render.sigr_Bernoulli_diff_test
Format sigr_Bernoulli_diff_test (test of difference of Bernoulli processes).
Format an AUC-test (quality of a probability score)
Format
Format an AUC-test (quality of a probability score)
Check a few things we expect to be true for the utility frame.
Estimate model utility
Calculate sum of squared error.
Perform AUC permutation test.
Format an F-test
Format an empirical test (quality of categorical prediction)
render.sigr_aucresamptest
Format an AUC-test (quality of a probability score)
Wrap AUC resampling test results.
Format cor.test (test of liner correlation).
Add ROC derived columns.
Detect rendering format (using knitr).
Format Cohen-D (effect size between groups)
sensitivity_from_specificity_q
Compute the q-graph.
sigr: Format Significance Summaries for Reports
sensitivity_and_specificity_s12p12n
Compute the shape1_pos, shape2_pos, shape1_neg, shape2_neg graph.
Format an empirical test (quality of categorical prediction)
Format fisher.test (test of categorical independence).
Calculate deviance.
find_matching_conditional_betas
Find beta shape parameters matching the conditional distributions.
Studentized bootstrap test of strength of scoreFn(yValues,model1Values) > scoreFn(yValues,model1Values).
Studentized bootstrap variance estimate for scoreFn(yValues,modelValues).
estimateDifferenceZeroCrossing
Studentized estimate of how often a difference is below zero.
Format quality of a logistic regression roughly in "APA Style"
( American Psychological Association ).
Wrap cor.test (test of liner correlation).
Wrap pwr test (difference in means by group).
Wrap binom.test (test of Binomial/Bernoulli rate).
Wrap binom.test (test of Binomial/Bernoulli rate).
Wrap Cohen's D (effect size between groups).
Wrap fisher.test (test of categorical independence).
Fit beta parameters from data.
Find area matching polynomial curve.
Empirical permutation test of significance of scoreFn(modelValues,yValues) >= scoreFn(modelValues,perm(yValues)).
Objects exported from other packages
Format ChiSqTest from model.
Wrap binom.test (test of Binomial/Bernoulli rate) from summary.
wrapFisherTest.data.frame
Wrap fisher.test (test of categorical independence).
Wrap F-test (significance identity relation).
Wrap quality of a categorical prediction roughly in "APA Style" ( American Psychological Association ).
Wrap fisher.test (test of categorical independence).
wrapChiSqTest.summary.glm
Format ChiSqTest from model summary.
Format a significance
Format a pwr-test
Wrap cor.test (test of liner correlation).
Wrap binom.test (test of Binomial/Bernoulli rate).
Test AUC pair results.
Format summary roughly in "APA Style" ( American Psychological Association ).
Print
Wrap t.test (difference in means by group).
Wrap a significance
Wrap pwr test.
Wrap t.test (difference in means by group).
Format binom.test (test of rate of a Binomial/Bernoulli experiment).
Format a chi-square test (quality of categorical prediction)
Wrap Cohen's D (effect size between groups).
Format a T-test (difference in means by group)
Format a Student-T tolerance-style interval around an estimate of a mean.
Wrap binom.test (test of Binomial/Bernoulli rate).
Wrap F-test (ratio of variances).
Format ChiSqTest from anova of logistic model.
Wrap quality statistic of identity r regression.
Format ChiSqTest from data.
Wrap t.test (difference in means by group).
Wrap t.test (difference in means by group).
Wrap binom.test (test of Binomial/Bernoulli rate).
Wrap quality statistic of a linear relation from anova.
Wrap cor.test (test of liner correlation).
Wrap quality statistic of a linear relation from ezANOVA (package ez).
Wrap Cohen's D (effect size between groups).
Wrap quality statistic of identity relation from data.
Wrap quality statistic of linear regression summary.
Wrap fisher.test (test of categorical independence).
Wrap F-test (significance of identity relation).
as.character.sigr_statistic
as.character
Compute the distribution of differences of replacement samples of two Binomial or Bernoulli experiments.
Wrap TInterval (test of Binomial/Bernoulli rate).
Student-T tolerance-style interval around an estimate of a mean from a data.frame.
Student-T tolerance-style interval around an estimate of a mean from summary.
calculate ROC curve.
Student-T tolerance-style interval around an estimate of a mean from observations.
calculate AUC.
Find beta-1 shape parameters matching the conditional distributions.
Find area matching polynomial curve.