I have a df : 262 obs. of 69 variabels
one variabel, table(data$ex, useNA = "ifany")
0 1 2 3 NA
33 9 25 4 191
I want to drop all obs if data$ex == 0
I tryed different ways
> data <- data[data2$ex !=0, ]
I tryed the subset function
But every time alot of the dataframe changes to NA
How can I drop observation / rows (data$ex == 0) and not change anythin else in the dataframe?
Thanks, F
CodePudding user response:
This is a very basic use of subset
.
data |> subset(ex != 0 | is.na(ex))
Output:
#> ex
#> 1 2
#> 2 2
#> 3 NA
#> 4 NA
#> 6 1
#> 8 NA
#> 9 2
#> 10 3
PS - create reproducible example
data <- structure(list(ex = c(2, 2, NA, NA, 0, 1, 0, NA, 2, 3)),
class = "data.frame", row.names = c(NA, -10L))
data
#> ex
#> 1 2
#> 2 2
#> 3 NA
#> 4 NA
#> 5 0
#> 6 1
#> 7 0
#> 8 NA
#> 9 2
#> 10 3
Created on 2022-06-13 by the reprex package (v2.0.1)