Dear list,
I have very little experience in dealing with proportions, i am sure this is a
very simple question but i could find no suitable answer beyond doing a chi-sq
test and then using the Marascuilo procedure as a post-hoc analysis.
I am simply wanting to know if the proportions ( i.e the number of Yes / No)
significantly differ between the cases and if so which cases are significantly
high or low?
proportion <- structure(list(Case = structure(1:11, .Label = c("A", "B", "C",
"D", "E", "F", "G", "H", "I", "J", "K"), class = "factor"), Yes = c(18L,
2L, 1L, 2L, 44L, 27L, 2L, 15L, 13L, 3L, 34L), No = c(171L, 11L,
5L, 8L, 146L, 80L, 5L, 30L, 22L, 5L, 42L), Num = c(189L, 13L,
6L, 10L, 190L, 107L, 7L, 45L, 35L, 8L, 76L)), .Names = c("Case",
"Yes", "No", "Num"), class = "data.frame", row.names = c(NA,
-11L))
Thanks in advance Sam
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