dropDuplicateIDs: Drop duplicate IDs in a 'GADSdat'.

In eatGADS: Data Management of Large Hierarchical Data

Drop duplicate IDs in a GADSdat.

Description

Drop rows with duplicate IDs in a GADSdat object based on numbers of missing values.

Usage

dropDuplicateIDs(GADSdat, ID, varNames = setdiff(namesGADS(GADSdat), ID))

Arguments

GADSdat	A GADSdat object.
ID	Name of the ID variable.
varNames	Character vector of variable names: Sum of missing values on these variables decide which rows are kept. Per default, all variables except the ID variable are used.

Details

If duplicate IDs occur, it is often desirable to keep the row with the least missing information. Therefore, dropDuplicateIDs drops rows based on number of missing values on the specified variables (varNames).

If multiple rows have the same number of missing values, a warning is issued and the first of the respective rows is kept.

Value

Returns the GADSdat with duplicate ID rows removed.

Examples

# create example data set
gads_ori <- import_DF(data.frame(id_var = c(1, 2, 5, 4, 4),
  var1 = c(1, 2, -99, 1, -99)))
gads_ori <- changeMissings(gads_ori, varName = "var1",
  value = -99, missings = "miss")

# drop duplicate IDs
dropDuplicateIDs(gads_ori, ID = "id_var")

eatGADS documentation built on June 8, 2025, 12:42 p.m.