Скачать с ютуб R Remove Data Frame Rows with NA Values | na.omit, complete.cases, rowSums, is.na, drop_na & filter в хорошем качестве

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 Follow me on Social Media: Facebook:   / statisticsglobecom   Patreon:   / statisticsglobe   Pinterest: https://www.pinterest.de/JoachimSchork Reddit:   / joachimschork   Twitter:   / joachimschork