ggplot2 - Creating stacked barplots in R using different variables -

i novice r user, hence question. refer solution on creating stacked barplots r programming: creating stacked bar graph, variable colors each stacked bar.

my issue different. have 4 column data. last column summed total of first 3 column. want plot bar charts following information 1) summed total value (ie 4th column), 2) each bar split relative contributions of each of 3 column.

i hoping help.

regards, bernard

if understood rightly, may trick

the following code works example df dataframe

df <-    b    c   sum        1    9   8   18        3    6   2   11        1    5   4   10       23    4   5   32        5    12  3   20        2    24  1   27        1    2   4   7 

as don't want plot counter of variables, actual value in dataframe, need use goem_bar(stat="identity") method on ggplot2. data manipulation necessary too. , don't need sum column, ggplot sum you.

df <- df[,-ncol(df)]            #drop last column (assumed sum one) df$event <- seq.int(nrow(df))   #create column indicate values happaned on same column each variable df <- melt(df, id='event')      #reshape dataframe make readable gpglot  px = ggplot(df, aes(x = event, y = value, fill = variable)) + geom_bar(stat = "identity") print (px) 

this code generates plot bellow