motor: Data from a Simulated Motorcycle Accident

In boot: Bootstrap Functions (Originally by Angelo Canty for S)

Data from a Simulated Motorcycle Accident

Description

The 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.

Usage

motor

Format

This data frame contains the following columns:

times

The time in milliseconds since impact.

accel

The recorded head acceleration (in g).

strata

A numeric column indicating to which of the three strata (numbered 1, 2 and 3) the observations belong.

v

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.

Source

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.

References

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.

See Also

mcycle

boot documentation built on Sept. 11, 2024, 6:15 p.m.