common principal components/back-projection analysis


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Documentation for package ‘cpcbp’ version 0.3.2

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bp.anova Analysis of variance incorporating back-projection error
bp.contrasts Estimate back-projected contrasts
bp.error calculate back-projection errors
bp.fstats Extract statistics from ANOVA lists
bp.means Estimate back-projected means and standard deviations
bp.pvals Extract statistics from ANOVA lists
bp.vcov Variance-covariance matrices for back-projection coefficients
bpfun Flury back-projection matrix
bpmat Flury back-projection matrix
calc.cpcerr Calculate errors of CPC eigenvectors
coverfun Calculate error coverage
covmat construct variance-covariance matrix
cpc.options Set CPC calculation options
dbperr Distribution of F statistics corrected for back-projection error
makeSymmetric make a symmetrix matrix
meancorrect mean-correct a data matrix
nullFstats Simulate null hypothesis (size differences only)
nullsim Simulate null hypothesis (size differences only)
pbperr Distribution of F statistics corrected for back-projection error
phillips.cpc Run Phillips's CPC program from R
phillips.cpcvec Run Phillips's CPC program from R
phillips.getcolonval utility functions for reading output from Phillips' CPC program
phillips.getmat utility functions for reading output from Phillips' CPC program
phillips.getpmat utility functions for reading output from Phillips' CPC program
phillips.getsection utility functions for reading output from Phillips' CPC program
phillips.getsubmat utility functions for reading output from Phillips' CPC program
phillips.getvec utility functions for reading output from Phillips' CPC program
plot_dat.theor Plot multigroup data along with theoretical predictions
plot_multigrp plot grouped data
pooled.cpc Compute CPC by mean-correcting each group
qbperr Distribution of F statistics corrected for back-projection error
rbperr Distribution of F statistics corrected for back-projection error
read.cpc Run Phillips's CPC program from R
run.cpc Run Phillips's CPC program from R
sim.theor Generate theoretical values for back-projection exercises
simdata Simulate data for back-projection exercises
skip.blank.lines string utility functions
skip.pattern.lines string utility functions
strip.blanks string utility functions