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'] <- NA

Source: stackoverflow.com

Similar codes

0 vote151 views2 answers
Remove column from matrix r
R
0 vote158 views1 answer
Stat_poly_eq position
R
2 votes173 views1 answer
Vars() in R
R
0 vote154 views1 answer
Logistic inverse CDF in r
R
0 vote147 views1 answer
Remove all empty strings from R
R
3 votes162 views3 answers
R set dataframe column names
R
0 vote165 views1 answer
Ggplot: boxplot with trendline
R
0 vote90 views1 answer
Split strings by space in r
R
0 vote144 views1 answer
Exp() function R
R
0 vote205 views1 answer
R - extracting specific columns from a data frame
R