问题
Data:
type size amount
T 50% 48.4
F 50% 48.1
P 50% 46.8
T 100% 25.9
F 100% 26.0
P 100% 24.9
T 150% 21.1
F 150% 21.4
P 150% 20.1
T 200% 20.8
F 200% 21.5
P 200% 16.5
I need to plot a bargraph of the above data using ggplot (x-axis -> \"type\", y-axis -> \"amount\", group by \"size\"). When I used the following code, I am not getting the variable \"type\" and as well as \"size\" in the order shown in the data. Please see the figure. I have used the following code for that.
ggplot(temp, aes(type, amount , fill=type, group=type, shape=type, facets=size)) +
geom_bar(width=0.5, position = position_dodge(width=0.6)) +
facet_grid(.~size) +
theme_bw() +
scale_fill_manual(values = c(\"darkblue\",\"steelblue1\",\"steelblue4\"),
labels = c(\"T\", \"F\", \"P\"))
.
For fixing the order issue, I have used a factor method for the variable \"type\" using the following. Please see the figure also.
temp$new = factor(temp$type, levels=c(\"T\",\"F\",\"P\"), labels=c(\"T\",\"F\",\"P\"))
However, now I don\'t know how to fix the order for the variable \"size\". It should be 50%, 100%. 150%, and 200%.
回答1:
Make your size a factor in your dataframe by:
temp$size_f = factor(temp$size, levels=c('50%','100%','150%','200%'))
Then change the facet_grid(.~size)
to facet_grid(.~size_f)
Then plot:

The graphs are now in the correct order.
回答2:
Here's a solution that keeps things within a dplyr pipe chain. You sort the data in advance, and then using mutate_at to convert to a factor. I've modified the data slightly to show how this solution can be applied generally, given data that can be sensibly sorted:
# the data
temp <- data.frame(type=rep(c("T", "F", "P"), 4),
size=rep(c("50%", "100%", "200%", "150%"), each=3), # cannot sort this
size_num = rep(c(.5, 1, 2, 1.5), each=3), # can sort this
amount=c(48.4, 48.1, 46.8,
25.9, 26.0, 24.9,
20.8, 21.5, 16.5,
21.1, 21.4, 20.1))
temp %>%
arrange(size_num) %>% # sort
mutate_at(vars(size), funs(factor(., levels=unique(.)))) %>% # convert to factor
ggplot() +
geom_bar(aes(x = type, y=amount, fill=type),
position="dodge", stat="identity") +
facet_grid(~ size)
You can apply this solution to arrange the bars within facets, too, though you can only choose a single, preferred order:
temp %>%
arrange(size_num) %>%
mutate_at(vars(size), funs(factor(., levels=unique(.)))) %>%
arrange(desc(amount)) %>%
mutate_at(vars(type), funs(factor(., levels=unique(.)))) %>%
ggplot() +
geom_bar(aes(x = type, y=amount, fill=type),
position="dodge", stat="identity") +
facet_grid(~ size)
ggplot() +
geom_bar(aes(x = type, y=amount, fill=type),
position="dodge", stat="identity") +
facet_grid(~ size)
来源:https://stackoverflow.com/questions/14262497/fixing-the-order-of-facets-in-ggplot