Replace <NA> with NA
The two classes in which this is likely to be a problem are character and factor. This should loop over the dtaframe and convert the "NA" values to true <NA>
, but only for these two classes:
make.true.NA <- function(x) if(is.character(x)||is.factor(x)){
is.na(x) <- x=="NA"; x} else {
x}
df[] <- lapply(df, make.true.NA)
(Untested in the absence of sample data.) Form Usage: df_name[]
Will try to preserve the structure of the original data frame that would otherwise lose its class attribute. I see that ujjwal thinks your NA spelling has "<>" flags, so you can try these functions as more general:
make.true.NA <- function(x) if(is.character(x)||is.factor(x)){
is.na(x) <- x %in% c("NA", "<NA>"); x} else {
x}
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Use dfr[dfr=="<NA>"]=NA
where dfr
is your frame.
For example:
> dfr<-data.frame(A=c(1,2,"<NA>",3),B=c("a","b","c","d"))
> dfr
A B
1 1 a
2 2 b
3 <NA> c
4 3 d
> is.na(dfr)
A B
[1,] FALSE FALSE
[2,] FALSE FALSE
[3,] FALSE FALSE
[4,] FALSE FALSE
> dfr[dfr=="<NA>"] = NA **key step**
> is.na(dfr)
A B
[1,] FALSE FALSE
[2,] FALSE FALSE
[3,] TRUE FALSE
[4,] FALSE FALSE
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You can do it with naniar using replace_with_na
and related functions.
dfr <- data.frame(A = c(1, 2, "<NA>", 3), B = c("a", "b", "c", "d")) library(naniar) # dev version - devtools::install_github('njtierney/naniar') is.na(dfr) #> A B #> [1,] FALSE FALSE #> [2,] FALSE FALSE #> [3,] FALSE FALSE #> [4,] FALSE FALSE dfr %>% replace_with_na(replace = list(A = "<NA>")) %>% is.na() #> A B #> [1,] FALSE FALSE #> [2,] FALSE FALSE #> [3,] TRUE FALSE #> [4,] FALSE FALSE # You can also specify how to do this for many variables dfr %>% replace_with_na_all(~.x == "<NA>") #> # A tibble: 4 x 2 #> A B #> <int> <int> #> 1 2 1 #> 2 3 2 #> 3 NA 3 #> 4 4 4
More about usage replace_with_na
here
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