# pairwise_ks_test: Pairwise Kolmogorov-Smirnov Test In happyrabbit/DataScienceR: Data Science Using R

## Description

Perform Pairwise Multiple Comparisons Using Kolmogorov-Smirnov Test

## Usage

 ```1 2``` ```pairwise_ks_test(value, group, n_min = 50, warning = 0, alternative = "two.sided") ```

## Arguments

 `value` a numeric vector of data values `group` a group indicator `n_min` The minimum number of observations in each group. Group(s) with observation less than `n_min` will be removed. "`n_min=50`"(default) `warning` sets the handling of warning messages. If `warning` is negative all warnings are ignored. If `warning` is zero (the default) warnings are stored until the top–level function returns. If 10 or fewer warnings were signalled they will be printed otherwise a message saying how many were signalled. An object called last.warning is created and can be printed through the function warnings. If `warning` is one, warnings are printed as they occur. If warn is two or larger all warnings are turned into errors. `alternative` indicates the alternative hypothesis and must be one of "`two.sided`" (default), "`less`", or "`greater`". You can specify just the initial letter of the value, but the argument name must be give in full. See ‘Details’ for the meanings of the possible values.

## Details

Missing values are silently omitted from x and (in the two-sample case) y.

The possible values "`two.sided`", "`less`" and "`greater`" of alternative specify the null hypothesis that the true distribution function of x is equal to, not less than or not greater than the hypothesized distribution function (one-sample case) or the distribution function of y (two-sample case), respectively. This is a comparison of cumulative distribution functions, and the test statistic is the maximum difference in value, with the statistic in the "greater" alternative being D^+ = max[F_x(u) - F_y(u)]. Thus in the two-sample case alternative = "greater" includes distributions for which x is stochastically smaller than y (the CDF of x lies above and hence to the left of that for y), in contrast to `t.test` or `wilcox.test`.

## Value

Pairwise Kolmogorov-Smirnov Test p-value Matrix

## Author(s)

Hui Lin, longqiman@gmail.com

## Examples

 ```1 2 3 4 5 6 7``` ```## Not run: data("iris") value<-iris\$Sepal.Length group<-iris\$Species pairwise_ks_test(value,group,warning = -1) ## End(Not run) ```

happyrabbit/DataScienceR documentation built on May 17, 2019, 2:41 p.m.