[R] Loop Function to Create Multiple Scatterplots

[MacQueen, Don]

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-bounces using r-project.org on behalf of mancinsj using 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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