filter rows when all columns greater than a value

Question

I have a data frame and I would like to subset the rows where all columns values meet my cutoff.

here is the data frame:

   A B C
1  1 3 5
2  4 3 5
         


        

Answer 1

We can create a logical matrix my comparing the entire data frame with 2 and then do rowSums over it and select only those rows whose value is equal to number of columns in df

df[rowSums(df > 2) == ncol(df), ]

#  A B C
#2 4 3 5

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A dplyr approach using filter_all and all_vars

library(dplyr) 
df %>%
 filter_all(all_vars(. > 2))

#  A B C
#1 4 3 5

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An apply approach

df[apply(df > 2, 1, all), ]