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