mixedScience: Simulated data from a normal distribution added to the...

In pcaPA: Parallel Analysis for Ordinal and Numeric Data using Polychoric and Pearson Correlations with S3 Classes

Description

Mixed ordered (Science dataset from package "ltm" coming from the Consumer Protection and Perceptions of Science and Technology section of the 1992 Euro-Barometer Survey) and continuous (simulated from a normal distribution) data.

Usage

data(mixedScience)

Format

A data frame with 392 observations on the following 12 variables:

Comfort

an ordered factor with levels strongly disagree < disagree < agree < strongly agree

Environment

an ordered factor with levels strongly disagree < disagree < agree < strongly agree

Work

an ordered factor with levels strongly disagree < disagree < agree < strongly agree

Future

an ordered factor with levels strongly disagree < disagree < agree < strongly agree

Technology

an ordered factor with levels strongly disagree < disagree < agree < strongly agree

Industry

an ordered factor with levels strongly disagree < disagree < agree < strongly agree

Benefit

an ordered factor with levels strongly disagree < disagree < agree < strongly agree

X1

a numeric vector

X2

a numeric vector

X3

a numeric vector

X4

a numeric vector

X5

a numeric vector

References

Karlheinz, R. and Melich, A. (1992). Euro-Barometer 38.1: Consumer Protection and Perceptions of Science and Technology. INRA (Europe), Brussels. [computer file]

Rizopoulos, D. (2006). ltm: An R package for Latent Variable Modelling and Item Response Theory Analyses. Journal of Statistical Software, 17(5), 1–25.

Examples

# # NOT RUN
# data(mixedScience)
# mixedPA <- PA(mixedScience, percentiles = c(0.90, 0.99), nReplicates = 200,
#               type = "mixed")
# print(mixedPA)

pcaPA documentation built on May 29, 2017, 6:53 p.m.