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ccrs  

Correct and Cluster Response Style Biased Data
View on CRAN: Click here


Download and install ccrs package within the R console
Install from CRAN:
install.packages("ccrs")

Install from Github:
library("remotes")
install_github("cran/ccrs")

Install by package version:
library("remotes")
install_version("ccrs", "0.1.0")



Attach the package and use:
library("ccrs")
Maintained by
Mariko Takagishi
[Scholar Profile | Author Map]
First Published: 2019-03-04
Latest Update: 2019-03-04
Description:
Functions for performing Correcting and Clustering response-style-biased preference data (CCRS). The main functions are correct.RS() for correcting for response styles, and ccrs() for simultaneously correcting and content-based clustering. The procedure begin with making rank-ordered boundary data from the given preference matrix using a function called create.ccrsdata(). Then in correct.RS(), the response style is corrected as follows: the rank-ordered boundary data are smoothed by I-spline functions, the given preference data are transformed by the smoothed functions. The resulting data matrix, which is considered as bias-corrected data, can be used for any data analysis methods. If one wants to cluster respondents based on their indicated preferences (content-based clustering), ccrs() can be applied to the given (response-style-biased) preference data, which simultaneously corrects for response styles and clusters respondents based on the contents. Also, the correction result can be checked by plot.crs() function.
How to cite:
Mariko Takagishi (2019). ccrs: Correct and Cluster Response Style Biased Data. R package version 0.1.0, https://cran.r-project.org/web/packages/ccrs. Accessed 10 Apr. 2025.
Previous versions and publish date:
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