Find Missing Values in R (Example) | How to Identify the Position of NA | is.na & which Function

How to find NA values in vectors and data frames in the R programming language. More details: statisticsglob...
R code of this video:
Example data
expl_vec1 ＜- c(4, 8, 12, NA, 99, - 20, NA)
expl_vec1
Return logical vector indicating NAs
is.na(expl_vec1)
Return positions of NAs
which(is.na(expl_vec1))

[@altareq24953]

does the is.na() function works as is.null() function? I am bit confused. what's difference between these 2 functions?

[@cansustatisticsglobe]

Hello!
You should uıse is.na() when you want to detect NA (missing values) in your data.
x

[@hikikomorihachiman7491]

Thank you

[@micha.statisticsglobe]

You're welcome! 🙂

[@peaceok37]

Hi ,how can we Omit NULL values from non-numerical data fields

[@StatisticsGlobe]

Hey Omkar, have a look at the is.null function. E.g. x

[@asifkhaliq9086]

How to assess the missing value from each variable?

[@StatisticsGlobe]

You can access only one variable using the $ operator. For example is.na(your_data$your_column) Regards, Joachim