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

[@al24953]

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

[@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

[@hikikomorihachiman7491]

Thank you

[@micha.statisticsglobe]

You're welcome! 🙂

[@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