Remove rows with all or some NAs (missing values) in data.frame

808 Asked by anurag_4280 in Data Science , Asked on Jun 4, 2021

Want to remove the lines from data frame from that :

Have NAs across all columns

             a                               b    c       d     e        f
1 YASH00000206234    0   NA   NA   NA   NA
2 YASH00000199774    0    2        2       2      2
3 YASH00000221722    0   NA   NA   NA   NA
4 YASH00000207704    0   NA   NA   1       2
5 YASH00000207531    0   NA   NA   NA   NA
6 YASH00000221412    0   1        2      3       2

I would like to get the data frame as follows :

             a                             b    c    d    e    f
2 YASH00000199774    0   2    2    2    2
6 YASH00000221412    0   1    2    3    2

Have NAs in only some columns and the result I will get:

             a                              b   c    d     e    f    
2 YASH00000199774    0   2    2    2    2
4 YASH00000207704   0  NA  NA 1   2 
6 YASH00000221412    0   1    2    3    2

Answered by Ben PHILLIPS

(a)To r delete rows with na values, we use na.omit() function.

In your case:

final <- na.omit(dataframe)

Output:

             a       b    c    d    e    f

2 YASH00000199774    0    2    2    2    2

6 YASH00000221412    0    1    2    3    2

(b) To remove r rows with NA by selecting specific columns from a data frame then you can use complete.cases() function.

In your case:

dataframe[complete.cases(dataframe[ , 5:6]),]

Output:

              a       b   c    d     e    f    

2 YASH00000199774     0   2    2     2     2

4 YASH00000207704     0  NA    NA    1     2 

6 YASH00000221412     0   1    2     3     2

Remove rows with all or some NAs (missing values) in data.frame

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