paired_test_continuous {depigner} R Documentation

## Paired test for continuous variables

### Description

Statistical tests for paired continuous variable.

### Usage

paired_test_continuous(group, x)


### Arguments

 group (fct) vector of groups x (num) vector of observations. Note: length of 'x' is considered equal to the number of subjects by the number of groups. Observation must be provided by subject (e.g. c(a1, b1, c1, a2, b2, c2, a3, b3, c3, a4, b4, c4), where the letters, a, b, c, and d represents the groups and the numbers represents the patients' ids). Note only patient with observation in all the levels considered will be used.

### Details

If the test is requested for two paired groups, the t.test is used.

If the test is requested for more than two groups, the test based on ANOVA for repeated measures is used (powered by aov)

### Value

A list with components 'P' (the computed P-value), 'stat' (the test statistic, either t or F), 'df' (degrees of freedom), 'testname' (test name), 'statname' (statistic name), 'namefun' ("paired_tstat", "rep_aov"), 'latexstat' (LaTeX representation of statname), 'plotmathstat' (for R - the plotmath representation of 'statname', as a character string), 'note' (contains a character string note about the test).

### Note

This function could be used as 'conTest' option in the summary.formula with method 'reverse'.

### Examples


library(Hmisc)

## two groups
summary(Species ~ .,
data = iris[iris[["Species"]] != "setosa", ],
method = "reverse",
test = TRUE,
conTest = paired_test_continuous
)

## more than two groups
summary(Species ~ .,
data = iris,
method = "reverse",
test = TRUE,
conTest = paired_test_continuous
)

## without Hmisc
two_obs <- iris[["Sepal.Length"]][iris[["Species"]] != "setosa"]
two_groups <- iris[["Species"]][iris[["Species"]] != "setosa"]
paired_test_continuous(two_groups, two_obs)

obs <- iris[["Sepal.Length"]]
many_groups <- iris[["Species"]]
paired_test_continuous(many_groups, obs)



[Package depigner version 0.8.4 Index]