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 |