R, ggplot2, facetted histogram, decending order, factor x-axis labels -

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i have interesting problem need produce facetted histogram series want put in decending order each panel. below code replicates problem.

library(ggplot2) set.seed(1) ngroup  = 10; nsample = 10 df <- data.frame(group=rep(1:nsample,ngroup),                  category = factor(sample(letters,                                           ngroup*nsample,                                           replace=true),                                    levels=letters),                  amount   = runif(ngroup*nsample)) ggplot(df,aes(x=category,y=amount)) +    geom_bar(stat='identity') +   facet_wrap(~group,scales='free_x') +   labs(title="some random histogram facets")

which produces below output:

example

i have tried following:

library(ggplot2) set.seed(1) ngroup  = 10; nsample = 10 df <- data.frame(group=rep(1:nsample,ngroup),                  category = factor(sample(letters,                                           ngroup*nsample,                                           replace=true),                                    levels=letters),                  amount   = runif(ngroup*nsample)) ggplot(df,aes(x=reorder(category,-amount),y=amount)) +    geom_histogram(stat='identity') +   facet_wrap(~group,scales='free_x') +   labs(title="some random histogram facets")

which slight improvement (see below), no-where near should be.

example2

any suggestions appreciated? understand x-axis labels not correspond between panels, fine application.

update: fixing labels.

mamoun's answer did job, however, of interested in fixing x-axis labels remove interaction suffixes, can done (including other desired formatting options):

library(ggplot2) set.seed(1) ngroup  = 10; nsample = 10 df <- data.frame(group=factor(rep(1:nsample,ngroup)),                  category = factor(sample(letters,                                           ngroup*nsample,                                           replace=true),                                    levels=letters),                  amount   = runif(ngroup*nsample)) df <- ddply(df,c("group","category"),function(d){ data.frame(amount=sum(d$amount)) }) df$interaction = interaction(df$category,df$group) df$xlabel      = as.character(df$category)  ggplot(df,aes(x=reorder(interaction,-amount),y=amount,fill=amount)) +     geom_bar(stat='identity',color="black",width=1.0) +   scale_x_discrete(breaks=df$interaction,labels=df$xlabel) +    facet_wrap(~group,scales='free_x') +   theme_bw() + theme(legend.position=c(1,0),legend.justification=c(1,0)) +    theme(axis.text.x = element_text(angle = 90, hjust = 0.5, vjust=0.5, size=6)) +   scale_fill_gradient(low="blue",high="red") +    labs(title="some random histogram facets",x="category")

which produces following, desired:

example3

you can use reorder , interaction between groups , category this

ggplot(df,aes(x=reorder(interaction(category, group), -amount, sum),y=amount)) +    geom_bar(stat='identity') +   facet_wrap(~group,scales='free_x') +   labs(title="some random histogram facets")

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