Hi Steven,
Sad to say that your CSV file didn't make it to the list and I can't
access the data via your Dropbox account. Therefore we don't know the
structure of "mydata". If you are able to plot the data as in your
example, this might help:
genexp<-matrix(runif(360,1,2),ncol=18)
colnames(genexp)<-paste("GluA.",1:18,"GRIA",1:18,"..Expression",sep="")
mydata<-cbind(Age..weeks.post.conception=20:38,genexp)
for(genecol in colnames(mydata)[2:19]) {
png(paste0(genecol,".png"))
plot(mydata$Age..weeks.post.conception,mydata$genecol)
}
Jim
On Mon, May 21, 2018 at 9:05 AM, STEVEN MANCINI <manci...@mcmaster.ca> wrote:
> Hello,
>
> I am trying to create multiple scatter plot graphs. I have 1 independent
> variable (Age - weeks post conception) and 18 dependent variables ("Gene n"
> Expression) in one csv file. Is there a way to set up a looped function to
> produce 18 individual scatterplots? At the moment, I am writing the plot()
> function out 18 times to make the 18 graphs. My code is below and csv file
> is attached.
>
> *Code*
> wd <- setwd("~/Dropbox/Steve/SM Research Projects/Allen Brain Bank
> Project/Allen Brain Bank Inflammatory Markers Project Matlab:R/Other/2018
> Tests")
> list.files(wd)
> mydata <- read.csv("Glutamate.Genes.V1.csv")
> mydata
>
> plot(mydata$Age..weeks.post.conception., mydata$GluA1..GRIA1..Expression)
> plot(mydata$Age..weeks.post.conception.,
> mydata$GluA2..GluR2.GRIA2..Expression), etc
>
> Thank you for your time and help.
>
> Regards,
> Steven
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