bootstrap: bootstrap

In aumath-advancedr2019/Sampling: The package provides functions for both permutation and bootstrapping.

Description

Tool to do a bootstrap on a dataset

Usage

bootstrap(observations, method = "mean", nboot = 10000)

Arguments

observations	the column of the dataframe with the observations
method	One of 3 options: "mean" (Defaul), "median" or "selfchoosenmethod". If "selfchoosenmethod" is used, the user has to define the parameter selfchosenmethod as a function that calculates the test-statistic, with the only input being column 2 from the data.
nboot	Number of iterations, Default(10000)

Details

Given a dataset where column 1 specifies the groups and column 2 specifies the observed values for each group, the function makes a bootstrap, the output is a plot of the sample distribut, including confidence interval, mean of obs and sd.

Value

list of class bootstrap

Examples

suppresMessages(bootstrap(PlantGrowth$weight, method="mean", nboot = 10000))

summary(bootstrap)

plot(bootstrap, bins = 30)

aumath-advancedr2019/Sampling documentation built on Nov. 26, 2019, 2:08 a.m.