All functions

Bernoulli_diff_stat()

Compute the distribution of differences of replacement samples of two Binomial or Bernoulli experiments.

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.

add_ROC_derived_columns()

Add ROC derived columns.

as.character(<sigr_statistic>)

as.character

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_AUC_q()

Find area matching polynomial curve.

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.

find_area_q()

Find area matching polynomial curve.

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_Bernoulli_diff_test>)

Format sigr_Bernoulli_diff_test (test of difference of Bernoulli processes).

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_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.

run_sigr_tests()

Run sigr package tests.

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.

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).

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.

wrapFTestImpl()

Wrap F-test (significance of identity relation).

wrapFTestezANOVA()

Wrap quality statistic of a linear relation from ezANOVA (package ez).

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).

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).