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How to remove all rows having NA in R?
To remove all rows having NA, we can use na.omit() function. For Example, if we have a data frame called df that contains some NA values then we can remove all rows that contains at least one NA by using the command na.omit(df).
That means if we have more than one column in the data frame then rows that contains even one NA will be removed. Check out the below Examples to understand how it works.
Example 1
Consider the below data frame −
x1<-sample(c(NA,5,2),20,replace=TRUE) x2<-sample(c(NA,10,100),20,replace=TRUE) df1<-data.frame(x1,x2) df1
The following dataframe is created
x1 x2 1 5 10 2 NA 10 3 5 100 4 NA NA 5 5 100 6 2 NA 7 2 10 8 5 100 9 NA 10 10 2 10 11 5 NA 12 NA 100 13 NA NA 14 2 NA 15 NA 10 16 5 100 17 2 NA 18 NA NA 19 NA 10 20 NA NA
To remove the rows from df1 that contains at least one NA on the above created data frame, add the following code to the above snippet −
x1<-sample(c(NA,5,2),20,replace=TRUE) x2<-sample(c(NA,10,100),20,replace=TRUE) df1<-data.frame(x1,x2) na.omit(df1)
Output
If you execute all the above given snippets as a single program, it generates the following Output −
x1 x2 1 5 10 3 5 100 5 5 100 7 2 10 8 5 100 10 2 10 16 5 100
Example 2
Following snippet creates a sample data frame −
y1<-sample(c(NA,rnorm(2)),20,replace=TRUE) y2<-sample(c(NA,rnorm(2)),20,replace=TRUE) y3<-sample(c(NA,rnorm(2)),20,replace=TRUE) df2<-data.frame(y1,y2,y3) df2
The following dataframe is created
y1 y2 y3 1 NA -1.779384 NA 2 NA -1.779384 0.7194928 3 0.5985389 0.389119 1.2007584 4 NA NA NA 5 1.2319630 -1.779384 1.2007584 6 NA NA NA 7 0.5985389 0.389119 1.2007584 8 0.5985389 NA 1.2007584 9 0.5985389 0.389119 0.7194928 10 NA NA 0.7194928 11 NA NA NA 12 1.2319630 NA 0.7194928 13 0.5985389 NA 0.7194928 14 1.2319630 NA 0.7194928 15 1.2319630 -1.779384 0.7194928 16 0.5985389 -1.779384 1.2007584 17 0.5985389 -1.779384 0.7194928 18 0.5985389 0.389119 1.2007584 19 NA -1.779384 NA 20 0.5985389 0.389119 1.2007584
To remove the rows from df2 that contains at least one NA on the above created data frame, add the following code to the above snippet −
y1<-sample(c(NA,rnorm(2)),20,replace=TRUE) y2<-sample(c(NA,rnorm(2)),20,replace=TRUE) y3<-sample(c(NA,rnorm(2)),20,replace=TRUE) df2<-data.frame(y1,y2,y3) na.omit(df2)
Output
If you execute all the above given snippets as a single program, it generates the following Output −
y1 y2 y3 3 0.5985389 0.389119 1.2007584 5 1.2319630 -1.779384 1.2007584 7 0.5985389 0.389119 1.2007584 9 0.5985389 0.389119 0.7194928 15 1.2319630 -1.779384 0.7194928 16 0.5985389 -1.779384 1.2007584 17 0.5985389 -1.779384 0.7194928 18 0.5985389 0.389119 1.2007584 20 0.5985389 0.389119 1.2007584
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