How can I make this histogram in ggplot/R?
Crimea
Please find My data qbelow .
I have two covariates: q$Studieand q$best.respcorresponding to each of the five different studies reporting the best response after a certain treatment.
q$best.respThere are three levels
table(q$best.resp)
0 1 2
62 42 2
I would like to generate a histogram representing each q$best.respof all q$Studieand all study combinations (corresponding to table(q$best.resp))
I've drawn this example of how I want the plot to look. Unfortunately, I didn't have success with the manual.
I prefer the solution in ggplot2. Note that all studies contain only q$best.resp==0or q$best.resp==1-, but both cases aloneq$Studie==5q$best.resp==2
My data
q <- structure(list(Studie = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L), best.resp = c(0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L,
1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L,
1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 2L, 0L, 2L)), .Names = c("Studie",
"best.resp"), class = "data.frame", row.names = c(NA, -106L))
Roman
You can trytidyverse
library(tidyverse)
q %>%
as_tibble() %>%
mutate(Studie=as.character(Studie),
best.resp =as.factor(best.resp)) %>%
bind_rows(., mutate(., Studie="all")) %>%
count(Studie, best.resp) %>%
ggplot(aes(Studie, n, fill= best.resp)) +
geom_col(position = position_dodge2(preserve = "single"))
