KODAMA (version 1.6)

categorical_table: Categorical Information

Description

Summarization of the categorical information.

Usage

categorical_table (name,cat,label)

Arguments

name

the name of the feature.

cat

the information to summarize.

label

the classification of the cohort.

Value

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

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

continuous_table, txtsummary

Examples

# NOT RUN {
data(clinical)

A=categorical_table("Gender",clinical[,"Gender"],clinical[,"Hospital"])
B=categorical_table("Gleason score",clinical[,"Gleason score"],clinical[,"Hospital"])
C=categorical_table("Ethnicity",clinical[,"Ethnicity"],clinical[,"Hospital"])

D=continuous_table("BMI",clinical[,"BMI"],clinical[,"Hospital"],digits=2)
E=continuous_table("Age",clinical[,"Age"],clinical[,"Hospital"],digits=1)

rbind(A,B,C,D,E)

# }