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?
Thanks a lot,
Best,
Aurelien
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