Dear All:
Re: Post-hoc pairwise Fisher’s exact tests with confidence Intervals
I am trying to conduct a Post-hoc pairwise comparison for comparing the
proportions of the ones in the 7 groups using the fisher exact test. I have
a data with 7 variables, data = (0,1). Event = 1.
*Q1.* Is there a way to have the confidence intervals of Pi-Pj in the R
output of the R function “*pairwise_fisher_test()*”. Also, R yields only
the p values of the first 10 pairs (Pi,Pj).
*Q2.* I used the summary of the raw data, please see below. Is there a way
to use the raw data instead, please see the attached file?
*Q3.* I got an error message when I tried to use the R function “
*fisher_test()*”
#### R codes
Data1 <- as.table(rbind(
c(24,9,28,37,18,10,28), # number of ones
c(65,80,61,52,71,79,61) # number of zeros
))
dimnames(Data1) <- list(
cases = c("yes", "no"),
vars = c("x1", "x2", "x3", "x4", "x5", "x6", "x7")
)
Data1
install.packages("rstatix")
library(rstatix)
fisher_test(Data1, detailed = TRUE)
##### pairwise fisher test: Compare the proportion of ones between groups
pairwise_fisher_test(Data1)
With many thanks
abou
______________________
*AbouEl-Makarim Aboueissa, PhD*
*Professor, Statistics and Data Science*
*Graduate Coordinator*
*Department of Mathematics and Statistics*
*University of Southern Maine*
X1 X2 X3 X4 X5 X6 X7
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0 0 1 1 0 0 0
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