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). |