A kind respondent mentioned that I gave no data for this data set. Here is a
subset in CSV format:
"","levels","m101","m10"
"1",0.15,0.00166736248903737,0.00525782746279257
"2",0.16,0.000671421429082792,0.00263263808833129
"3",0.17,0.00024891450838,0.00125478603676572
"4",0.18,8.627005347
ggplot is looking for thisData as a column of coffs. the most
'ggplotesque' way of doing this would be:
# melt your data to a "long" format:
coffs.melt <- melt(coffs, id.vars = 'levels')
# plot using colour aes parameter:
ggplot(coffs.melt, aes(x=levels, y=value, colour=variable)) + geom_line()
Folks,
I want to automate some graphing using ggplot.
Here is my code
graphChargeOffs2<-function(coffs) {
ggplot(coffs, aes(levels))
dataNames<-names(coffs)[!names(coffs) == "levels"]
for(i in dataNames) {
thisData<-coffs[[i]]
last_plot() + geom_line(aes(y = thisData, colour = i))
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