wurzer

The dataset is about the use of public Internet terminals. For this package we extracted a subset of 8 items.

datasets

Contains various functions for optimal scaling. One function performs optimal scaling by maximizing an aspect (i.e. a target function such as the sum of eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. Another function performs implements the LINEALS approach for optimal scaling by minimization of an aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as structural equation models.

Patrick Mair

aspect

A General Framework for Multivariate Analysis with Optimal
Scaling

Jan De Leeuw

wurzer function

A data frame (n = 215) with the following items:
Do you know at least one place where you can finnd such a terminal? (yes/no)
Have you already used such a terminal? (yes/no)
How often do you use the Internet on each of the following locations: home, work, cafe,
terminal, cellphone? (5-point scales; see below)
Which of the following descriptions fits you best? (I'm here on vacation/I am from here/I'm here on business travel)
The 5-point items we have the following categories: daily (1), almost daily (2), several times a
week (3), several times a month (3), once a month (4), less frequently (5).

wurzer: Internet terminals

Description

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Examples