jlsr.2010.ad

Seventeen Alzheimer's Patient-Spouse Dyads had conversations recorded and 58 attributes were recoded for this data. Each attribute is a frequency of occurence of the item.

datasets

A variety of descriptive multivariate analyses with the singular value decomposition,
such as principal components analysis, correspondence analysis, and multidimensional scaling.
See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Derek Beaton

ExPosition

Exploratory Analysis with the Singular Value Decomposition

jlsr.2010.ad function

jlsr.2010.ad$ca$data: Seventeen patient-spouse dyads (rows) described by 58 conversation items. For use with <code><a rd-options="" href="/link/epCA?package=ExPosition&version=2.8.23" data-mini-rdoc="ExPosition::epCA">epCA</a></code> and discriminant analyses.
jlsr.2010.ad$mca$design: A design matrix that indicates which group the dyad belongs to: control (CTRL), early stage Alzheimer's (EDAT) or middle stage Alzheimer's (MDAT).

Format

Data from 17 Alzheimer's Patient-Spouse dyads. — jlsr.2010.ad

jlsr.2010.ad$ca$data: Seventeen patient-spouse dyads (rows) described by 58 conversation items. For use with <code><a rd-options='' href='epCA'>epCA</a></code> and discriminant analyses.
jlsr.2010.ad$mca$design: A design matrix that indicates which group the dyad belongs to: control (CTRL), early stage Alzheimer's (EDAT) or middle stage Alzheimer's (MDAT).

jlsr.2010.ad: Data from 17 Alzheimer's Patient-Spouse dyads.

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