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datadist() in Design libraryHi I got an error message using datadist() from Design package: > library(Design,T) > dd <- datadist(beta.final) > options(datadist="dd") > lrm(Disease ~ gsct+apcct+rarct, x=TRUE, y=TRUE) Error in eval(expr, envir, enclos) : object "Disease" not found All variables inclduing response variable "Disease" are in the data frame "beta.final", why then "Disease" can not be found? I thought with datadist(), all variables are presented to the model fitting functions. maybe I am wrong? thanks John ______________________________________________ R-help@... 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. |
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Re: datadist() in Design libraryDear John,
Have you tried it specifying the 'data' argument as suggested in lrm help? Try this: lrm(Disease ~ gsct + apcct + rarct, data = beta.final, x = TRUE, y = TRUE ) HTH, Jorge On Thu, Jul 9, 2009 at 6:46 PM, array chip <arrayprofile@...> wrote: > > Hi I got an error message using datadist() from Design package: > > > library(Design,T) > > dd <- datadist(beta.final) > > options(datadist="dd") > > lrm(Disease ~ gsct+apcct+rarct, x=TRUE, y=TRUE) > Error in eval(expr, envir, enclos) : object "Disease" not found > > All variables inclduing response variable "Disease" are in the data frame > "beta.final", why then "Disease" can not be found? I thought with > datadist(), all variables are presented to the model fitting functions. > maybe I am wrong? > > thanks > > John > > ______________________________________________ > R-help@... 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@... 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. |
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