Here's the quickest way I know of to get a scatterplot of many variables
against a single variable. I create example data to illustrate.
x <- 1:10
ys <- matrix( runif(30), ncol=3)
matplot(x,ys)
## or, a little better,
matplot(x,ys, type='b')
To add regression lines:
for (iy in seq(ncol(ys))) abline(lsfit(x, ys[,iy]))
Coloring the regression lines to match the matplot will take a little more work
(but not a lot more).
Don't ask me about putting the regression line formulas on the plot like in
Excel. I don't do things that way...
There is probably something in ggplot2 or some other package.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 11/27/17, 12:56 AM, "R-help on behalf of Engin YILMAZ"
<r-help-boun...@r-project.org on behalf of ispanyol...@gmail.com> wrote:
Dear
I try to realize one scatter matrix which draws *one single variable to all
variables* with *regression line* . You can see my eviews version in the
annex .
How can I draw this graph with R studio?
Sincerely
Engin YILMAZ
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