BootCoefVar: R6 Bootstrap Resampling for Coefficient of Variation

In MaaniBeigy/DescObs: Versatile Exploration of Data

Description

The R6 class BootCoefVar produces the bootstrap resamplimg for the coeficient of variation (cv) of the given numeric vectors. It uses boot and boot.ci from the package boot.

Arguments

x	An R object. Currently there are methods for numeric vectors
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.
alpha	The allowed type I error probability
R	integer indicating the number of bootstrap replicates.

References

Canty, A., & Ripley, B, 2017, boot: Bootstrap R (S-Plus) Functions. R package version 1.3-20.

Davison, AC., & Hinkley, DV., 1997, Bootstrap Methods and Their Applications. Cambridge University Press, Cambridge. ISBN 0-521-57391-2

Examples

x <- c(
    0.2, 0.5, 1.1, 1.4, 1.8, 2.3, 2.5, 2.7, 3.5, 4.4,
    4.6, 5.4, 5.4, 5.7, 5.8, 5.9, 6.0, 6.6, 7.1, 7.9
)
cv_x <- BootCoefVar$new(x)
cv_x$boot_cv()
cv_x$boot_cv_corr()
cv_x$boot_basic_ci_cv()
cv_x$boot_norm_ci_cv()
cv_x$boot_perc_ci_cv()
cv_x$boot_bca_ci_cv()
cv_x$boot_basic_ci_cv_corr()
cv_x$boot_norm_ci_cv_corr()
cv_x$boot_perc_ci_cv_corr()
cv_x$boot_bca_ci_cv_corr()
R6::is.R6(cv_x)

MaaniBeigy/DescObs documentation built on May 23, 2019, 9:37 a.m.