Handling NA in R | is.na, na.omit & na.rm Functions for Missing Values
Автор: Statistics Globe
Загружено: 2019-01-11
Просмотров: 72655
Описание:
How to handle NA in R programming - 4 examples for is.na, na.omit & na.rm.
Find more R tutorials here: https://statisticsglobe.com/r-program...
Find missing values in R: https://statisticsglobe.com/r-find-mi...
How to use the is.na function in R: https://statisticsglobe.com/r-is-na-f...
Handling NAs with na.omit: https://statisticsglobe.com/na-omit-r...
What does NA actually mean? The NA value explained: https://statisticsglobe.com/r-na/
Listwise deletion (including an R example): https://statisticsglobe.com/listwise-...
The R code of this tutorial:
Load data
data("airquality")
Find missing values
is.na(airquality)
Count missing values
sum(is.na(airquality))
Omit missing values
na.omit(airquality)
Remove missing values
mean(airquality$Ozone, na.rm = TRUE)
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