csrranking

<p>This dataset collects rankings of 100 individual on 5 topics that reflect social responsibilties on corporations.</p>

datasets

Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.

Patrick Mair

smacof

Multidimensional Scaling

Jan De Leeuw

Patrick J. F. Groenen

Ingwer Borg

csrranking function

<p>A data frame where each individual ranked prevention of environmental pollution (Environment), waste prevention (Waste Prevention),  selling organic products (Organic Products), participating on charity programs (Charity), and fair treatment of employees (Employee) according to its own preferences. A value of 1 corresponds to highest importance, 5 to lowest importance.</p>

Format

CSR activities — csrranking

CSR activities

csrranking: CSR activities

Description

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Examples