multi_analysis | R Documentation |

Summarization of the continuous information.

multi_analysis (data, y, FUN=c("continuous.test","correlation.test"), ...)

`data` |
the matrix containing the continuous values. Each row corresponds to a different sample. Each column corresponds to a different variable. |

`y` |
the classification of the cohort. |

`FUN` |
function to be considered. Choices are " |

`...` |
further arguments to be passed to or from methods. |

The function returns a table with the summarized information. If the number of group is equal to two, the p-value is computed using the Wilcoxon rank-sum test, Kruskal-Wallis test otherwise.

Stefano Cacciatore

Cacciatore S, Luchinat C, Tenori L

Knowledge discovery by accuracy maximization.

*Proc Natl Acad Sci U S A* 2014;111(14):5117-22. doi: 10.1073/pnas.1220873111. Link

Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA

KODAMA: an updated R package for knowledge discovery and data mining.

*Bioinformatics* 2017;33(4):621-623. doi: 10.1093/bioinformatics/btw705. Link

`categorical.test`

,`continuous.test`

,`correlation.test`

, `txtsummary`

data(clinical) multi_analysis(clinical[,c("BMI","Age")],clinical[,"Hospital"],FUN="continuous.test")

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.