back-projection analysis

Description Usage Arguments Details Value Author(s) See Also

Read various forms of input from the non-machine-friendly output format of Phillips' code for calculating common principal components

phillips.getvec(con, n=3, hdrlines = 1)
phillips.getmat(con, n=3, hdrlines = 1)
phillips.getsubmat(con, n=3)
phillips.getpmat(con, n, hdrlines = 1)
phillips.getcolonval(con)
phillips.getsection(con,hdrlines,ntests,
                                 nvar,
                                 ngrp,
                                 matvals=FALSE,
                                 grpevals=FALSE,
                                 grps=TRUE,
                                 nevecs=1,
verbose=FALSE)

`con`	a connection that is open for reading
`n`	(numeric) number of elements in vector or dimension of square matrix to read from file
`hdrlines`	(numeric) number of header lines to skip
`nvar`	number of variables
`ngrp`	number of groups
`ntests`	number of nested hypothesis tests in a section
`matvals`	does each matrix also have an associated scalar value (e.g. proportionality constants)?
`grpevals`	are there separate eigenvalues for each group?
`grps`	are there matrices for each group?
`nevecs`	how many eigenvectors are there to read?
`verbose`	print debugging information?

getvec() reads an n-element vector; getmat() reads an n-by-n matrix, with helper file getsubmat(); getpmat() reads a table representing a series of chi-square tests of hypotheses; getconline() reads a single parameter at the end of a line of text, delimited by a colon. getsection() gets a whole section.

A numeric vector or matrix or a matrix of chi-square, degrees of freedom, and p-values, as appropriate. getsection a list containing a criterion for equivalence (crit); number of parameters (par); a matrix of hypothesis tests (testmat); a set of eigenvalues evals; a set of eigenvector matrices (evecs); and a set of variance-covariance matrices (cov).

Ben Bolker

read.cpc

bbolker/cpcbp documentation built on May 11, 2019, 9:28 p.m.