na.rm in vector
When we perform any operation, we have to exclude NA values, otherwise, the result would be NA.
Syntax: function(vector,na.rm)
where
- vector is input vector
- na.rm is to remove NA values
- function is to perform operation on vector like sum ,mean ,min ,max etc
Example 1: In this example, we are calculating the mean, sum, minimum, maximum, and standard deviation with NA
R
# create a vector data = c(1,2,3,NA,45,34,NA,NA,23) # display print(data) # calculate mean including NA values print(mean(data,na.rm=FALSE)) # calculate sum including NA values print(sum (data,na.rm=FALSE)) # get minimum including NA values print(min(data,na.rm=FALSE)) # get maximum including NA values print(max(data,na.rm=FALSE)) # calculate standard deviation including # NA values print(sd (data,na.rm=FALSE)) |
Output:
[1] 1 2 3 NA 45 34 NA NA 23 [1] NA [1] NA [1] NA [1] NA [1] NA
Example 2: In this example, we are calculating the mean, sum, minimum, maximum, and standard deviation without NA
R
# create a vector data = c(1,2,3,NA,45,34,NA,NA,23) # display print(data) # calculate mean excluding NA values print(mean(data,na.rm=TRUE)) # calculate sum excluding NA values print(sum (data,na.rm=TRUE)) # get minimum excluding NA values print(min(data,na.rm=TRUE)) # get maximum excluding NA values print(max(data,na.rm=TRUE)) # calculate standard deviation excluding # NA values print(sd (data,na.rm=TRUE)) |
Output:
[1] 1 2 3 NA 45 34 NA NA 23 [1] 18 [1] 108 [1] 1 [1] 45 [1] 18.86796
How to Use na.rm in R?
In this article, we will discuss how to use na.rm in R Programming Language. na.rm in R is used to remove the NA values.