replacing NA s with 0 s in R dataframe

Question

I ve been playing around with the airquality dataset in R and figuring out how to remove lines with missing values   I used the following command   complete cases airquality  AQ1 lt -airquality complete cases airquality      How do I go about replacing the NA s in airquality with 0 s and then creating a new dataframe  AQ2   P S  Does my command above create a new dataframe called AQ1   Thanks

User · Answer

Here are two quickie approaches I know of:

In base

AQ1 <- airquality
AQ1[is.na(AQ1 <- airquality)] <- 0
AQ1

Not in base

library(qdap)
NAer(airquality)

PS P.S. Does my command above create a new dataframe called AQ1?

Look at AQ1 and see

User · Answer

What Tyler Rinker says is correct   AQ2  lt - airquality AQ2 is na AQ2    lt - 0   will do just this   What you are originally doing is that you are taking from airquality all those rows  cases  that are complete  So  all the cases that do not have any NA s in them  and keep only those

User · Answer

dataset  lt - matrix sample c NA  1 5   25  replace   TRUE   5   data  lt - as data frame dataset       1    2    3    4    5    1      2    3    5    5    4  2      2    4    3    2    4  3      2   NA   NA   NA    2  4      2    3   NA    5    5  5      2    3    2    2    3    data is na data    lt - 0

[r] replacing NA's with 0's in R dataframe

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