correlation.test: Continuous Information

In KODAMA: Knowledge Discovery by Accuracy Maximization

Continuous Information

Description

Summarization of the continuous information.

Usage

correlation.test (x,
                  y,
                  method = c("pearson", "spearman","MINE"), 
                  name=NA, 
                  perm=100, ...)

Arguments

x	a numeric vector.
y	a numeric vector.
method	a character string indicating which correlation method is to be computed. "pearson" (default), "spearman", or "MINE".
name	the name of the feature.
perm	number of permutation needed to estimate the p-value with MINE correlation.
...	further arguments to be passed to or from methods.

Value

The function returns a table with the summarized information.

Author(s)

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, txtsummary

Examples

data(clinical)

correlation.test(clinical[,"Age"],clinical[,"BMI"],name="correlation between Age and BMI")

KODAMA documentation built on Jan. 12, 2023, 5:08 p.m.