Venables, W.N. and Ripley, B.D. (1994)
Modern Applied Statistics with S-Plus. Springer-Verlag.
Dataset imported from https://www.r-project.org.