emerson.poly: Orthogonal polynomials

Description Usage Arguments Value Note Author(s) References Examples

View source: R/emerson.poly.R

Description

This function is called from the functions docabasic, socabasic, sonscabasic and donscabasic. It allows the analyst to compute the orthogonal polynomials of the ordered categorical variable. The number of the polynomials is equal to the variable category less one. The function computes the polynomial transformation of the ordered categorical variable.

Usage

1
emerson.poly(mj, pj)

Arguments

mj

The ordered scores of an ordered variable. By default mj = NULL, the natural scores (1,2,...) are computed.

pj

The marginals, relative frequencies of the ordered variable.

Value

Describe the value returned

B

the matrix of the orthogonal polynomials without the trivial polynomial.

Note

Note that the sum of the marginals of the ordered variables should be one.

Author(s)

Rosaria Lombardo and Eric J Beh

References

Beh EJ and Lombardo R 2014 Correspondence Analysis: Theory, Practice and New Strategies. John Wiley & Sons.
Emerson PL 1968 Numerical construction of orthogonal polynomials from a general recurrence formula. Biometrics, 24 (3), 695-701.
Lombardo R Beh EJ 2016 Variants of Simple Correspondence Analysis. The R Journal, 8 (2), 167–184.
Lombardo R Beh EJ and Kroonenberg PM 2016 Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials. Psychometrika, 81(2), 325-349.

Examples

1
emerson.poly(c(1,2,3,4,5), as.vector(c(.1,.2,.3,.2,.2)))

Example output

Loading required package: tools
$B
           [,1]       [,2]        [,3]       [,4]
[1,] -1.7614097  1.9490178 -1.32656790  0.5822225
[2,] -0.9607689 -0.1461763  1.30369604 -1.1644450
[3,] -0.1601282 -0.9745089  0.04574372  1.1644450
[4,]  0.6405126 -0.5359799 -1.39518348 -1.1644450
[5,]  1.4411534  1.1694107  0.68615581  0.2911113

$BT
     [,1]       [,2]       [,3]        [,4]       [,5]
[1,]    1 -1.7614097  1.9490178 -1.32656790  0.5822225
[2,]    1 -0.9607689 -0.1461763  1.30369604 -1.1644450
[3,]    1 -0.1601282 -0.9745089  0.04574372  1.1644450
[4,]    1  0.6405126 -0.5359799 -1.39518348 -1.1644450
[5,]    1  1.4411534  1.1694107  0.68615581  0.2911113

CAvariants documentation built on Sept. 21, 2018, 6:33 p.m.