items

From memisc v0.99.27.3 by Martin Elff

Survey Items

Objects of class item are data vectors with additional information attached to them like ``value labels'' and ``user-defined missing values'' known from software packages like SPSS or Stata.

The class item is intended to facilitate data management of survey data. Objects in this class should not directly used in data analysis. Instead they should changed into "ordinary" vectors or factors before. For this see the documentation for as.vector,item-method.

Keywords: manip

Usage

## The constructor for objects of class "item"
## more convenient than new("item",...)
# S4 method for numeric
as.item(x,
  labels=NULL,  missing.values=NULL,
  valid.values=NULL,  valid.range=NULL,
  value.filter=NULL,  measurement=NULL,
  annotation=attr(x,"annotation"), …
  )
# S4 method for character
as.item(x,
  labels=NULL,  missing.values=NULL,
  valid.values=NULL,  valid.range=NULL,
  value.filter=NULL,  measurement=NULL,
  annotation=attr(x,"annotation"), …
  )
# S4 method for logical
as.item(x,…)
# x is first coerced to integer,
# arguments in ... are then passed to the "numeric"
# method.
# S4 method for factor
as.item(x,…)
# S4 method for ordered
as.item(x,…)
# S4 method for POSIXct
as.item(x,…)
# S4 method for double.item
as.item(x,
  labels=NULL,  missing.values=NULL,
  valid.values=NULL,  valid.range=NULL,
  value.filter=NULL,  measurement=NULL,
  annotation=attr(x,"annotation"), …
  )
# S4 method for integer.item
as.item(x,
  labels=NULL,  missing.values=NULL,
  valid.values=NULL,  valid.range=NULL,
  value.filter=NULL,  measurement=NULL,
  annotation=attr(x,"annotation"), …
  )
# S4 method for character.item
as.item(x,
  labels=NULL,  missing.values=NULL,
  valid.values=NULL,  valid.range=NULL,
  value.filter=NULL,  measurement=NULL,
  annotation=attr(x,"annotation"), …
  )
# S4 method for datetime.item
as.item(x,
  labels=NULL,  missing.values=NULL,
  valid.values=NULL,  valid.range=NULL,
  value.filter=NULL,  measurement=NULL,
  annotation=attr(x,"annotation"), …
  )

Arguments

x: for as.item methods, any atomic vector; for the unique, summary, str, print, [, and <- methods, a vector with class labelled.
labels: a named vector of the same mode as x.
missing.values: either a vector of the same mode as x, or a list with components "values", vector of the same mode as x (which defines individual missing values) and "range" a matrix with two rows with the same mode as x (which defines a range of missing values), or an object of class "missing.values".
valid.values: either a vector of the same mode as x, defining those values of x that are to be considered as valid, or an object of class "valid.values".
valid.range: either a vector of the same mode as x and length 2, defining a range of valid values of x, or an object of class "valid.range".
value.filter: an object of class "value.filter", that is, of classes "missing.values", "valid.values", or "valid.range".
measurement: level of measurement; one of "nominal", "ordinal", "interval", or "ratio".
annotation: a named character vector, or an object of class "annotation"
…: further arguments, ignored.

Aliases

item
items
item-class
item.vector-class
integer.item-class
double.item-class
numeric.item-class
character.item-class
datetime.item-class
Date.item-class
as.item
as.item,numeric-method
as.item,logical-method
as.item,character-method
as.item,factor-method
as.item,ordered-method
as.item,POSIXct-method
as.item,Date-method
as.item,double.item-method
as.item,integer.item-method
as.item,character.item-method
as.item,datetime.item-method
as.item,Date.item-method
[,item.vector,numeric,missing,missing-method
[,item.vector,logical,missing,missing-method
[,datetime.item,numeric,missing,missing-method
[,datetime.item,logical,missing,missing-method
str.double.item
str.integer.item
str.character.item
str.datetime.item
unique,item.vector-method
summary,item.vector-method
summary,datetime.item-method
summary,Date.item-method
format,item.vector-method
show,item.vector-method
format,datetime.item-method
format,Date.item-method
show,datetime.item-method
show,Date.item-method
print,item.vector-method
print,datetime.item-method
print,Date.item-method
Compare,numeric.item,character-method
Compare,character,numeric.item-method
Arith,numeric.item,numeric.item-method
Arith,numeric.item,numeric-method
Arith,numeric,numeric.item-method
Math,numeric.item-method
Math2,numeric.item-method
Summary,numeric.item-method
%in%,numeric.item,character-method
rep,item.vector-method
weighted.mean,item.vector-method

Examples

# NOT RUN {
  x <- as.item(rep(1:5,4),
      labels=c(
          "First"      = 1,
          "Second"     = 2,
          "Third"      = 3,
          "Fourth"     = 4,
          "Don't know" = 5
        ),
      missing.values=5,
      annotation = c(
        description="test"
      ))
  str(x)
  summary(x)
  as.numeric(x)

  test <- as.item(rep(1:6,2),labels=structure(1:6,
                                      names=letters[1:6]))
  test
  test == 1
  test != 1
  test == "a"
  test != "a"
  test == c("a","z")
  test != c("a","z")
  test 
# }
# NOT RUN {
<!-- %in% 1:3 -->
# }
# NOT RUN {
  test 
# }
# NOT RUN {
<!-- %in% c("a","c") -->
# }
# NOT RUN {
  codebook(test)

  Test <- as.item(rep(letters[1:6],2),
                    labels=structure(letters[1:6],
                                     names=LETTERS[1:6]))
  Test
  Test == "a"
  Test != "a"
  Test == "A"
  Test != "A"
  Test == c("a","z")
  Test != c("a","z")
  Test 
# }
# NOT RUN {
<!-- %in% c("A","C") -->
# }
# NOT RUN {
  Test 
# }
# NOT RUN {
<!-- %in% c("a","c") -->
# }
# NOT RUN {
  as.factor(test)
  as.factor(Test)
  as.numeric(test)
  as.character(test)
  as.character(Test)

  as.data.frame(test)[[1]]
# }

Documentation reproduced from package memisc, version 0.99.27.3, License: GPL-2

Community examples

Looks like there are no examples yet.