| vocabulary2CT {DistatisR} | R Documentation |
Transforms a data.frame of products by vocabulary of assessors into a products by words (from vocabulary) contingency table.
Description
vocabulary2CT
Transforms a data.frame of products by vocabulary
of assessors into 1)
a cube of 0/1 contingency tables (one per assessor); and 2)
a products by words (from vocabulary) contingency table.
In this contingency table, the number at the intersection
of a row (product) and a column (word) is the number
of assessors who used this word to describe that product.
@details the cube of 0/1 contingency tables
(i.e., cubeOfVocabulary can also be
analyzed with the package PTCA4CATA as a
pseudo Check All That Apply (CATA) data set.
Usage
vocabulary2CT(df.voc)
Arguments
df.voc |
a data frame with the vocabulary. In this data.frame each element stores the words used by one assessor to describe a product (words are separated with spaces); |
Value
a list with 1) cubeOfVocabulary:
a 0/1 array of dimension
products by words (from the vocabulary) by assessors
where each "products by vocabulary" slice gives the vocabulary
chosen by the assessor to describe the products; and
2)
CT.vocabulary a matrix storing the
products by words contingency table.
Author(s)
Herve Abdi
See Also
unnest_tokens
count
BeersProjectiveMapping
Examples
# Get the BeersProjectiveMapping example
data("BeersProjectiveMapping")
aContingenyTable <- vocabulary2CT(BeersProjectiveMapping$Vocabulary)