wilcox.test: Wilcox Test.

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

An S3 class to represent wilcox signed Rank test Performs one- and two-sample Wilcoxon tests on vectors of data; the latter is also known as Mann-Whitney test. If only x is given, or if both x and y are given and paired is TRUE, a Wilcoxon signed rank test of the null that the distribution of x (in the one sample case) or of x - y (in the paired two sample case) is symmetric about mu is performed. Otherwise, if both x and y are given and paired is FALSE, a Wilcoxon rank sum test (equivalent to the Mann-Whitney test: see the Note) is carried out. In this case, the null hypothesis is that the distributions of x and y differ by a location shift of mu and the alternative is that they differ by some other location shift (and the one-sided alternative "greater" is that x is shifted to the right of y).

Usage

wilcox.test(x, ...)

Arguments

x	FLvector of data values. Non-finite (e.g., infinite or missing) values will be omitted.
y	an optional FLVector of data values: as with x non-finite values will be omitted.
paired	a logical indicating whether you want a paired test.

Value

A list with class "htest".

Constraints

conf.level, conf.int is not supported currently for FL objects.

See Also

wilcox.test for R reference implementation.

Examples

Wilcoxon Signed Rank test:
a <- as.FLVector(c(85,70,40,65,80,75,55,20))
b <- as.FLVector(c(75,50,50,40,20,65,40,25))
res <- wilcox.test(a, b, paired = TRUE)

Mann-Whitney test:
a <- as.FLVector(c(6, 8, 2, 4, 4, 5))
b <- as.FLVector(c(7, 10, 4, 3, 5, 6))
res <- wilcox.test(a, b, paired = FALSE)

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.