sigr-package | sigr: Format Significance Summaries for Reports |
calcAUC | calculate AUC. |
calcDeviance | Calculate deviance. |
calcSSE | Calculate sum of squared error. |
estimateDifferenceZeroCrossing | Studentized estimate of how often a difference is below zero. |
getRenderingFormat | Detect rendering format (using knitr). |
permTestAUC | Perform AUC permutation test. |
permutationScoreModel | Empirical permuation test of significance of scoreFn(modelValues,yValues) >= scoreFn(modelValues,perm(yValues)). |
print.sigr_statistic | |
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_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 categorial indendence). |
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_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. |
sigr | sigr: Format Significance Summaries for Reports |
testAUCpair | Test AUC pair results. |
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 categorial indendence). |
wrapFisherTest.data.frame | Wrap fisher.test (test of categorial indendence). |
wrapFisherTest.htest | Wrap fisher.test (test of categorial indendence). |
wrapFisherTest.table | Wrap fisher.test (test of categorial indendence). |
wrapFTest | Wrap F-test (significane of a linear relation). |
wrapFTest.anova | Wrap quality statistic of a linear relation from anova. |
wrapFTest.data.frame | Wrap quality statistic of a linear relation from data. |
wrapFTest.lm | Wrap quality statistic of a linear regression. |
wrapFTest.summary.lm | Wrap quality statistic of a linear regression summary. |
wrapFTestezANOVA | Wrap quality statistic of a linear relation from ezANOVA (package ez). |
wrapFTestImpl | Wrap F-test (significane of a linear 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). |