Dear all,
I am a stata user and I am moving my first steps in R.
I am dealing with a silly issue concerning looping over variables. I read
previous posts on similar topics in the R help archive, but I did not find a
solution.
Here is my case:
I run a simple bivariate linear regression saving the output in objects
called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3
pd.memb.0 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
pd.memb.1 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
<quantile(M.fs.memb, .25) & tag2 == 1))
pd.memb.2 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb >
quantile(M.fs.memb, .25) & M.fs.memb <= quantile(M.fs.memb, .75) &
tag2 =1))
pd.memb.3 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb >
quantile(M.fs.memb, .75) & tag2 == 1))
Subsequently, I wish to plot my data superimposing a different line for each
regression model. Here I am trying to apply my loop. Looking at the info I
found around, the following code sound to me as correct, but I am wrong.
plot(M.fs.memb , E.fs.memb)
for(i = 1:3){
curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, col
"red")
}
The plot is plotted, but the curves are not printed and I get the following
error message:
Error in coef(pd.memb.i) :
error in evaluating the argument 'object' in selecting a method for
function 'coef'> }Error: unexpected '}' in "}"
What am I doing wrong?
Thanks a lot for your help,
f.
[[alternative HTML version deleted]]
You don't have a variable named pd.memb.i
Instead, you need something like:
get(paste("pd.memb.", i, sep=""))
The error message you're getting, though, is because your
loop syntax is wrong:
for(i in 1:3) {
do something
}
Sarah
On Sun, Sep 18, 2011 at 12:05 PM, Francesco Sarracino
<f.sarracino at gmail.com> wrote:> Dear all,
>
> I am a stata user and I am moving my first steps in R.
> I am dealing with a silly issue concerning looping over variables. I read
> previous posts on similar topics in the R help archive, but I did not find
a
> solution.
> Here is my case:
>
> I run a simple bivariate linear regression saving the output in objects
> called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3
>
> pd.memb.0 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
> pd.memb.1 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
<> quantile(M.fs.memb, .25) & tag2 == 1))
> pd.memb.2 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb >
> quantile(M.fs.memb, .25) & M.fs.memb <= quantile(M.fs.memb, .75)
& tag2 => 1))
> pd.memb.3 <- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb >
> quantile(M.fs.memb, .75) & tag2 == 1))
>
> Subsequently, I wish to plot my data superimposing a different line for
each
> regression model. Here I am trying to apply my loop. Looking at the info I
> found around, the following code sound to me as correct, but I am wrong.
>
> plot(M.fs.memb , E.fs.memb)
> for(i = ?1:3){
> ?curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, col
> "red")
> }
>
> The plot is plotted, but the curves are not printed and ?I get the
following
> error message:
>
>
> Error in coef(pd.memb.i) :
> ?error in evaluating the argument 'object' in selecting a method
for
> function 'coef'> }Error: unexpected '}' in "}"
>
>
> What am I doing wrong?
> Thanks a lot for your help,
> f.
>
> ? ? ? ?[[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.
>
--
Sarah Goslee
http://www.functionaldiversity.org
Sarah has told you how to get from where you are to where you want to be. However, it is easier to start somewhere else. The more "R" way to do what you are doing is to use a list to put the results of your regressions into. It is then very easy to use that list, and it is easier to keep track of. The two documents mentioned in my signature may help you get up and running in R. Since you are coming from Stata, you should also look at http://r4stats.com On 18/09/2011 17:05, Francesco Sarracino wrote:> Dear all, > > I am a stata user and I am moving my first steps in R. > I am dealing with a silly issue concerning looping over variables. I read > previous posts on similar topics in the R help archive, but I did not find a > solution. > Here is my case: > > I run a simple bivariate linear regression saving the output in objects > called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3 > > pd.memb.0<- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1)) > pd.memb.1<- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb<> quantile(M.fs.memb, .25)& tag2 == 1)) > pd.memb.2<- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb> > quantile(M.fs.memb, .25)& M.fs.memb<= quantile(M.fs.memb, .75)& tag2 => 1)) > pd.memb.3<- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb> > quantile(M.fs.memb, .75)& tag2 == 1)) > > Subsequently, I wish to plot my data superimposing a different line for each > regression model. Here I am trying to apply my loop. Looking at the info I > found around, the following code sound to me as correct, but I am wrong. > > plot(M.fs.memb , E.fs.memb) > for(i = 1:3){ > curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, col > "red") > } > > The plot is plotted, but the curves are not printed and I get the following > error message: > > > Error in coef(pd.memb.i) : > error in evaluating the argument 'object' in selecting a method for > function 'coef'> }Error: unexpected '}' in "}" > > > What am I doing wrong? > Thanks a lot for your help, > f. > > [[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. >-- Patrick Burns pburns at pburns.seanet.com twitter: @portfolioprobe http://www.portfolioprobe.com/blog http://www.burns-stat.com (home of 'Some hints for the R beginner' and 'The R Inferno')