perc {simpleboot} | R Documentation |
perc
can be used to extract percentiles from the sampling
distribution of a statistic.
perc(boot.out, p = c(0.025, 0.975)) perc.lm(lm.boot.obj, p)
boot.out |
Output from either one.boot , two.boot ,
or pairs.boot . |
p |
numeric vector with values in [0, 1]. |
lm.boot.obj |
An object of class "lm.simpleboot" ,
returned from lm.boot . |
perc
automatically calls perc.lm
if boot.out
is
of the class "lm.simpleboot"
so there is no need to use
perc.lm
separately.
For bootstraps which are not linear model bootstraps, perc
returns a vector of percentiles of length
length(p)
. Linear interpolation of percentiles is done if
necessary. perc.lm
returns a matrix of percentiles
of each of the model coefficients. For example, if there are k model
coefficients, the perc.lm
returns a length(p)
by k matrix.
Roger D. Peng
x <- rnorm(100) b <- one.boot(x, median, R = 1000) perc(b, c(.90, .95, .99))