duplicated-labels: Check for and report duplicated labels

In memisc: Management of Survey Data and Presentation of Analysis Results

Check for and report duplicated labels

Description

The function duplicated_labels can be used with "item" objects, "importer" objects or "data.set" objects to check whether items contain duplicate labels, i.e. labels that are attached to more than one code.

Usage

duplicated_labels(x)
## S3 method for class 'item'
duplicated_labels(x)
# Applicable to 'importer' objects and 'data.set' objects
## S3 method for class 'item.list'
duplicated_labels(x)

Arguments

x	an item with value labels or that contains items with value labels

Value

The function duplicate.labels returns a list with a class attribute, which allows pretty printing of duplicated value labels

Examples

x1 <- as.item(rep(1:5,4),
              labels=c(
                  A = 1,
                  A = 2,
                  B = 3,
                  B = 4,
                  C = 5
              ),
              annotation = c(
                  description="Yet another test"
))
              
x2 <- as.item(rep(1:4,5),
              labels=c(
                  i   = 1,
                  ii  = 2,
                  iii = 3,
                  iii = 4
                  ),
              annotation = c(
                  description="Still another test"
))

x3 <- as.item(rep(1:2,10),
              labels=c(
                  a = 1,
                  b = 2
                  ),
              annotation = c(
                  description="Still another test"
))
                            
duplicated_labels(x1)
ds <- data.set(x1,x2,x3)
duplicated_labels(ds)
codebook(ds)

nes1948.por <- unzip(system.file("anes/NES1948.ZIP",package="memisc"),
                     "NES1948.POR",exdir=tempfile())
nes1948 <- spss.portable.file(nes1948.por)
duplicated_labels(nes1948)             

memisc documentation built on March 31, 2023, 7:29 p.m.