Removing missing values from vector
> vector1 <- c(123, NA, 345, 3, 4, 5, NA, NA, 10) > vector1 [1] 123 NA 345 3 4 5 NA NA 10 > > missing <- is.na(vector1) > missing [1] FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE > > vector1[!missing] [1] 123 345 3 4 5 10
“missing” is a
logical vector, which is TRUE if element is NA, else false.
vector1[!missing]
returns all members without missing values.
Remove rows with missing data
By using “na.omit()”
function we can remove rows with missing data. “na.omit” returns the object
with incomplete cases removed. Lets see this with inbuilt dataset airquality.
> x <- na.omit(airquality)
Above
statement remove rows with missing data.
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