with 72 lines to label it will be crowded whatever you do.
Here is one option (though I am showing with fewer lines):
x <- sapply(1:15, function(i) cumsum(rnorm(100)))
par(mar=c(5,4,4,3)+0.1)
matplot(1:100, x, type='l', lty=1)
mtext(LETTERS[1:15], side=4, at=x[100,], las=1, line=1)
One way to spread out the labels is:
library(TeachingDemos)
new.y <- spread.labs(x[100,], mindiff = 1.2*strheight('A'),
min=min(x), max=max(x))
mtext(LETTERS[1:15], side=4, at=new.y, las=1, line=2)
There is also another label spreading function in the plotrix package
and another option for finding space in a plot for labeling lines in
either the rms or Hmisc package. There are probably other packages
with tools available now as well, but those are the ones that I am
familiar with.
On Tue, Jul 19, 2016 at 1:36 PM, John Wasige <johnwas...@gmail.com> wrote:
> Thanks! It worked for me.
> matplot(for_jhon$ID, for_jhon[,2:73], type='l')
>
> Any I dea on how I can label multiple-line plot based on column names?
>
> Thanks for your help
>
> John
>
> On Tue, Jul 19, 2016 at 8:46 PM, Greg Snow <538...@gmail.com> wrote:
>>
>> Most attachments get stripped off, so your data did not make it through.
>>
>> But try:
>>
>> matplot(for_jhon$ID, for_jhon[,2:73], type='l')
>>
>>
>> On Tue, Jul 19, 2016 at 12:24 PM, John Wasige <johnwas...@gmail.com>
>> wrote:
>> > Dear all,
>> >
>> > This is to kindly request for your help. I would like to plot my data.
>> >
>> > The R script below gives some plot that is not clear. How can I get a
>> > clear
>> > multiple-line plot. The data is attached herewith.
>> >
>> > ##R Script
>> > for_jhon = read.csv("C:/LVM_share/for_ jhon.csv", header=TRUE, sep=";")
>> > matplot(for_jhon$ID, cbind(for_jhon[,2:73]))
>> >
>> > Thanks for your help
>> >
>> > John
>> > ______________________________________________
>> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> > 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.
>>
>>
>>
>> --
>> Gregory (Greg) L. Snow Ph.D.
>> 538...@gmail.com
>
>
>
>
> --
> John Wasige
> "There are no REGRATES in LIFE, just lessons (Jennifer Aniston)”
--
Gregory (Greg) L. Snow Ph.D.
538...@gmail.com
______________________________________________
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