How to remove rows with inf from a dataframe in R

Question

I have a very large dataframe(df) with approximately 35-45 columns(variables) and rows greater than 300. Some of the rows contains NA,NaN,Inf,-Inf values in

Answer 1

To keep the rows without Inf we can do:

df[apply(df, 1, function(x) all(is.finite(x))), ]

Also NAs are handled by this because of:
a rowindex with value NA will remove this row in the result.

Also rows with NaN are not in the result.

set.seed(24)
df <- as.data.frame(matrix(sample(c(0:9, NA, -Inf, Inf, NaN),  20*5, replace=TRUE), ncol=5))
df2 <- df[apply(df, 1, function(x) all(is.finite(x))), ]

Here are the results of the different is.~-functions:

x <- c(42, NA, NaN, Inf)
is.finite(x)
# [1]  TRUE FALSE FALSE FALSE
is.na(x)
# [1] FALSE  TRUE  TRUE FALSE
is.nan(x)
# [1] FALSE FALSE  TRUE FALSE