Data for Exercise 2.77
Hodgkin
A data frame/tibble with 538 observations on two variables
a factor with levels LD
,
LP
, MC
, and NS
a factor with levels Positive
, Partial
, and None
I. Dunsmore, F. Daly, Statistical Methods, Unit 9, Categorical Data, Milton Keynes, The Open University, 18.
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
T1 <- xtabs(~type + response, data = Hodgkin)
T1
#> response
#> type None Partial Positive
#> LP 12 18 74
#> NS 12 16 68
#> MC 58 54 154
#> LD 44 10 18
barplot(t(T1), legend = TRUE, beside = TRUE)
if (FALSE) {
library(ggplot2)
ggplot2::ggplot(data = Hodgkin, aes(x = type, fill = response)) +
geom_bar(position = "dodge") +
theme_bw()
}