t_test.conf.summary: Confidence Functions for Means via Gaussian Models from...

In ddarmon/clp: R Package for Computing Confidence Functions to Accompany CLP

Description

Confidence functions for a single mean, the difference of means from matched observations, or the difference of means from independent samples.

Usage

t_test.conf.summary(mean, sd, n, plot = TRUE, conf.level = 0.95)

Arguments

mean	a (non-empty) numeric vector of data values.
sd	a (non-empty) numeric vector of data values.
n	a (non-empty) numeric vector of data values.
plot	a logical indicating whether you want the plots to be generated.
conf.level	the confidence level for the confidence interval indicated on the confidence curve

Value

A list containing the confidence functions pconf, dconf, cconf, and qconf for the mean or difference of means, as well as the P-curve and S-curve.

Examples

# One mean:

t_test.conf.summary(mean = 5, sd = 1, n = 20)

# Two means:

t_test.conf.summary(mean = c(3, 5), sd = c(1, 0.5), n = c(10, 12))

ddarmon/clp documentation built on Jan. 25, 2021, 6:22 p.m.