memisc (version 0.99.22)

annotations: Adding Annotations to Objects

Description

Annotations, that is, objects of class "annotation", are character vectors with all their elements named. Only one method is defined for this subclass of character vectors, a method for show, that shows the annotation in a nicely formatted way. Annotations of an object can be obtained via the function annotation(x) and can be set via annotation(x)<-value.

Elements of an annotation with names "description" and "wording" have a special meaning. The first kind can be obtained and set via description(x) and description(x)<-value, the second kind can be obtained via wording(x) and wording(x)<-value. "description" elements are used in way the "variable labels" are used in SPSS and Stata. "wording" elements of annotation objects are meant to contain the question wording of a questionnaire item represented by an "item" objects. These elements of annotations are treated in a special way in the output of the coodbook function.

Usage

annotation(x)
# S4 method for ANY
annotation(x)
# S4 method for item
annotation(x)
# S4 method for data.set
annotation(x)
annotation(x)<-value
# S4 method for ANY,character
annotation(x)<-value
# S4 method for ANY,annotation
annotation(x)<-value
# S4 method for item,annotation
annotation(x)<-value
# S4 method for vector,annotation
annotation(x)<-value
description(x)
description(x)<-value
wording(x)
wording(x)<-value
# S4 method for data.set
description(x)
# S4 method for importer
description(x)

Arguments

x

an object

value

a character or annotation object

Value

annotation(x) returns an object of class "annotation", which is a named character. description(x) and wording(x) each usually return a character string. If description(x) is applied to a data.set or an importer object, however, a character vector is returned, which is named after the variables in the data set or the external file.

Examples

# NOT RUN {
vote <- sample(c(1,2,3,8,9,97,99),size=30,replace=TRUE)
labels(vote) <- c(Conservatives         =  1,
                    Labour                =  2,
                    "Liberal Democrats"   =  3,
                    "Don't know"          =  8,
                    "Answer refused"      =  9,
                    "Not applicable"      = 97,
                    "Not asked in survey" = 99
                    )
missing.values(vote) <- c(97,99)
description(vote) <- "Vote intention"
wording(vote) <- "If a general election would take place next tuesday,
                    the candidate of which party would you vote for?"
annotation(vote)
annotation(vote)["Remark"] <- "This is not a real questionnaire item, of course ..."
codebook(vote)
# }