r - Create a barplot of two tables of differing length -


i can not seem figure out how nice barplot contains data 2 tables contain different number of columns.

the tables in question (snipped data end):

> tab1    1    2    3    6    8   31 5872 1525  831  521  299    4  > tab2    1    2    3    4   22 7874  422    2    5    1

note column names , sizes different. when barplot() on 1 of these tables comes out plot i'd (showing column names x-axis, frequencies on y-axis). but, these 2 side side.

i've gotten far creating data frame containing both variables comments , different row names in first column (with data.frame()and merge()), when plot x-axis seems wrong. attempting reorder columns gives me exception lengths differing.

code:

combined <- merge(data.frame(tab1), data.frame(tab2), = c('var1'), all=t) barplot(t(combined[,2:3]), names.arg = combined[,1], beside=t)

this shows plot, not labels present , value position 26 plotted after 33.

is there simple way plot working? ggplot2 solution nice.

you can put data in 1 data frame (as in example).

df<-data.frame(group=rep(c("a","b"),times=c(2,3)),    values=c(23,56,345,6,7),xval=c(1,2,1,2,8))   group values xval 1         23    1 2         56    2 3     b    345    1 4     b      6    2 5     b      7    8

then ggplot() geom_bar() can used plot data.

ggplot(df,aes(xval,values,fill=group))+   geom_bar(stat="identity",position="dodge")

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