Omit Missing Values in One Specific Data Frame Variable in R (Example Code)

On this page, I’ll show how to omit NA values in only one specific data frame variable in R programming.

Construction of Example Data

data(iris)                                               # Preparing example data
iris_NA <- head(iris)
iris_NA$Sepal.Length[c(1, 3, 6)] <- NA
iris_NA$Sepal.Width[c(2, 3, 4)] <- NA
iris_NA
#   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1           NA         3.5          1.4         0.2  setosa
# 2          4.9          NA          1.4         0.2  setosa
# 3           NA          NA          1.3         0.2  setosa
# 4          4.6          NA          1.5         0.2  setosa
# 5          5.0         3.6          1.4         0.2  setosa
# 6           NA         3.9          1.7         0.4  setosa

Example: Applying is.na() Function to Remove NA Values in Particular Column of Data Frame

iris_NA_drop <- iris_NA[!is.na(iris_NA$Sepal.Length), ]  # Omitting missing values in specific variable
iris_NA_drop
#   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 2          4.9          NA          1.4         0.2  setosa
# 4          4.6          NA          1.5         0.2  setosa
# 5          5.0         3.6          1.4         0.2  setosa

Related Articles & Further Resources

Please have a look at the following R programming tutorials. They focus on similar topics as this article:

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