chisq.plot: Plot Expected and Observed Frequencies (Chi Square)

In dustinfife/fifer: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis

Description

This function will plot the expected vs. observed frequencies from a Chi Square Test and plot them in Barplots.

Usage

chisq.plot(list = NULL, v1 = NULL, v2 = NULL, standardize = F, sqrt.y = F)

Arguments

list	A table containing the variables. If not included, user can include raw data as v1 or v2
v1	The first variable (must be a factor)
v2	The second variable (also must be a factor)
standardize	Logical. Should the results be reported in proportions? (Rather than counts)

Author(s)

Dustin Fife

References

Agresti, A. (2007) An Introduction to Categorical Data Analysis, 2nd ed., New York: John Wiley & Sons. Page 38.

See Also

barchart

Examples

##' 
# 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"))
chisq.plot(list=M, standardize=F)              

dustinfife/fifer documentation built on Oct. 31, 2020, 3:36 p.m.