Removing NA observations with dplyr filter

Question

My data looks like this   library tidyverse   df  lt - tribble       a   b   c      1  2  3       1  NA  3       NA  2  3     I can remove all NA observations with drop na     df   gt   drop na     Or remove all NA observations in a single column  a for example    df   gt   drop na a    Why can t I just use a regular    filter pipe   df   gt   filter a    NA    Why do we have to use a special function from tidyr to remove NAs

User · Answer

If someone is here in 2020  after making all the pipes  if u pipe   gt   na exclude will take away all the NAs in the pipe

User · Answer

From  Ben Bolker       T his has nothing specifically to do with dplyr  filter     From  Marat Talipov        A ny comparison with NA  including NA  NA  will return NA   From a related answer by  farnsy        The    operator does not treat NA s as you would expect it to        Think of NA as meaning  I don t know what s there   The correct answer   to 3   NA is obviously NA because we don t know if the missing value   is larger than 3 or not  Well  it s the same for NA    NA  They are   both missing values but the true values could be quite different  so   the correct answer is  I don t know        R doesn t know what you are doing in your analysis  so instead of   potentially introducing bugs that would later end up being published   an embarrassing you  it doesn t allow comparison operators to think NA   is a value

User · Answer

For example       you can use   df   gt   filter  is na a     to remove the NA in column a

[r] Removing NA observations with dplyr::filter()

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