KODAMA (version 2.4)

multi_analysis: Continuous Information

Description

Summarization of the continuous information.

Usage

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

Value

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.

Arguments

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 "continuous.test" and "correlation.test"

...

further arguments to be passed to or from methods.

Author

Stefano Cacciatore

References

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

See Also

categorical.test,continuous.test,correlation.test, txtsummary

Examples

data(clinical)


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