Generate a frequency table of missing values as raw counts and percentages.
freq.na(data, ...)either a vector or a data frame object
if x is a data frame, the names of the variables to examine or keywords to search for such variables. See lookfor for more details.
The result is an object of class data.frame.
data(hdv2003)
## Examine a single vector.
freq.na(hdv2003$qualif)
#> missing %
#> 347 17
## Examine a data frame.
freq.na(hdv2003)
#> missing %
#> trav.imp 952 48
#> trav.satisf 952 48
#> qualif 347 17
#> nivetud 112 6
#> heures.tv 5 0
#> id 0 0
#> age 0 0
#> sexe 0 0
#> poids 0 0
#> occup 0 0
#> freres.soeurs 0 0
#> clso 0 0
#> relig 0 0
#> hard.rock 0 0
#> lecture.bd 0 0
#> peche.chasse 0 0
#> cuisine 0 0
#> bricol 0 0
#> cinema 0 0
#> sport 0 0
## Examine several variables.
freq.na(hdv2003, "nivetud", "trav.satisf")
#> missing %
#> trav.satisf 952 48
#> nivetud 112 6
## To see only variables with the most number of missing values
head(freq.na(hdv2003))
#> missing %
#> trav.imp 952 48
#> trav.satisf 952 48
#> qualif 347 17
#> nivetud 112 6
#> heures.tv 5 0
#> id 0 0