is.na() replacing all values instead of na ones

Asked Sep 11 '19 at 05:12

Active Sep 11 '19 at 05:27

Viewed 48 times

I have dataframe tr which contins around 1700 rows. I am trying to replace Type column values wherever they are NA with string "None".

I do a quick count to check how many NAs I have in my Type column.

na_count = tr[which(is.na(tr$Type)), ]

na_count contains 8 records.

Now I replace all the NAs with "None" using

ifelse(is.na(tr$Type), tr$Type <- 'None', 0)

The above command is replacing all the 1700 rows with None instead of just the 8. I'm not sure why that is happening.

edited Sep 11 '19 at 05:27

alistaire

asked Sep 11 '19 at 05:12

Pirate X

2

`tr$Type – alistaire Sep 11 '19 at 05:16
1

"I'm not sure why that is happening" - it's happening because `tr$Type – neilfws Sep 11 '19 at 05:20
@neilfws shouldn't it execute the `tr$Type – Pirate X Sep 11 '19 at 05:22
@alistaire can you post it as answer? It worked. Thanks ! – Pirate X Sep 11 '19 at 05:25
1

Sorry, I've got a personal policy that I only write answers if there's a full [reprex](https://reprex.tidyverse.org/articles/reprex-dos-and-donts.html) in the question – alistaire Sep 11 '19 at 05:29

0 Answers0