Here is a simplified example:
dat <- data.frame(x=1:4, y1=runif(4), y2=runif(4), y3=4:1)
for (icol in 2:4) plot(dat[,1] , dat[,icol] )
(not tested, so hopefully all my parentheses are balanced, no typos, etc.)
This shows the basic principle.
An alternative is to construct each column name as a text string within the
loop, and use that in the plot() call.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 5/20/18, 4:05 PM, "R-help on behalf of STEVEN MANCINI"
<r-help-boun...@r-project.org on behalf of 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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