car2: Judgements on associations between car models and car...
In plfm: Probabilistic Latent Feature Analysis
car2 R Documentation
Judgements on associations between car models and car attributes
Description
The data consist of the binary judgements of 147 respondents about the association between each of 12 car models and each of 23 car attributes.
Usage
data(car2)
Format
The data consist of a list of 5 objects:
data3w: A 147 X 12 X 23 array of binary judgements. The observation in cell (i,j,k) equals 1 if respondent i indicates that car j has
attribute k, and 0 otherwise.
freq1: A 12 X 23 matrix of frequencies. The frequency in cell (j,k) indicates how many of 147 respondents
indicate an association between car model j and attribute k.
freqtot: A 12 X 23 matrix of frequencies. The frequency in cell (j,k) indicates the total number of respondents
who judged the car-attribute pair (j,k).
Source
M\"ahler, R. (2014). Analyse van perceptie en preferentie van middelgrote wagens. [translation from Dutch: Analysis of perception and preference for midsize cars.]
Master thesis. KU Leuven.
References
Meulders, M. and De Bruecker, P. (2018). Latent class probabilistic latent feature analysis of three-way three-mode binary data.
Journal of Statistical Software, 87(1), 1-45.
plfm documentation built on March 30, 2022, 5:08 p.m.
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| car2 | R Documentation |
Judgements on associations between car models and car attributes
Description
The data consist of the binary judgements of 147 respondents about the association between each of 12 car models and each of 23 car attributes.
Usage
data(car2)
Format
The data consist of a list of 5 objects:
data3w: A 147 X 12 X 23 array of binary judgements. The observation in cell (i,j,k) equals 1 if respondent i indicates that car j has attribute k, and 0 otherwise.
freq1: A 12 X 23 matrix of frequencies. The frequency in cell (j,k) indicates how many of 147 respondents indicate an association between car model j and attribute k.
freqtot: A 12 X 23 matrix of frequencies. The frequency in cell (j,k) indicates the total number of respondents who judged the car-attribute pair (j,k).
Source
M\"ahler, R. (2014). Analyse van perceptie en preferentie van middelgrote wagens. [translation from Dutch: Analysis of perception and preference for midsize cars.] Master thesis. KU Leuven.
References
Meulders, M. and De Bruecker, P. (2018). Latent class probabilistic latent feature analysis of three-way three-mode binary data. Journal of Statistical Software, 87(1), 1-45.
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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