util_remove_na_records: remove all records, that have at least one 'NA' in any of the...

In dataquieR: Data Quality in Epidemiological Research

remove all records, that have at least one NA in any of the given variables

Description

remove all records, that have at least one NA in any of the given variables

Usage

util_remove_na_records(study_data, vars = colnames(study_data))

Arguments

study_data	the study data frame
vars	the variables being checked for NAs

Value

modified study_data data frame

See Also

Other data_management: util_assign_levlabs(), util_check_data_type(), util_check_group_levels(), util_compare_meta_with_study(), util_dichotomize(), util_merge_data_frame_list(), util_rbind(), util_replace_hard_limit_violations(), util_study_var2factor(), util_table_of_vct()

Examples

## Not run: 
dta <- iris
dim(util_remove_na_records(dta))
dta$Species[4:6] <- NA
dim(util_remove_na_records(dta))
dim(util_remove_na_records(dta, c("Sepal.Length", "Petal.Length")))

## End(Not run)

dataquieR documentation built on May 29, 2024, 7:18 a.m.