Description Usage Arguments Details Value Author(s) Examples

Perform Pairwise Multiple Comparisons Using Kolmogorov-Smirnov Test

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

`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 |

`warning` |
sets the handling of warning messages. If |

`alternative` |
indicates the alternative hypothesis and must be one of " |

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`

.

Pairwise Kolmogorov-Smirnov Test p-value Matrix

Hui Lin, longqiman@gmail.com

1 2 3 4 5 6 7 |

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