Succinct and Correct Statistical Summaries for Reports


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Documentation for package ‘sigr’ version 0.2.2

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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 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_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).