'user_na = FALSE does not make all empty rows NA - only for some columns when reading using read_sav
I use
df <- read_sav("data/file.sav", user_na = FALSE)
But the data does not look like expected
col1 col2
1 Onestreet
2 Twostreet
NA
4
5
How come rows 3-5 not become NA in col2?
Solution 1:[1]
To convert the empty strings to missing you can do:
library(dplyr)
df %>%
mutate(col2 = if_else(col2 == '', NA_character_, col2))
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | deschen |
