Craig O'Connell
2013-Feb-13 22:02 UTC
[R] Need Help Plotting "Line" for multiple linear regression
Hello,
My name is Craig and I need help plotting a "line" for a multiple
linear
regression in R.
Here is my sample data (filename: convis.txt)
Output of convis.txt is (vis and density being predictors of either
avoidance or entrance):
vis den avoid entrance
1 10 1 0.0000 0.0000
2 10 3 0.8750 0.0000
3 8 3 0.8180 0.0300
4 8 3 0.6670 0.0667
5 8 1 0.2110 0.0000
6 6 1 0.2500 0.0000
7 10 1 0.3000 0.0000
8 10 1 0.1050 0.0000
9 8 1 0.7000 0.1000
10 3 5 0.1176 0.0588
11 3 5 0.3077 0.1150
12 3 9 0.9090 0.0900
13 3 7 0.7778 0.1110
14 3 5 0.5560 0.1110
15 3 1 0.5710 0.0000
16 3 4 0.5710 0.0000
In order to do the multiple regression, I used the following coding:
double=read.table("convis.txt",header=TRUE)
attach(double)
double
stem(vis)
stem(den)
stem(avoid)
stem(entrance)
plot(entrance,vis*den) *as means to see how the interaction between
visibility and density may impact entrance behaviors
model6=lm(entrance~vis*den)
model6
summary(model6)
*abline(model6) *Here is the issue as I used this for my simple linear
regression technique, but do not know what to use for a multiple regression*
If anybody can provide some feedback on this, it would be greatly
appreciated.
Kind Regards,
Craig
--
<>< <>< <><
Craig O'Connell
University of Massachusetts Dartmouth
Marine Biologist
www.youtube.com/craigpoconnell
craigosea.blogspot.com
[[alternative HTML version deleted]]
PIKAL Petr
2013-Feb-14 08:02 UTC
[R] Need Help Plotting "Line" for multiple linear regression
Hi> -----Original Message----- > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r- > project.org] On Behalf Of Craig O'Connell > Sent: Wednesday, February 13, 2013 11:03 PM > To: r-help at r-project.org > Subject: [R] Need Help Plotting "Line" for multiple linear regression > > Hello, > > My name is Craig and I need help plotting a "line" for a multiple > linear regression in R. > > Here is my sample data (filename: convis.txt) > > Output of convis.txt is (vis and density being predictors of either > avoidance or entrance): > > vis den avoid entrance > 1 10 1 0.0000 0.0000 > 2 10 3 0.8750 0.0000 > 3 8 3 0.8180 0.0300 > 4 8 3 0.6670 0.0667 > 5 8 1 0.2110 0.0000 > 6 6 1 0.2500 0.0000 > 7 10 1 0.3000 0.0000 > 8 10 1 0.1050 0.0000 > 9 8 1 0.7000 0.1000 > 10 3 5 0.1176 0.0588 > 11 3 5 0.3077 0.1150 > 12 3 9 0.9090 0.0900 > 13 3 7 0.7778 0.1110 > 14 3 5 0.5560 0.1110 > 15 3 1 0.5710 0.0000 > 16 3 4 0.5710 0.0000 > > In order to do the multiple regression, I used the following coding: > > > double=read.table("convis.txt",header=TRUE) > attach(double) > double > stem(vis) > stem(den) > stem(avoid) > stem(entrance) > plot(entrance,vis*den) *as means to see how the interactionThis is not an interaction, you just multiply vis and den and plot entrance on x axis and vis*den on y axis, so basically you want to model vis*den by entrance.> between > visibility and density may impact entrance behaviors > model6=lm(entrance~vis*den)This model is oposite of what you plotted.> model6 > summary(model6) > *abline(model6) *Here is the issue as I used this for my simple > linear > regression technique, but do not know what to use for a multiple > regression*You seem to not understand how the multiple regression output and abline works. Based on what you want you can do plot(vis*den, entrance) model6 <- lm(entrance~I(vis*den)) abline(model6) however your model will have only intercept and one coefficient for variable x=vis*den If you want to have separate coefficients for vis ***and*** den and their interaction you can use model6=lm(entrance~vis*den) but in this case resulting coefficients are Intercept, vis, den and interaction between vis and den. In that case beside of other procedures for model evaluation you can do. plot(entrance, fitted(model6)) abline(0,1) Regards Petr> > If anybody can provide some feedback on this, it would be greatly > appreciated. > > Kind Regards, > > Craig > > -- > <>< <>< <>< > Craig O'Connell > University of Massachusetts Dartmouth > Marine Biologist > www.youtube.com/craigpoconnell > craigosea.blogspot.com > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > 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.
Greg Snow
2013-Feb-14 15:21 UTC
[R] Need Help Plotting "Line" for multiple linear regression
The abline function works fine for simple linear regression because there is only 1 line, but with multiple linear regression there are an infinite number of lines and you need to decide which to plot (or find a way to plot t he plane/hyperplane/surface/etc.). One option is to use the Predict.Plot and TkPredict functions in the TeachingDemos package. These will plot the relationship between the response and 1 of the predictors conditioned on values of the other predictors. On Wed, Feb 13, 2013 at 3:02 PM, Craig O'Connell <craigpoconnell@gmail.com>wrote:> Hello, > > My name is Craig and I need help plotting a "line" for a multiple linear > regression in R. > > Here is my sample data (filename: convis.txt) > > Output of convis.txt is (vis and density being predictors of either > avoidance or entrance): > > vis den avoid entrance > 1 10 1 0.0000 0.0000 > 2 10 3 0.8750 0.0000 > 3 8 3 0.8180 0.0300 > 4 8 3 0.6670 0.0667 > 5 8 1 0.2110 0.0000 > 6 6 1 0.2500 0.0000 > 7 10 1 0.3000 0.0000 > 8 10 1 0.1050 0.0000 > 9 8 1 0.7000 0.1000 > 10 3 5 0.1176 0.0588 > 11 3 5 0.3077 0.1150 > 12 3 9 0.9090 0.0900 > 13 3 7 0.7778 0.1110 > 14 3 5 0.5560 0.1110 > 15 3 1 0.5710 0.0000 > 16 3 4 0.5710 0.0000 > > In order to do the multiple regression, I used the following coding: > > > double=read.table("convis.txt",header=TRUE) > attach(double) > double > stem(vis) > stem(den) > stem(avoid) > stem(entrance) > plot(entrance,vis*den) *as means to see how the interaction between > visibility and density may impact entrance behaviors > model6=lm(entrance~vis*den) > model6 > summary(model6) > *abline(model6) *Here is the issue as I used this for my simple linear > regression technique, but do not know what to use for a multiple > regression* > > If anybody can provide some feedback on this, it would be greatly > appreciated. > > Kind Regards, > > Craig > > -- > <>< <>< <>< > Craig O'Connell > University of Massachusetts Dartmouth > Marine Biologist > www.youtube.com/craigpoconnell > craigosea.blogspot.com > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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. 538280@gmail.com [[alternative HTML version deleted]]