过滤器从小标题中删除NA字符串或值

Question

Here I'm attempting to remove NA values from a tibble :

mc = as_tibble(c("NA" , NA , "ls", "test"))
mc <- filter(mc , is.na == TRUE)

But error is returned :

> mc = as_tibble(c("NA" , NA , "ls", "test"))
> mc <- filter(mc , is.na == TRUE)
Error in filter_impl(.data, quo) : 
Evaluation error: comparison (1) is possible only for atomic and list types.

How to remove NA values from this tibble ?

Answer 1

Try:

library(tidyverse)

mc %>% 
  mutate(value = replace(value, value == "NA", NA)) %>% 
  drop_na()

Which gives:

# A tibble: 2 x 1
  value
  <chr>
1    ls
2  test

Second line replaces all "NA" to a real <NA> . Then the third line drops all <NA> values.

Answer 2

If you simply want to remove actual NA values:

library(dplyr)
filter(mc, !is.na(value))

Alternatively (this will check all columns, not just the specified column as above):

na.omit(mc)

If you want to remove both NA values, and values equaling the string "NA":

library(dplyr)
filter(mc, !is.na(value), !value == "NA")

Answer 3

The solutions given by @tyluRp and @danh work perfectly fine.

Just wanted to add another alternative solution with the advantages

• simpler code
• shorter - for the lazy ones like me :)

See this one-liner:

mc %>% replace(. == "NA", NA) %>% na.omit