I have three dataframes that I can not really rbind or cbind. They share the column ´Pop.Name´, where population names are stored. Population names are common among the three dfs.
I'm trying to use ggplot2 to count (stat="bin") the number of cases of each population in each dataframe, and to plot it so that I have a different bar for each df and every population. Basically I want to compare side to side the count data of each population as is the dfs where treatments in a single df and I were using geom_bar(position="dodge").
To plot one of the df alone I'm using:
plt<- ggplot(df1, aes(x=Pop.Name)) + theme_bw() # plot by pop
plt<- plt + geom_bar()
How can I add the other two dfs to the same plot? I'm sure it is very simple and I'm missing something, but can't figure out what. I tried:
plot1 <- ggplot(df1, aes(x=Pop.Name)) +
geom_bar() +
geom_bar(data = df2)
And many others, but I either get errors or only one bar per popupation. I'm terribly sorry if this is a duplicate, but I think it isn't. However, my question is very similar to this: ggplot stacked bar plot from 2 separate data frames, but I can not rbind or cbind the dataframes (at least not in a straight forwards way and each one is huge).
Thanks
Some toy data:
df1<-structure(list(Pop.Name = c(1, 2, 3, 4, 3, 2, 1, 2, 3, 4), Loc = structure(c(1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 3L), .Label = c("a", "c", "d" ), class = "factor"), BP = c(10, 10, 10, 10, 50, 21, 33, 8, 8, 8)), .Names = c("Pop.Name", "Loc", "BP"), row.names = c(NA, -10L), class = "data.frame")
df2<-structure(list(Pop.Name = c(3, 2, 3, 4, 3, 2, 1), A = structure(c(1L, 1L, 1L, 1L, 1L, 2L, 3L), .Label = c("x", "y", "z" ), class = "factor"), C = c(11, 11, 11, 10, 50, 21, 3)), .Names = c("Pop.Name", "A", "C"), row.names = c(NA, -7L), class = "data.frame")
