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