Hi, I am not getting any errors. data_chir <- read.table(text="N1_re N2_re N3_re yes no no no yes no na yes yes no na no",sep="",header=TRUE,stringsAsFactors=FALSE,na.strings="na") library(reshape2) melt(data_chir, measure.vars=c("N1_re", "N2_re"), var="zpd") N3_re zpd value 1 no N1_re yes 2 no N1_re no 3 yes N1_re <NA> 4 no N1_re no 5 no N2_re no 6 no N2_re yes 7 yes N2_re yes 8 no N2_re <NA> A.K.
On Saturday, November 23, 2013 5:02 PM, maggy yan <kiot...@gmail.com> wrote: sorry, I forgot that.. the variables look like this: N1_re N2_re N3_re yes no no no yes no na ye yes no na no 2013/11/23 arun <smartpink...@yahoo.com> Hi, >You need to make a reproducible example for others to understand the error. > set.seed(49) > data_chir <- >data.frame(N1_re=sample(c(NA,"yes","no"),100,replace=TRUE),N2_re=sample(c(NA,"yes","no"),100,replace=TRUE),stringsAsFactors=FALSE) > melt(data_chir, measure.vars=c("N1_re", "N2_re"), var="zpd") #no errors here. > > >A.K. > > > > > >On Saturday, November 23, 2013 10:07 AM, maggy yan <kiot...@gmail.com> wrote: >I want to make a stacked bar plot with one bar for two variables from my >data "chir", the two variables have about 100 values like no, yes and na. I >want to show how many no, yes and na they both have together with the >stacked bar. I tried to melt these to variables first like this: > >melt1=melt(data_chir, measure.vars=c("N1_re", "N2_re"), var="zpd") > >but it says " arguments imply differing number of rows: 98, 196" > > >maybe there is another way to make the plot without melt? > >thanks in advance! > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.