Re: [R] Cleaning data

Hi Bayan, Your question seems to imply that the "age" column contains floating point numbers, e.g. df height weight age 170 72 21.5 ... If this is so, you will only find an integer in diff(age) if two adjacent numbers happen to have the same decimal fraction _and_ the subtraction d

Re: [R] Cleaning data

Hi Bayan, In your code, 'a' is a vector and is.integer(a) is a logical of length 1 - most likely FALSE if even one element of a is not an integer. (Since R will coerce all the elements of a to the same type.) You need to decide whether something "close enough" to an integer is to be considered an i

[R] Cleaning data

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 ___