Frequency distributions/cr Confidence interval for a proportion

One sample proportion test

Confidence interval for a difference between two proportions

Confidence interval for a ratio of two proportions

Compare two proportions (Fisher's exact test and Chi-square test)

Compare proportions of two paired samples (McNemar test)

Compare proportions of more than two paired samples (Cochran Q test)

Cochran-Armitage test for trend in proportions

Logistic regression

Ordinal logistic regression

Multinomial logistic regression

Numerical summaries

Smirnov-Grubbs test for outliers

Kolmogorov-Smirnov test for normal distribution

Confidence interval for a mean

Single-sample t-test

Two-variances F-test

Two-sample t-test

Paired t-test

Bartlett's test

One-way ANOVA

Repeated-measures ANOVA

Multi-way ANOVA

ANCOVA

Test for Pearson's correlation

Linear regression

Linear mixed model

Mann-Whitney U test

Wilcoxon's signed rank test

Kruskal-Wallis test

Friedman test

Jonckheere-Terpstra test

Spearman's rank correlation test

Kaplan-Meier survival curve and logrank test

Logrank trend test

Cox proportional hazard regression

Cox proportional hazard regression with time-dependent covariate

Cumulative incidence of competing events and Gray test

Fine-Gray proportional hazard regression for competing events

Fine-Gray proportional hazard regression with time-dependent covariate

Accuracy of qualitative test

Kappa statistics for agreement of two tests

Compute positive and negative predictive values

ROC curve analysis for quantitative test

Compare two ROC curves

ROC curve analysis for time-to-event data

Cronbach's alpha coefficient for reliability

Extract matched controls (This function relys on optmatch package and is limietd to academic use.)

Mantel-Haenzel test for matched proportions

Conditional logistic regression for matched-pair analysis

Stratified Cox proportional hazard regression for matched-pair analysis

Meta-analysis and meta-regression test for proportions

Meta-analysis and meta-regression test for means

Meta-analysis and meta-regression test for hazard ratios

Network meta-analysis

Calculate sample size from control and desired response rates

Calculate sample size from proportion and confidence interval

Calculate sample size or power for comparison with specified proportion

Calculate sample size or power for comparison between two proportions

Calculate sample size for non-inferiority trial of two proportions

Calculate sample size for selection design in randomized phase 2 trial

Calculate sample size from standard deviation and confidence interval

Calculate sample size or power for comparison between two means

Calculate sample size or power for comparison between two paired means

Calculate sample size or power for comparison between two survival curves

Bar graph(Frequencies)

Pie chart(Frequencies)

Stem-and-leaf display

Histogram

QQ plot

Bar graph(Means)

Line graph(Means)

Line graph(Repeated measures)

Boxplot

Dot chart

Ordered chart

Scatterplot

Scatterplot matrix

Adjusted survival curve

Adjusted cumulative incidence curve

Stacked cumulative incidences

Principal-components analysis

Factor analysis

k-means cluster analysis

Hierarchical cluster analysis

Summarize hierarchical clustering

Add hierarchical clustering to data set

Linear hypothesis

Variance-inflation factor

Breusch-Pagan test for heteroscedasticity

Durbin-Watson test for autocorrelation

RESET test for nonlinearity

Bonferroni outlier test

Basic diagnostic plots

Residual quantile-comparison plot

Component+residual plots

Added-variable plots

Influence plot

Effect plots