R: Succinct and Correct Statistical Summaries for Reports

# Succinct and Correct Statistical Summaries for Reports

## Documentation for package ‘sigr’ version 1.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

sigr-package | sigr: Format Significance Summaries for Reports
add_ROC_derived_columns | Add ROC derived columns.
as.character.sigr_statistic | as.character
Bernoulli_diff_stat | Compute the distribution of differences of replacement samples of two Binomial or Bernoulli experiments.
build_ROC_curve | calculate ROC curve.
calcAUC | calculate AUC.
calcDeviance | Calculate deviance.
calcSSE | Calculate sum of squared error.
estimateDifferenceZeroCrossing | Studentized estimate of how often a difference is below zero.
find_area_q | Find area matching polynomial curve.
find_AUC_q | Find area matching polynomial curve.
find_matching_a1_1b | Find beta-1 shape parameters matching the conditional distributions.
find_matching_conditional_betas | Find beta shape parameters matching the conditional distributions.
find_ROC_matching_ab | Find beta shape parameters matching the conditional distributions.
find_ROC_matching_ab1 | Find beta-1 shape parameters matching the conditional distributions.
fit_beta_shapes | Fit beta parameters from data.
format.sigr_statistic | Format
getRenderingFormat | Detect rendering format (using knitr).
model_utility | Estimate model utility
permTestAUC | Perform AUC permutation test.
permutationScoreModel | Empirical permutation test of significance of scoreFn(modelValues,yValues) >= scoreFn(modelValues,perm(yValues)).
print.sigr_statistic | Print
render | Format summary roughly in "APA Style" ( American Psychological Association ).
render.sigr_aucpairtest | Format an AUC-test (quality of a probability score)
render.sigr_aucpermtest | Format an AUC-test (quality of a probability score)
render.sigr_aucresamptest | Format an AUC-test (quality of a probability score)
render.sigr_Bernoulli_diff_test | Format sigr_Bernoulli_diff_test (test of difference of Bernoulli processes).
render.sigr_binomtest | Format binom.test (test of rate of a Binomial/Bernoulli experiment).
render.sigr_chisqtest | Format a chi-square test (quality of categorical prediction)
render.sigr_cohend | Format Cohen-D (effect size between groups)
render.sigr_cortest | Format cor.test (test of liner correlation).
render.sigr_emptest | Format an empirical test (quality of categorical prediction)
render.sigr_fishertest | Format fisher.test (test of categorical independence).
render.sigr_ftest | Format an F-test
render.sigr_permtest | Format an empirical test (quality of categorical prediction)
render.sigr_pwr_htest | Format a pwr-test
render.sigr_significance | Format a significance
render.sigr_tinterval | Format a Student-T tolerance-style interval around an estimate of a mean.
render.sigr_ttest | Format a T-test (difference in means by group)
resampleScoreModel | Studentized bootstrap variance estimate for scoreFn(yValues,modelValues).
resampleScoreModelPair | Studentized bootstrap test of strength of scoreFn(yValues,model1Values) > scoreFn(yValues,model1Values).
resampleTestAUC | Wrap AUC resampling test results.
sensitivity_and_specificity_s12p12n | Compute the shape1_pos, shape2_pos, shape1_neg, shape2_neg graph.
sensitivity_from_specificity_q | Compute the q-graph.
sigr | sigr: Format Significance Summaries for Reports
testAUCpair | Test AUC pair results.
TInterval | Wrap TInterval (test of Binomial/Bernoulli rate).
TInterval.data.frame | Student-T tolerance-style interval around an estimate of a mean from a data.frame.
TInterval.numeric | Student-T tolerance-style interval around an estimate of a mean from observations.
TIntervalS | Student-T tolerance-style interval around an estimate of a mean from summary.
wrapBinomTest | Wrap binom.test (test of Binomial/Bernoulli rate).
wrapBinomTest.data.frame | Wrap binom.test (test of Binomial/Bernoulli rate).
wrapBinomTest.htest | Wrap binom.test (test of Binomial/Bernoulli rate).
wrapBinomTest.logical | Wrap binom.test (test of Binomial/Bernoulli rate).
wrapBinomTest.numeric | Wrap binom.test (test of Binomial/Bernoulli rate).
wrapBinomTestS | Wrap binom.test (test of Binomial/Bernoulli rate) from summary.
wrapChiSqTest | Wrap quality of a categorical prediction roughly in "APA Style" ( American Psychological Association ).
wrapChiSqTest.anova | Format ChiSqTest from anova of logistic model.
wrapChiSqTest.data.frame | Format ChiSqTest from data.
wrapChiSqTest.glm | Format ChiSqTest from model.
wrapChiSqTest.summary.glm | Format ChiSqTest from model summary.
wrapChiSqTestImpl | Format quality of a logistic regression roughly in "APA Style" ( American Psychological Association ).
wrapCohenD | Wrap Cohen's D (effect size between groups).
wrapCohenD.data.frame | Wrap Cohen's D (effect size between groups).
wrapCohenD.numeric | Wrap Cohen's D (effect size between groups).
wrapCorTest | Wrap cor.test (test of liner correlation).
wrapCorTest.data.frame | Wrap cor.test (test of liner correlation).
wrapCorTest.htest | Wrap cor.test (test of liner correlation).
wrapFisherTest | Wrap fisher.test (test of categorical independence).
wrapFisherTest.data.frame | Wrap fisher.test (test of categorical independence).
wrapFisherTest.htest | Wrap fisher.test (test of categorical independence).
wrapFisherTest.table | Wrap fisher.test (test of categorical independence).
wrapFTest | Wrap F-test (significance identity relation).
wrapFTest.anova | Wrap quality statistic of a linear relation from anova.
wrapFTest.data.frame | Wrap quality statistic of identity relation from data.
wrapFTest.htest | Wrap F-test (ratio of variances).
wrapFTest.lm | Wrap quality statistic of identity r regression.
wrapFTest.summary.lm | Wrap quality statistic of linear regression summary.
wrapFTestezANOVA | Wrap quality statistic of a linear relation from ezANOVA (package ez).
wrapFTestImpl | Wrap F-test (significance of identity relation).
wrapPWR | Wrap pwr test (difference in means by group).
wrapPWR.power.htest | Wrap pwr test.
wrapSignificance | Wrap a significance
wrapTTest | Wrap t.test (difference in means by group).
wrapTTest.data.frame | Wrap t.test (difference in means by group).
wrapTTest.htest | Wrap t.test (difference in means by group).
wrapTTest.numeric | Wrap t.test (difference in means by group).