# 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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16``` ```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.