randboot function

Bootstrap simulations

Functions and classes to manage outputs of bootstrap simulations for one (class randboot) or several (class krandboot) statistics

as.krandboot(obs, boot, quantiles = c(0.025, 0.975), names =
colnames(boot), call = match.call())
## S3 method for class 'krandboot'
print(x, ...)
as.randboot(obs, boot, quantiles = c(0.025, 0.975), call = match.call())
## S3 method for class 'randboot'
print(x, ...)
randboot(object, ...)

Arguments

• obs: a value (class randboot) or a vector (class krandboot) with observed statistics
• boot: a vector (class randboot) or a matrix (class krandboot) with the bootstrap values of the statistics
• quantiles: a vector indicating the lower and upper quantiles to compute
• names: a vector of names for the statistics
• call: the matching call
• x: an object of class randboot or krandboot
• object: an object on which bootstrap should be perform
• ...: other arguments to be passed to methods

Returns

an object of class randboot or krandboot

References

Carpenter, J. and Bithell, J. (2000) Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians.Statistics in medicine, 19, 1141-1164

Author(s)

Stéphane Dray (stephane.dray@univ-lyon1.fr )

See Also

randboot.multiblock

Examples

## an example corresponding to 10 statistics and 100 repetitions
bt <- as.krandboot(obs = rnorm(10), boot = matrix(rnorm(1000), nrow = 100))
bt
if(adegraphicsLoaded())
plot(bt)