Package index • statpsych

Confidence intervals

Confidence intervals for different effect sizes and designs

ci.2x2.mean.bs(): Computes tests and confidence intervals of effects in a 2x2 between-subjects design for means

ci.2x2.mean.mixed(): Computes tests and confidence intervals of effects in a 2x2 mixed design for means

ci.2x2.mean.ws(): Computes tests and confidence intervals of effects in a 2x2 within-subjects design for means

ci.2x2.median.bs(): Computes tests and confidence intervals of effects in a 2x2 between-subjects design for medians

ci.2x2.median.mixed(): Computes confidence intervals in a 2x2 mixed design for medians

ci.2x2.median.ws(): Computes confidence intervals of effects in a 2x2 within-subjects design for medians

ci.2x2.prop.bs(): Computes tests and confidence intervals of effects in a 2x2 between- subjects design for proportions

ci.2x2.prop.mixed(): Computes tests and confidence intervals of effects in a 2x2 mixed design for proportions

ci.2x2.stdmean.bs(): Computes confidence intervals of standardized effects in a 2x2 between-subjects design

ci.2x2.stdmean.mixed(): Computes confidence intervals of standardized effects in a 2x2 mixed design

ci.2x2.stdmean.ws(): Computes confidence intervals of standardized effects in a 2x2 within-subjects design

ci.agree.3rater(): Computes confidence intervals for a 3-rater design with dichotomous ratings

ci.agree(): Confidence interval for a G-index of agreement

ci.agree2(): Confidence interval for G-index difference in a 2-group design

ci.bayes.cor(): Bayesian credible interval for a Pearson or partial correlation with a skeptical prior

ci.bayes.normal(): Bayesian credible interval for a normal prior distribution

ci.bayes.prop(): Bayesian credible interval for a proportion

ci.bayes.spcor(): Bayesian credible interval for a semipartial correlation with a skeptical prior

ci.biphi(): Confidence interval for a biserial-phi correlation

ci.bscor(): Confidence interval for a biserial correlation

ci.cod(): Confidence interval for a coefficient of dispersion

ci.condslope.log(): Confidence intervals for conditional (simple) slopes in a logistic model

ci.condslope(): Confidence intervals for conditional (simple) slopes in a linear model

ci.cor.dep(): Confidence interval for a difference in dependent Pearson correlations

ci.cor(): Confidence interval for a Pearson or partial correlation

ci.cor2.gen(): Confidence interval for a 2-group correlation difference

ci.cor2(): Confidence interval for a 2-group Pearson correlation difference

ci.cqv(): Confidence interval for a coefficient of quartile variation

ci.cramer(): Confidence interval for Cramer's V

ci.cronbach(): Confidence interval for a Cronbach reliability

ci.cronbach2(): Confidence interval for a difference in Cronbach reliabilities in a 2-group design

ci.cv(): Confidence interval for a coefficient of variation

ci.etasqr(): Confidence interval for eta-squared

ci.fisher(): Fisher confidence interval

ci.indirect(): Confidence interval for an indirect effect

ci.kappa(): Confidence interval for two kappa reliability coefficients

ci.lc.gen.bs(): Confidence interval for a linear contrast of parameters in a between-subjects design

ci.lc.glm(): Confidence interval for a linear contrast of general linear model parameters

ci.lc.mean.bs(): Confidence interval for a linear contrast of means in a between-subjects design

ci.lc.median.bs(): Confidence interval for a linear contrast of medians in a between-subjects design

ci.lc.prop.bs(): Confidence interval for a linear contrast of proportions in a between- subjects design

ci.lc.reg(): Confidence interval for a linear contrast of regression coefficients in multiple group regression model

ci.lc.stdmean.bs(): Confidence interval for a standardized linear contrast of means in a between-subjects design

ci.lc.stdmean.ws(): Confidence interval for a standardized linear contrast of means in a within-subjects design

ci.mad(): Confidence interval for a mean absolute deviation

ci.mann(): Confidence interval for a Mann-Whitney parameter

ci.mape(): Confidence interval for a mean absolute prediction error

ci.mean.fpc(): Confidence interval for a mean with a finite population correction

ci.mean.ps(): Confidence interval for a paired-samples mean difference

ci.mean(): Confidence interval for a mean

ci.mean2(): Confidence interval for a 2-group mean difference

ci.median.ps(): Confidence interval for a paired-samples median difference

ci.median(): Confidence interval for a median

ci.median2(): Confidence interval for a 2-group median difference

ci.oddsratio(): Confidence interval for an odds ratio

ci.pairs.mult(): Confidence intervals for pairwise proportion differences of a multinomial variable

ci.pairs.prop.bs(): Bonferroni confidence intervals for all pairwise proportion differences in a between-subjects design

ci.pbcor(): Confidence intervals for point-biserial correlations

ci.phi(): Confidence interval for a phi correlation

ci.poisson(): Confidence interval for a Poisson rate

ci.popsize(): Confidence interval for an unknown population size

ci.prop.fpc(): Confidence interval for a proportion with a finite population correction

ci.prop.inv(): Confidence interval for a proportion using inverse sampling

ci.prop.ps(): Confidence interval for a paired-samples proportion difference

ci.prop(): Confidence intervals for a proportion

ci.prop2.inv(): Confidence interval for a 2-group proportion difference using inverse sampling

ci.prop2(): Confidence interval for a 2-group proportion difference

ci.pv(): Confidence intervals for positive and negative predictive values with retrospective sampling

ci.random.anova(): Confidence intervals for parameters of one-way random effects ANOVA

ci.ratio.cod2(): Confidence interval for a ratio of dispersion coefficients in a 2-group design

ci.ratio.cv2(): Confidence interval for a ratio of coefficients of variation in a 2-group design

ci.ratio.mad.ps(): Confidence interval for a paired-samples MAD ratio

ci.ratio.mad2(): Confidence interval for a 2-group ratio of mean absolute deviations

ci.ratio.mape2(): Confidence interval for a ratio of mean absolute prediction errors in a 2-group design

ci.ratio.mean.ps(): Confidence interval for a paired-samples mean ratio

ci.ratio.mean2(): Confidence interval for a 2-group mean ratio

ci.ratio.median.ps(): Confidence interval for a paired-samples median ratio

ci.ratio.median2(): Confidence interval for a 2-group median ratio

ci.ratio.poisson2(): Confidence interval for a ratio of Poisson rates in a 2-group design

ci.ratio.prop.ps(): Confidence interval for a paired-samples proportion ratio

ci.ratio.prop2(): Confidence interval for a 2-group proportion ratio

ci.ratio.sd2(): Confidence interval for a 2-group ratio of standard deviations

ci.rel2(): Confidence interval for a 2-group reliability difference

ci.reliability(): Confidence interval for a reliability coefficient

ci.rsqr(): Confidence interval for squared multiple correlation

ci.sign(): Confidence interval for the parameter of the one-sample sign test

ci.slope.mean.bs(): Confidence interval for the slope of means in a one-factor experimental design with a quantitative between-subjects factor

ci.slope.median.bs(): Confidence interval for the slope of medians in a one-factor experimental design with a quantitative between-subjects factor

ci.slope.prop.bs(): Confidence interval for a slope of a proportion in a single-factor experimental design with a quantitative between-subjects factor

ci.spcor(): Confidence interval for a semipartial correlation

ci.spear(): Confidence interval for a Spearman correlation

ci.spear2(): Confidence interval for a 2-group Spearman correlation difference

ci.stdmean.ps(): Confidence intervals for a paired-samples standardized mean difference

ci.stdmean(): Confidence interval for a standardized mean

ci.stdmean.strat(): Confidence intervals for a 2-group standardized mean difference with stratified sampling

ci.stdmean2(): Confidence intervals for a 2-group standardized mean difference

ci.tetra(): Confidence interval for a tetrachoric correlation

ci.theil(): Theil-Sen estimate and confidence interval for slope

ci.tukey(): Tukey-Kramer confidence intervals for all pairwise mean differences in a between-subjects design

ci.var.upper(): Upper confidence limit of a variance

ci.yule(): Confidence intervals for generalized Yule coefficients

Miscellaneous

Other functions, including functions for simulating data

adj.se(): Adjusted standard errors for slope coefficients in an exploratory analysis

etasqr.gen.2way(): Generalized eta-squared estimates in a two-factor design

etasqr.adj(): Bias adjustment for an eta-squared estimate

expon.slope(): Confidence interval for an exponentiated slope

fitindices(): SEM fit indices

iqv(): Indices of qualitative variation

pi.score(): Prediction interval for one score

pi.score2(): Prediction interval for a difference of scores in a 2-group experiment

random.sample(): Generate a random sample

random.y(): Generate random sample of scores

random.yx(): Generates random bivariate scores

randomize(): Randomize a sample into groups

signal(): Parameter estimates for a signal detection study

slope.contrast(): Contrast coefficients for the slope of a quantitative factor

spearmanbrown(): Computes the reliability of a scale with r2 measurements given the reliability of a scale with r1 measurements

Power

Compute power for a given sample size for various designs

power.cor(): Approximates the power of a correlation test for a planned sample size

power.cor2(): Approximates the power of a test for equal correlations in a 2-group design for planned sample sizes

power.lc.mean.bs(): Approximates the power of a test for a linear contrast of means for planned sample sizes in a between-subjects design

power.mean.ps(): Approximates the power of a paired-samples t-test for a planned sample size

power.mean(): Approximates the power of a one-sample t-test for a planned sample size

power.mean2(): Approximates the power of a two-sample t-test for planned sample sizes

power.prop.ps(): Approximates the power of a paired-samples test of equal proportions for a planned sample size

power.prop(): Approximates the power of a 1-group proportion test for a planned sample size

power.prop2(): Approximates the power of a 2-group proportion test for planned sample sizes

Prediction intervals

Prediction intervals

pi.cor(): Prediction limits for an estimated correlation

pi.prop(): Prediction interval for an estimated proportion

pi.score.ps(): Prediction interval for difference of scores in a 2-level within-subjects experiment

pi.score(): Prediction interval for one score

pi.score2(): Prediction interval for a difference of scores in a 2-group experiment

pi.var(): Prediction limits for an estimated variance

Sample-size planning

Sample sizes for desired precision or power

size.ci.agree(): Sample size for a G-index confidence interval

size.ci.ancova2(): Sample size for a 2-group ANCOVA confidence interval

size.ci.biphi(): Sample size for biserial-phi correlation confidence interval

size.ci.condmean(): Sample size for a conditional mean confidence interval

size.ci.cor.prior(): Sample size for a Pearson correlation confidence interval using a planning value from a prior study

size.ci.cor(): Sample size for a Pearson or partial correlation confidence interval

size.ci.cor2(): Sample size for a 2-group Pearson correlation difference confidence interval

size.ci.cronbach(): Sample size for a Cronbach reliability confidence interval

size.ci.cronbach2(): Sample size for a 2-group Cronbach reliability difference confidence interval

size.ci.cv(): Sample size for a coefficient of variation

size.ci.etasqr(): Sample size for an eta-squared confidence interval

size.ci.gen(): Sample size for a confidence interval for any type of parameter

size.ci.gen2(): Sample size for a confidence interval for the difference of any type of parameter

size.ci.indirect(): Sample size for an indirect effect confidence interval

size.ci.lc.ancova(): Sample size for a linear contrast confidence interval in an ANCOVA

size.ci.lc.mean.bs(): Sample size for a between-subjects mean linear contrast confidence interval

size.ci.lc.mean.ws(): Sample size for a within-subjects mean linear contrast confidence interval

size.ci.lc.median.bs(): Sample size for a between-subjects median linear contrast confidence interval

size.ci.lc.prop.bs(): Sample size for a between-subjects proportion linear contrast confidence interval

size.ci.lc.stdmean.bs(): Sample size for a between-subjects standardized linear contrast of means confidence interval

size.ci.lc.stdmean.ws(): Sample size for a within-subjects standardized linear contrast of means confidence interval

size.ci.mape(): Sample size for a mean absolute prediction error confidence interval

size.ci.mean.prior(): Sample size for a mean confidence interval using a planning value from a prior study

size.ci.mean.ps(): Sample size for a paired-samples mean difference confidence interval

size.ci.mean(): Sample size for a mean confidence interval

size.ci.mean2(): Sample size for a 2-group mean difference confidence interval

size.ci.median(): Sample size for a median confidence interval

size.ci.median2(): Sample size for a 2-group median difference confidence interval

size.ci.oddsratio(): Sample size for an odds ratio confidence interval

size.ci.pbcor(): Sample size for a point-biserial correlation confidence interval

size.ci.phi(): Sample size for phi correlation confidence interval

size.ci.prop.prior(): Sample size for a proportion confidence interval using a planning value from a prior study

size.ci.prop.ps(): Sample size for a paired-sample proportion difference confidence interval

size.ci.prop(): Sample size for a proportion confidence interval

size.ci.prop2(): Sample size for a 2-group proportion difference confidence interval

size.ci.ratio.mean.ps(): Sample size for a paired-samples mean ratio confidence interval

size.ci.ratio.mean2(): Sample size for a 2-group mean ratio confidence interval

size.ci.ratio.prop.ps(): Sample size for a paired-samples proportion ratio confidence interval

size.ci.ratio.prop2(): Sample size for a 2-group proportion ratio confidence interval

size.ci.rsqr(): Sample size for a squared multiple correlation confidence interval

size.ci.second(): Sample size for a second-stage confidence interval

size.ci.slope.gen(): Sample size for a slope confidence interval in a general statistical model

size.ci.slope(): Sample size for a slope confidence interval

size.ci.spear(): Sample size for a Spearman correlation confidence interval

size.ci.spear2(): Sample size for a 2-group Spearman correlation difference confidence interval

size.ci.stdmean.ps(): Sample size for a paired-samples standardized mean difference confidence interval

size.ci.stdmean2(): Sample size for a 2-group standardized mean difference confidence interval

size.ci.tetra(): Sample size for a tetrachoric correlation confidence interval

size.ci.yule(): Sample size for a Yule's Q confidence interval

size.equiv.mean.ps(): Sample size for a paired-samples mean equivalence test

size.equiv.mean2(): Sample size for a 2-group mean equivalence test

size.equiv.prop.ps(): Sample size for a paired-samples proportion equivalence test

size.equiv.prop2(): Sample size for a 2-group proportion equivalence test

size.interval.cor(): Sample size for an interval test of a Pearson or partial correlation

size.supinf.mean.ps(): Sample size for a paired-samples mean superiority or noninferiority test

size.supinf.mean2(): Sample size for a 2-group mean superiority or noninferiority test

size.supinf.prop.ps(): Sample size for a paired-samples superiority or inferiority test of proportions

size.supinf.prop2(): Sample size for a 2-group superiority or inferiority test of proportions

size.test.ancova2(): Sample size for a 2-group ANCOVA hypothesis test

size.test.cor(): Sample size for a test of a Pearson or partial correlation

size.test.cor2(): Sample size for a test of equal Pearson or partial correlation in a 2-group design

size.test.cronbach(): Sample size to test a Cronbach reliability

size.test.cronbach2(): Sample size to test equality of Cronbach reliability coefficients in a 2-group design

size.test.gen(): Sample size for a test of any type of parameter

size.test.gen2(): Sample size for a test of 2-group difference for any type of parameter

size.test.lc.ancova(): Sample size for a mean linear contrast test in an ANCOVA

size.test.lc.mean.bs(): Sample size for a test of a between-subjects mean linear contrast

size.test.lc.mean.ws(): Sample size for a test of a within-subjects mean linear contrast

size.test.lc.prop.bs(): Sample size for a test of between-subjects proportion linear contrast

size.test.mann(): Sample size for a Mann-Whitney test

size.test.mean.ps(): Sample size for a test of a paired-samples mean difference

size.test.mean(): Sample size for a test of a mean

size.test.mean2(): Sample size for a test of a 2-group mean difference

size.test.prop.ps(): Sample size for a test of a paired-samples proportion difference

size.test.prop(): Sample size for a test of a single proportion

size.test.prop2(): Sample size for a test of a 2-group proportion difference

size.test.sign.ps(): Sample size for a paired-samples sign test

size.test.sign(): Sample size for a 1-group sign test

size.test.slope.gen(): Sample size for a slope hypothesis test in a general statistical model

size.test.slope(): Sample size for a test of a slope

Simulations

Test coverage of difference confidence intervals with simulated data

sim.ci.cor(): Simulates confidence interval coverage probability for a Pearson correlation

sim.ci.mean.ps(): Simulates confidence interval coverage probability for a paired-samples mean difference

sim.ci.mean(): Simulates confidence interval coverage probability for a mean

sim.ci.mean2(): Simulates confidence interval coverage probability for a 2-group mean difference

sim.ci.median.ps(): Simulates confidence interval coverage probability for a median difference in a paired-samples design

sim.ci.median(): Simulates confidence interval coverage probability for a median

sim.ci.median2(): Simulates confidence interval coverage probability for a median difference in a 2-group design

sim.ci.spear(): Simulates confidence interval coverage probability for a Spearman correlation

sim.ci.stdmean.ps(): Simulates confidence interval coverage probability for a standardized mean difference in a paired-samples design

sim.ci.stdmean2(): Simulates confidence interval coverage probability for a standardized mean difference in a 2-group design

Tests

Hypothesis tests

test.anova.bs(): Between-subjects F statistic and eta-squared from summary information

test.cor(): Hypothesis test for a Pearson or partial correlation

test.cor2(): Hypothesis test for a 2-group Pearson or partial correlation difference

test.kurtosis(): Computes p-value for test of excess kurtosis

test.mean(): Hypothesis test for a mean

test.mono.mean.bs(): Test of a monotonic trend in means for an ordered between-subjects factor

test.mono.median.bs(): Test of a monotonic trend in medians for an ordered between-subjects factor

test.mono.prop.bs(): Test of monotonic trend in proportions for an ordered between-subjects factor

test.prop.bs(): Hypothesis test of equal proportions in a between-subjects design

test.prop.ps(): Hypothesis test for a paired-samples proportion difference

test.prop(): Hypothesis test for a proportion

test.prop2(): Hypothesis test for a 2-group proportion difference

test.skew(): Computes p-value for test of skewness

test.spear(): Hypothesis test for a Spearman correlation

test.spear2(): Hypothesis test for a 2-group Spearman correlation difference