auto.chisq: autometic selection, execution and visualization of Chi...

In THChan11/autotest: Automatic inferential tests

autometic selection, execution and visualization of Chi square test or Kruskal- Wallis test

Description

Autometically select and percform a Pearson's Chi-square test or a Fisher's Exact test

Usage

auto.chisq(x, y)

Arguments

x	a categorical vector or a contingency table data frame
y	an optional categorical vector

Details

test selection is dependent on expected value, if more than 80 percent of cells exceeds the expected value of 5, chi square test is used

Value

The expected value, observed value and test result will be returned

Author(s)

Tsz Hong Chan

Examples

##Borrowing tests from Rbase chisq.test

##Chi square test with contingency table dataframe
## From Agresti(2007) p.39
M <- as.table(rbind(c(762, 327, 468), c(484, 239, 477)))
dimnames(M) <- list(gender = c("F", "M"),
                    party = c("Democrat","Independent", "Republican"))
auto.chisq(M)

##test with two categorical vectors
iris$PetalWidthCategory<-ifelse(iris$Petal.Width>mean(iris$Petal.Width),"long","short")

auto.chisq(iris$Species,iris$PetalWidthCategory)

##For contingency table with less than more than 20 percent of cells ##that has less than an expected value of 5

cow<-matrix(c(15,6,7,322),nr=2,)
auto.chisq(cow)

THChan11/autotest documentation built on June 11, 2025, 12:46 a.m.