Скачать или смотреть R Remove Data Frame Rows with NA Values | na.omit, complete.cases, rowSums, is.na, drop_na & filter

How to delete rows with some or all missing values in a data frame in the R programming language. More details: https://statisticsglobe.com/r-remove-...
R code of this video:

data ＜- data.frame(x1 = c(4, 1, NA, 7, 8, 1), # Create example data
x2 = c("A", NA, NA, "XX", "YO", "YA"),
x3 = c(1, 0, NA, 1, 1, NA))

data1 ＜- na.omit(data) # Apply na.omit function

data2 ＜- data[complete.cases(data), ] # Apply complete.cases function

data3 ＜- data[rowSums(is.na(data)) == 0, ] # Apply rowSums & is.na

install.packages("tidyr") # Install & load tidyr package
library("tidyr")

data4 ＜- data %＞% drop_na() # Apply drop_na function

data5 ＜- data[!is.na(data$x1), ] # Apply is.na function

install.packages("dplyr") # Install dplyr package
library("dplyr") # Load dplyr package

data6 ＜- filter(data, !is.na(data$x1)) # Apply filter function

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