Question

I have a character data frame in R which has NaNs in it. I need to remove any row with a NaN and then convert it to a numeric data frame.

If I just do as.numeric on the data frame, I run into the following

Error: (list) object cannot be coerced to type 'double'
 1:
 0:

Answer 1

As @thijs van den bergh points you to,

dat <- data.frame(x=c("NaN","2"),y=c("NaN","3"),stringsAsFactors=FALSE)

dat <- as.data.frame(sapply(dat, as.numeric)) #<- sapply is here

dat[complete.cases(dat), ]
#  x y
#2 2 3

Is one way to do this.

Your error comes from trying to make a data.frame numeric. The sapply option I show is instead making each column vector numeric.