categorical.test: Categorical Information

In KODAMA: Knowledge Discovery by Accuracy Maximization

Categorical Information

Description

Summarization of the categorical information.

Usage

categorical.test (name,x,y,total.column=FALSE,...)

Arguments

name	the name of the feature.
x	the information to summarize.
y	the classification of the cohort.
total.column	option to visualize the total (by default = "FALSE").
...	further arguments to be passed to the function.

Value

The function returns a table with the summarized information and The p-value computated using the Fisher's test.

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

correlation.test,continuous.test, txtsummary

Examples

data(clinical)

hosp=clinical[,"Hospital"]
gender=clinical[,"Gender"]
GS=clinical[,"Gleason score"]
BMI=clinical[,"BMI"]
age=clinical[,"Age"]

A=categorical.test("Gender",gender,hosp)
B=categorical.test("Gleason score",GS,hosp)

C=continuous.test("BMI",BMI,hosp,digits=2)
D=continuous.test("Age",age,hosp,digits=1)

rbind(A,B,C,D)

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