Мне нужен этот график, чтобы отображать бары в другом порядке.
Стол "pretest" должен быть первым. Ничего не происходит, кроме меняющихся этикеток. Был бы очень признателен за помощь!
Это исследование имеет смысл, только если таблица в правильном порядке.
Я использовал этот код, пытаясь изменить порядок.
plot_data2 <- main_data %>%
dplyr::select(training_type,
pretest_result,
C1_reps,
C2_reps,
P1_reps,
P2_reps) %>%
drop_na(pretest_result) %>%
gather(test, reps, pretest_result, C1_reps, C2_reps, P1_reps, P2_reps) %>%
group_by(test, training_type) %>%
summarise(
mean = mean(reps),
lci = t.test(reps)$conf.int[[1]],
uci = t.test(reps)$conf.int[[2]]
) %>%
ungroup() %>%
mutate(test = factor(
test,
levels = c("pretest_result", "C1_reps", "C2_reps", "P1_reps", "P2_reps")
))
Это мой код для сюжета.
ggplot(plot_data2, aes(x=test, y = mean, fill = training_type)) +
geom_bar(stat="identity", position=position_dodge()) +
geom_errorbar(aes(ymin=lci, ymax=uci),
width=.2,
position=position_dodge(.9)) +
scale_y_continuous(breaks = c(5,1,2,3,4)) +
scale_x_discrete(labels = c("Pretest", "C1", "C2", "P1", "P2")) +
labs(x = "Test type", y = "Average repitions", fill = "Training type") +
theme_bw()
Это мои данные
main_data <- structure(
list(
Horse = c("Skori", "Raudhetta", "Emma", "Freyr",
"Nick", "Hilda", "Aleiga", "Sinfonia", "Saga", "Fengur", "Herkules",
"Rumur", "Gaia", "Frøya", "Fanta", "Lindus", "Betty", "Sjamina",
"Dimma", "Astrix", "Presley", "Odin", "Poineten", "Gåte", "Skori",
"Raudhetta", "Emma", "Freyr", "Nick", "Hilda", "Aleiga", "Sinfonia",
"Saga", "Fengur", "Herkules", "Rumur", "Gaia", "Frøya", "Fanta",
"Lindus", "Betty", "Sjamina", "Dimma", "Astrix", "Presley", "Odin",
"Poineten", "Gåte"),
C1_reps = c(5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 5, 5, 5, 5, 6,
4, 5, 6, 6, 4, 5, 5, 5, 4, 5, 5, 4, 5, 6, 6, 5, 5, 5, 5, 6, 5,
4, 4, 5, 4, 5),
C2_reps = c(5, 6, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 6, 6, 5, 6, 5, 6, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 6, 5, 5, 6, 6, 6, 4, 5),
Compliance = c(3,
4, 4, 3, 3, 2, 1, 4, 4, 4, 3, 4, 1, 4, 1, 3, 3, 4, 4, 4, 3, 4,
1, 3, 4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 3, 4, 3, 4, 3, 4, 3, 4,
4, 4, 3, 4, 3),
P1_reps = c(5, 5, 4, 5, 5, 4, 3, 4, 6, 7, 7,
0, 4, 6, 3, 6, 7, 0, 7, 4, 4, 3, 6, 5, 1, 0, 1, 0, 1, 1, 0, 2,
1, 0, 0, 0, 1, 2, 1, 3, 0, 0, 0, 1, 1, 2, 2, 1),
P2_reps = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 6, 6, 2, 6, 7, 4,
6, 5, 6, 4, 4, 6, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, 0, 1, 1, 1, 0, 0, 0, 0, 0, 2, 1, 0),
Test.group = c(1, 1,
1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3),
training_type = c("PC", "PC", "PC", "PC", "PC",
"PC", "PC", "PC", "PC", "PC", "PC", "PC", "PC", "PC", "PC", "PC",
"PC", "PC", "PC", "PC", "PC", "PC", "PC", "PC", "TT", "TT", "TT",
"TT", "TT", "TT", "TT", "TT", "TT", "TT", "TT", "TT", "TT", "TT",
"TT", "TT", "TT", "TT", "TT", "TT", "TT", "TT", "TT", "TT"),
pretest_result = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, 3, 6, 2, 4, 0, 0, 3, 5, 4, 2, 9, 0, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, 6, 4, 2, 2, 1, 0, 5, 4, 6,
6, 16, 0)
), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA,
-48L))