get_mappings: Transforming a mapping (transition) table to two associative...
In Polkas/catTOcat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset
get_mappings R Documentation
Transforming a mapping (transition) table to two associative lists
Description
to rearrange the one classification encoding into another,
an associative list that maps keys to values is used.
More precisely, an association list is used which is a linked list in which
each list element consists of a key and value or values.
An association list where unique categories codes are keys and matching
categories from next or previous time point are values.
A mapping (transition) table is used to build such associative lists.
Usage
get_mappings(x = data.frame())
Arguments
x
'data.frame' or 'matrix' - mapping (transition) table with 2 columns
where first column is assumed to be the older encoding.
Value
a list with 2 named lists 'to_old' and 'to_new'.
Examples
data("trans", package = "cat2cat")
mappings <- get_mappings(trans)
mappings$to_old[1:4]
mappings$to_new[1:4]
Polkas/catTOcat documentation built on Jan. 26, 2024, 7:10 a.m.
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| get_mappings | R Documentation |
Transforming a mapping (transition) table to two associative lists
Description
to rearrange the one classification encoding into another, an associative list that maps keys to values is used. More precisely, an association list is used which is a linked list in which each list element consists of a key and value or values. An association list where unique categories codes are keys and matching categories from next or previous time point are values. A mapping (transition) table is used to build such associative lists.
Usage
get_mappings(x = data.frame())
Arguments
x |
'data.frame' or 'matrix' - mapping (transition) table with 2 columns where first column is assumed to be the older encoding. |
Value
a list with 2 named lists 'to_old' and 'to_new'.
Examples
data("trans", package = "cat2cat")
mappings <- get_mappings(trans)
mappings$to_old[1:4]
mappings$to_new[1:4]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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