thanks for your suggestions, which work.
In addition, I updated Rstudio to the latest version and my old code works
again.
Best,
Aurelien
2012/3/14 Petr Savicky <savi...@cs.cas.cz>
> On Wed, Mar 14, 2012 at 03:07:19PM -0700, Aurélien PHILIPPOT wrote:
> > Dear R experts,
> > I have a dataframe imported from a csv file (with read.csv).
> >
> > Here is an example:
> >
> > yyyymm<- c("19860228", "19860331","19860430","19860531")
> > id<-c("10000","10000","10000","10000")
> > re<- c("C","0.25", "0.98", "1.34")
> >
> > mret<-data.frame(yyyymm, id, re)
> >
> > mret<-as.numeric(as.character(mret$re))
> > Error: (converted from warning) NAs introduced by coercion
> >
> >
> > One of the column ("re" in the example above) has characters and numbers,
> > but it should be treated a numeric column. Therefore, I want to eliminate
> > the rows in which the variable re has characters values (the first row in
> > the example).
> > In the past, I always used this code successfully (the characters were
> > replaced by NA, and only a warning message was issued). But now, I have
> an
> > error message and it no longer works. Could anyone suggest an alternative
> > way to do it?
>
> Hi.
>
> You probably have options(warn=2) set. This may be checked
> using getOption("warn"). If you set options(warn=0), then
> the warning will not be converted to an error.
>
> Hope this helps.
>
> Petr Savicky.
>
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