count number of rows with NA values in a column in r
#count total rows in data frame
nrow(df)
#count total rows with no NA values in any column of data frame
nrow(na.omit(df))
#count total rows with no NA values in specific column of data frame
nrow(df[!is.na(df$column_name),])finding all rows with na values in r
df[!complete.cases(df),]find row with na r
# Never use =='NA' to test for missing values. Use is.na() instead. This should do it:
new_DF <- DF[rowSums(is.na(DF)) > 0,]
# or in case you want to check a particular column, you can also use
new_DF <- DF[is.na(DF$Var),]
#In case you have NA character values, first run
Df[Df=='NA'] <- NACopyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
