Succinct and Correct Statistical Summaries for Reports

Documentation for package ‘sigr’ version 1.1.5

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).