cds: Constrained Dual Scaling for Detecting Response Styles
Version 1.0.3

This is an implementation of constrained dual scaling for detecting response styles in categorical data, including utility functions. The procedure involves adding additional columns to the data matrix representing the boundaries between the rating categories. The resulting matrix is then doubled and analyzed by dual scaling. One-dimensional solutions are sought which provide optimal scores for the rating categories. These optimal scores are constrained to follow monotone quadratic splines. Clusters are introduced within which the response styles can vary. The type of response style present in a cluster can be diagnosed from the optimal scores for said cluster, and this can be used to construct an imputed version of the data set which adjusts for response styles.

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AuthorPieter Schoonees [aut, cre]
Date of publication2016-01-05 14:29:39
MaintainerPieter Schoonees <schoonees@gmail.com>
LicenseGPL (>= 2)
Version1.0.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("cds")

Man pages

addbounds: Augment with Boundaries Between Rating Scale Categories and...
approxloads: Low Rank Approximation LL' of a Square Symmetrix Matrix R
calc.wt.bubbles: Calculate the Weights for Bubble Plots
cds: Constrained Dual Scaling for Successive Categories with...
cds-package: Constrained Dual Scaling for Successive Categories
cds.sim: Grouped Simulation with Response Styles
cdstoclue: S3 Methods for Integration into 'clue' Framework
clean.scales: Impute Optimal Scores for Rating Categories
createcdsdata: Create a cdsdata Object
create.ind: Create Indicator Matrix
create.rs: Create a response style
datsim: Simulate Data for a Single Response Style
gen.cop: Generate a Copula
genPCA: Generate PCA data and Calculates Correlation Matrices
group.ALS: Alternating Least Squares with Groups for Constrained Dual...
G.start: Constrained Dual Scaling for a Single Random G Start
indmat: Create an Indicator Matrix
ispline: Quadratic monotone spline basis function for given knots.
Lfun: Calculate Constrained Dual Scaling Loss
Lfun.G.upd: Calculate Loss for G Update
orthprocr: Orthogonal Procrustes Analysis
plot.cds: Plot cds Objects
plot.cdslist: Plot a 'cdslist' Object
print.cds: Print cds Object
print.cdsdata: Print dsdata Objects
rcormat: Randomly Generate Low-Rank Correlation Matrix
rcovmat: Construct a Structured Covariance Matrix for Simulations
sensory: sensory Data
sensory.aux: Auxiliary Information for 'sensory' Data
simpca: Simulate Data with a Specific Principal Components Structure...
trQnorm: Truncated Normal Quantiles
trRnorm: Truncated Normal Sampling
updateG: Update the Grouping Matrix

Functions

G.start Man page Source code
Lfun Man page Source code
Lfun.G.upd Man page Source code
addbounds Man page Source code
approxloads Man page Source code
calc.wt.bubbles Man page Source code
cds Man page Source code
cds-package Man page
cds.sim Man page Source code
cl_class_ids.cds Man page Source code
cl_class_ids.cdsdata Man page Source code
clean.scales Man page Source code
clean.scales.cds Man page Source code
clean.scales.cdslist Man page Source code
create.ind Man page Source code
create.rs Man page Source code
createcdsdata Man page Source code
datsim Man page Source code
gen.cop Man page Source code
genPCA Man page Source code
group.ALS Man page Source code
indmat Man page Source code
is.cl_hard_partition.cds Man page Source code
is.cl_hard_partition.cdsdata Man page Source code
is.cl_partition.cds Man page Source code
is.cl_partition.cdsdata Man page Source code
ispline Man page Source code
orthprocr Man page Source code
plot.cds Man page Source code
plot.cdslist Man page Source code
print.cds Man page Source code
print.cdsdata Man page Source code
rcormat Man page Source code
rcovmat Man page Source code
sensory Man page
sensory.aux Man page
simpca Man page Source code
trQnorm Man page Source code
trRnorm Man page Source code
updateG Man page Source code

Files

inst
inst/CITATION
NAMESPACE
data
data/sensory.aux.RData
data/sensory.RData
R
R/Lfun.R
R/cds.sim.R
R/rcormat.R
R/create.rs.R
R/G.start.R
R/clean.scales.cdslist.R
R/sensory.aux.R
R/trQnorm.R
R/sensory.R
R/datsim.R
R/rcovmat.R
R/plot.cds.R
R/plot.cdslist.R
R/Lfun.G.upd.R
R/cds-package.R
R/clean.scales.R
R/indmat.R
R/orthprocr.R
R/group.ALS.R
R/clean.scales.cds.R
R/cdstoclue.R
R/approxloads.R
R/create.ind.R
R/updateG.R
R/print.cds.R
R/trRnorm.R
R/simpca.R
R/createcdsdata.R
R/print.cdsdata.R
R/ispline.R
R/cds.R
R/gen.cop.R
R/genPCA.R
R/calc.wt.bubbles.R
R/addbounds.R
MD5
DESCRIPTION
man
man/simpca.Rd
man/genPCA.Rd
man/plot.cds.Rd
man/updateG.Rd
man/indmat.Rd
man/clean.scales.Rd
man/createcdsdata.Rd
man/trRnorm.Rd
man/addbounds.Rd
man/plot.cdslist.Rd
man/cds-package.Rd
man/Lfun.G.upd.Rd
man/create.ind.Rd
man/sensory.Rd
man/Lfun.Rd
man/print.cdsdata.Rd
man/datsim.Rd
man/trQnorm.Rd
man/G.start.Rd
man/calc.wt.bubbles.Rd
man/gen.cop.Rd
man/create.rs.Rd
man/sensory.aux.Rd
man/cdstoclue.Rd
man/rcormat.Rd
man/print.cds.Rd
man/cds.sim.Rd
man/orthprocr.Rd
man/group.ALS.Rd
man/cds.Rd
man/approxloads.Rd
man/rcovmat.Rd
man/ispline.Rd
cds documentation built on May 29, 2017, 6:52 p.m.