On 2010-11-25 23:59, Manderscheid Katharina wrote:
hi peter,
thanks for your reply. i was kind of hoping/thinking that others have
encountered the same problem too.
i try to provide a reproducable example.
my variables are the following (just the cases 1:50). the whole dataset has
about 2800 cases.
satlife[1:50]
[1] 9 10 11 8 11 10 11 6 7 8 3 8 10 9 8 9 7 7 9 8 8 7 10 8 9
[26] 5 7 9 9 11 11 5 3 9 8 9 3 9 6 8 5 6 6 6 9 11 6 5 9 9
income[1:50]
[1] 1841-2250 1111-1460 1841-2250 1841-2250 2251-2710 2711-3190 1461-1840
[8] 3771-4550 4551-5870 3191-3770 1841-2250 1461-1840 3771-4550 2251-2710
[15] 2251-2710 2711-3190 0-1100 1841-2250<NA> 1841-2250 1111-1460
[22]<NA> 3771-4550<NA> 1461-1840<NA> 2711-3190 1461-1840
[29] 0-1100 1461-1840<NA> 1841-2250<NA> 3191-3770<NA>
[36]<NA> <NA> 2251-2710 2711-3190<NA> <NA> <NA>
[43] 2711-3190 2251-2710 3771-4550 3771-4550<NA> <NA> 4551-5870
[50]<NA>
10 Levels: 0-1100 1111-1460 1461-1840 1841-2250 2251-2710 ... 5870 und mehr
satwirt[1:50]
[1] 3 5 6 1 5 5 4 1 4 6 4 1 4 8 1 4 6 5 10 7 8 1 2 4 4
[26] 5 4 4 8 NA 3 4 5 8 6 NA 6 8 6 4 4 3 6 8 6 3 4 1 9 8
freunde[1:50]
[1] 4 5 7 4 6 7 7 3 3 4 2 4 4 5 3 6 7 4 5 2 4 4 5 4 4 6 5 4 4 6 6 6 4 4 5 4 5
6
[39] 3 7 4 5 6 5 5 5 4 2 3 5
gesund[1:50]
[1] gesund gesund gesund gesund nicht gesund
[6] gesund gesund nicht gesund nicht gesund gesund
[11] gesund nicht gesund gesund gesund nicht gesund
[16] gesund gesund nicht gesund gesund gesund
[21] gesund gesund gesund gesund nicht gesund
[26] gesund gesund gesund nicht gesund gesund
[31] gesund gesund nicht gesund gesund gesund
[36] nicht gesund nicht gesund nicht gesund nicht gesund gesund
[41] nicht gesund gesund nicht gesund gesund nicht gesund
[46] gesund gesund gesund gesund gesund
Levels: gesund nicht gesund
and this is the regression model:
reg.satlife<- lm(satlife ~ as.numeric(income)+ freunde + gesund+ satwirt)
the problem appears when calling
par(mfrow=c(2,2))
plot(reg.satlife)
the problem persists also when running the model without the factors income and
gesund.
do you need more information?
Dear Katharina,
Yes, we do need more information.
First, what you provide above is not easily *reproducible*.
Try to provide data with dput() or post it on some accessible
website.
But before you do that, run your regression on the first 50
cases of your data (what you provide above, I assume). It
works for me (although I can't see why you would want the
"as.numeric(income)" term).
My guess is that there's something wrong with your data.
I would try:
1. put your variables into a data.frame;
2. str(...your data.frame...);
3. run regressions with single predictors;
4. run regressions with two predictors;
etc, until the "problem" appears.
It's almost certain that the problem is not with R.
Peter Ehlers
thanks,
katharina
________________________________________
Von: Peter Ehlers [ehl...@ucalgary.ca]
Gesendet: Donnerstag, 25. November 2010 21:54
An: Manderscheid Katharina
Cc: 'r-help@r-project.org'; 'Duncan Murdoch'
Betreff: Re: [R] Problem with plotting diagnostics - Error in
object$coefficients : $ operator is invalid for atomic vectors
On 2010-11-25 02:25, Manderscheid Katharina wrote:
this problem seems to only exist in R 2.12.0 but not in R 2.11.1.
any ideas? a bug?
Duncan *did* say that he was using R 2.12.0. So that's not likely
to be the problem. Most of the time, when users claim that a
problem exists in a new version that did not exist in an older
version, it's due to a change in the user's setup or to not
updating packages or to not checking the NEWS file.
Since you still have not provided a *reproducible* example,
it's not likely that anyone can help. Can't you make up a
small example that shows exactly how you are using lm()
and that will generate the error?
Peter Ehlers
----------------------------------------------
dr. katharina manderscheid
soziologisches seminar
universität luzern
kasernenplatz 3
6000 luzern 7
tel. ++41 41 228 4657
web: http://www.unilu.ch/deu/dr.-katharina-manderscheid_346380.aspx
-----Ursprüngliche Nachricht-----
Von: Duncan Murdoch [mailto:murdoch.dun...@gmail.com]
Gesendet: Mittwoch, 17. November 2010 16:33
An: Manderscheid Katharina
Cc: 'r-help@r-project.org'
Betreff: Re: [R] Problem with plotting diagnostics - Error in
object$coefficients : $ operator is invalid for atomic vectors
On 17/11/2010 10:28 AM, Manderscheid Katharina wrote:
hi all,
after fitting a multiple linear regression
model<- lm(y ~ a + b+ c+d)
i wanted to plot diagnostics
plot(model)
but get the error message
Error in object$coefficients : $ operator is invalid for atomic vectors.
which does not make a lot of sense, since there is no "$" - i am working with
an attached dataset.
can anyone help, please??
thanks a lot,
kat
I just tried those lines (with fake data for a,b,c,d and y) and got no error
message. I was using R 2.12.0.
I think you need to show us a reproducible example, and the
sessionInfo() to go with it, to help with this.
Duncan Murdoch
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