Re: [R] R is not reading(?) my data properly

From: ONKELINX, Thierry <>
Date: Sat, 9 Feb 2008 17:37:14 +0100


Learn to use the data argument. E.g.

plot(rgnpc, incmean, data = pol572a1)
Model <- lm(incmean ~ rgnpc, data = pol572a1)

to get the fitted values:


HTH, Thierry

PS It seems to me that you might want to read a good introduction into R.

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
tel. + 32 54/436 185

Do not put your faith in what statistics say until you have carefully considered what they do not say. ~William W. Watt A statistical analysis, properly conducted, is a delicate dissection of uncertainties, a surgery of suppositions. ~M.J.Moroney

-----Oorspronkelijk bericht-----
Van: [] Namens Alexander Ovodenko
Verzonden: zaterdag 9 februari 2008 17:23 Aan:
Onderwerp: [R] R is not reading(?) my data properly

 Thanks for the replies to my prior question. My problem is that R always
says object not found when I enter a variable name into a command. I converted a Stata file into an Rdata file by first loading the foreign package by entering


Then I asked R to read the Stata file by entering

pol572a1<- read.dta("C:\\alex\\Graduate Coursework\\Pol 572\\pol572a1.dta")

So now I can do a few things with the data, but I am only able to do so by


before typing another command. So I enter the following for a scatter plot:
with(pol572a1, plot(rgnpc, incmean))

When I run a simple linear regression, I enter the following: with(pol572a1,

But when try to get a fitted line, I enter the following: with(pol572a1, lm(
share.gnp)<-lm(incmean~rgnpc)) But I get the following error message: Error
in lm(share.gnp) <- lm(incmean ~ rgnpc) : object "share.gnp" not found

So what should I do to get R to read the dataframe in the ordinary way with
the usual command? I am willing to scrap this dataframe and use the original Stata file to start over, as long as that resolves the problem.



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