Snip of my data frame is
Basically i want to display barplot which is grouped by Country i.e i want to display no of people doing suicides for all of the country in clustered plot and similarly for accidents and Stabbing as well.I am using ggplot2 for this.I have no idea how to do this.
Any helps.
Thanks in advance
Edit to update for newer (2017) package versions
library(tidyr)
library(ggplot2)
dat.g <- gather(dat, type, value, -country)
ggplot(dat.g, aes(type, value)) +
geom_bar(aes(fill = country), stat = "identity", position = "dodge")
Original Answer
dat <- data.frame(country=c('USA','Brazil','Ghana','England','Australia'), Stabbing=c(15,10,9,6,7), Accidents=c(20,25,21,28,15), Suicide=c(3,10,7,8,6))
dat.m <- melt(dat, id.vars='country')
I guess this is the format you're after?
ggplot(dat.m, aes(variable, value)) +
geom_bar(aes(fill = country), position = "dodge")
library(reshape)library(ggplot2)
library(reshape2)
df <- data.frame(country=c('USA','Brazil','Ghana','England','Australia'), Stabbing=c(15,10,9,6,7), Accidents=c(20,25,21,28,15), Suicide=c(3,10,7,8,6))
mm <- melt(df, id.vars='country')
ggplot(mm, aes(x=country, y=value)) + geom_bar(stat='identity') + facet_grid(.~variable) + coord_flip() + labs(x='',y='')
