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Hi I want to clean my data frame, based on the age column, whereas i want to delete the rows that the difference between its elements (i+1)-i= integer. i used a <- diff(df$age) for(i in a){if(is.integer(a) == true){df <- df[-a,] }} but, it doesn?t work, any ideas Thanks in advance Bayan

Dear list, Below I've written a clunky for loop that counts NA's in a row, replacing all with NA if there are more than 3 missing values, or keeping the values if 4 or more are present. This is sample code from a very large dataframe I'm trying to clean up. I know there are many simpler more elegant solutions to this little problem. Would someone be willing to show me how to