checkUniqueness2: Check uniqueness of a variable.

In eatGADS: Data Management of Large Hierarchical Data

Check uniqueness of a variable.

Description

Function to check if a variable is unique for all cases of an identifier variable. This is a fast and more efficient version of checkUniqueness which always returns a logical, non missing value of length one.

Usage

checkUniqueness2(GADSdat, varName, idVar, impVar)

Arguments

GADSdat	GADSdat object imported via eatGADS.
varName	Single string containing the variable name for which the check should be performed.
idVar	Single string containing the name of the identifier variable.
impVar	Single string containing the name of the imputation number.

Details

For example if missing values are multiple imputed and data is stored in a long format, checking the uniqueness of a variable within an identifier can be tricky. This function automates this task via reshaping the data into wide format and testing equality among the reshaped variables. Similar functionality (via matrices) is covered by lme4::isNested, which is more general and performs similarly.

Value

Returns a logical of length one.

Examples

## create an example GADSdat
l <- 1000
long_df <- data.table::data.table(id = sort(rep(1:l, 15)),
                               v1 = sort(rep(1:l, 15)),
                                 imp = rep(1:15, l))
gads <- import_DF(long_df)
## check uniqueness
checkUniqueness2(gads, varName = "v1", idVar = "id", impVar = "imp")

eatGADS documentation built on Oct. 9, 2024, 5:09 p.m.