td.wilcoxon: Wilcoxon Test

In nonsleepr/teradataR: Teradata R Package

Description

The Wilcoxon Signed Ranks Test is an alternative analogous to the t-test for correlated samples.

Usage

td.wilcoxon(tdf, col1, col2, thresh = 0.05)

Arguments

tdf	td data frame.
col1	first column to test.
col2	second column to test.
thresh	threshold. Default value is 0.05

Details

Given a td data frame and names of paired numeric columns, a Wilcoxon test is produced. The Wilcoxon tests whether a sample comes from a population with a specific mean or median. The null hypothesis is that the samples come from populations with the same mean or median. The alternative hypothesis is that the samples come from populations with different means or medians (two-tailed test), or that in addition the difference is in a specific direction (upper-tailed or lower-tailed tests). Output is a p-value, which when compared to the users threshold, determines whether the null hypothesis should be rejected.

Value

Single row data frame with the Wilcoxon test results

Examples

## Not run: 
td.wilcoxon(tdf, "income", "age")

## End(Not run)

nonsleepr/teradataR documentation built on May 23, 2019, 9:32 p.m.