R Delete Data Frame Rows where All or Some Values are Missing (2 Examples)

my_df <- data.frame(x = 1:10,    # Creating some example data
                    y = letters[1:10])
my_df$x[c(3, 5, 10)] <- NA       # Inserting missing values
my_df$y[c(3, 4)] <- NA
my_df                            # Returning example data to RStudio console
#     x    y
# 1   1    a
# 2   2    b
# 3  NA <NA>
# 4   4 <NA>
# 5  NA    e
# 6   6    f
# 7   7    g
# 8   8    h
# 9   9    i
# 10 NA    j

my_df <- data.frame(x = 1:10, # Creating some example data y = letters[1:10]) my_df$x[c(3, 5, 10)] <- NA # Inserting missing values my_df$y[c(3, 4)] <- NA my_df # Returning example data to RStudio console # x y # 1 1 a # 2 2 b # 3 NA <NA> # 4 4 <NA> # 5 NA e # 6 6 f # 7 7 g # 8 8 h # 9 9 i # 10 NA j

my_df[!is.na(my_df$x), ]         # Applying is.na function
#   x    y
# 1 1    a
# 2 2    b
# 4 4 <NA>
# 6 6    f
# 7 7    g
# 8 8    h
# 9 9    i

my_df[!is.na(my_df$x), ] # Applying is.na function # x y # 1 1 a # 2 2 b # 4 4 <NA> # 6 6 f # 7 7 g # 8 8 h # 9 9 i

na.omit(my_df)                   # Applying na.omit function
#   x y
# 1 1 a
# 2 2 b
# 6 6 f
# 7 7 g
# 8 8 h
# 9 9 i

na.omit(my_df) # Applying na.omit function # x y # 1 1 a # 2 2 b # 6 6 f # 7 7 g # 8 8 h # 9 9 i