View source: R/other_corr_tests.R

delaneau.test | R Documentation |

Score impact of each sample on correlation sturucture and then peform test of association with variable using Kruskal-Wallis test

```
delaneau.test(Y, variable, method = c("pearson", "kendall", "spearman"))
```

`Y` |
data matrix with samples on rows and variables on columns |

`variable` |
variable with number of entries must equal nrow(Y). Can be discrete or continuous. |

`method` |
specify which correlation method: "pearson", "kendall" or "spearman" |

The statistical test used depends on the variable specified. if variable is factor with multiple levels, use Kruskal-Wallis test if variable is factor with 2 levels, use Wilcoxon test if variable is continuous, use Wilcoxon test

list of p-value, estimate and method used

delaneau.score sle.test

```
# load iris data
data(iris)
# variable is factor with multiple levels
# use kruskal.test
delaneau.test( iris[,1:4], iris[,5] )
# variable is factor with 2 levels
# use wilcox.test
delaneau.test( iris[1:100,1:4], iris[1:100,5] )
# variable is continuous
# use cor.test with spearman
delaneau.test( iris[,1:4], iris[,1] )
```

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