np_mean_test: Non-parametric mean test

In eliobartos/misc: Miscellaneous functions

Description

Performs a non parametric mean test by bootstraping. Combines all values and samples vectors of length a_data, b_data. Then calculates differences in mean to get distribution of differences in mean. Then compares observed difference with that distribution.

Usage

np_mean_test(a_data, b_data, n_sim = 1000, plot = TRUE)

Arguments

a_data	Numeric vector of values from group a.
b_data	Numeric vector of values from group b.
n_sim	Number of times to sample groups and calcutale difference.
plot	(logical) Plot the distribution of differences in mean if TRUE.

Details

H0: No difference in mean

Value

returns a named list containing:

diff	All the mean differences.
observed	Observed mean difference.
n_sim	Number of simulations ran.
p_value	Two sided p-value for the test.

Author(s)

Elio Bartos

Examples

x = rnorm(300, mean = 5, sd = 1)
y = rnorm(200, mean = 4, sd = 1.5)

np_mean_test(x, y)

eliobartos/misc documentation built on Oct. 8, 2021, 1:10 a.m.