Complete Menu Tree


|---File
|------Change working directory...
|------Open script file...
|------Save script...
|------Save script as...
|------Open R Markdown file...
|------Open knitr file...
|------Save R Markdown file...
|------Save knitr file...
|------Save R Markdown file as...
|------Save knitr file as...
|------Save output...
|------Save output as...
|------Save R workspace...
|------Save R workspace as...
|------Exit
|---------From Commander
|---------From Commander and R
|---------Restart the Commander
|---Edit
|------Edit R Markdown document
|------Edit knitr document
|------Remove last Markdown command block
|------Remove last Markdown section title
|------Remove last knitr command block
|------Cut
|------Copy
|------Paste
|------Delete
|------Find...
|------Select all
|------Undo
|------Redo
|------Clear window
|---Data
|------New data set...
|------Load data set...
|------Merge data sets...
|------Import data
|---------from text file, clipboard, or URL...
|---------from SPSS data set...
|---------from SAS xport file...
|---------from SAS b7dat file...
|---------from Minitab data set...
|---------from STATA data set...
|---------from Excel file...
|------Data in packages
|---------List data sets in packages
|---------Read data set from an attached package...
|------Active data set
|---------View data...
|---------Select active data set...
|---------Refresh active data set
|---------Help on active data set (if available)
|---------Variables in active data set
|---------Set case names...
|---------Subset active data set...
|---------Sort active data set...
|---------Aggregate variables in active data set...
|---------Select row(s) from active data set...
|---------Remove row(s) from active data set...
|---------Stack variables in active data set...
|---------Remove cases with missing data...
|---------Reshape data set from long to wide format...
|---------Reshape data set from wide to long format...
|---------Convert all character variables to factors
|---------Save active data set...
|---------Export active data set...
|------Manage variables in active data set
|---------Recode variables...
|---------Compute new variable...
|---------Add observation numbers to data set
|---------Standardize variables...
|---------Convert numeric variables to factors...
|---------Convert character variables to factors...
|---------Bin numeric variable...
|---------Reorder factor levels...
|---------Drop unused factor levels...
|---------Define contrasts for a factor...
|---------Rename variables...
|---------Delete variables from data set ...
|---Statistics
|------Summaries
|---------Active data set
|---------Numerical summaries...
|---------Frequency distributions...
|---------Count missing observations
|---------Table of statistics...
|---------Correlation matrix...
|---------Correlation test...
|---------Test of normality...
|---------Transform toward normality...
|------Contingency tables
|---------Two-way table...
|---------Two-way table from counts...
|---------Multi-way table...
|---------Enter and analyze two-way table...
|------Means
|---------Single-sample t-test...
|---------Independent samples t-test...
|---------Paired t-test...
|---------One-way ANOVA...
|---------Multi-way ANOVA...
|---------One-factor repeated-measures ANOVA/ANCOVA...
|---------Two-factor repeated-measures ANOVA/ANCOVA...
|------Proportions
|---------Single-sample proportion test...
|---------Two-sample proportions test...
|------Variances
|---------Single-Sample Variance Test...
|---------Two-variances F-test...
|---------Bartlett's test...
|---------Levene's test...
|------Nonparametric tests
|---------Two-sample Wilcoxon test...
|---------Single-sample Wilcoxon test...
|---------Paired-samples Wilcoxon test...
|---------Kruskal-Wallis test...
|---------Friedman rank-sum test...
|------Dimensional analysis
|---------Scale reliability...
|---------Principal-components analysis...
|---------Factor analysis...
|---------Confirmatory factor analysis...
|---------Cluster analysis
|------------k-means cluster analysis...
|------------Hierarchical cluster analysis...
|------------Summarize hierarchical clustering...
|------------Add hierarchical clustering to data set...
|------Fit models
|---------Linear regression...
|---------Linear model...
|---------Generalized linear model...
|---------Multinomial logit model...
|---------Ordinal regression model...
|---------Linear mixed model...
|---------Generalized linear mixed model...
|---Graphs
|------Color palette...
|------Index plot...
|------Dot plot...
|------Histogram...
|------Plot discrete numeric variable...
|------Density estimate...
|------Stem-and-leaf display...
|------Boxplot...
|------Quantile-comparison plot...
|------Symmetry boxplot...
|------Scatterplot...
|------Scatterplot matrix...
|------Line graph...
|------XY conditioning plot...
|------Plot of means...
|------Strip chart...
|------Bar graph...
|------Pie chart...
|------3D graph
|---------3D scatterplot...
|---------Identify observations with mouse
|---------Save graph to file
|------Save graph to file
|---------as bitmap...
|---------as PDF/Postscript/EPS...
|---------3D RGL graph...
|---Models
|------Select active model...
|------Summarize model
|------Compare model coefficients...
|------Add observation statistics to data...
|------Akaike Information Criterion (AIC)
|------Bayesian Information Criterion (BIC)
|------Stepwise model selection...
|------Subset model selection...
|------Confidence intervals...
|------Bootstrap confidence intervals...
|------Delta method confidence interval...
|------Hypothesis tests
|---------ANOVA table...
|---------Compare two models...
|---------Linear hypothesis...
|------Numerical diagnostics
|---------Variance-inflation factors
|---------Breusch-Pagan test for heteroscedasticity...
|---------Durbin-Watson test for autocorrelation...
|---------RESET test for nonlinearity...
|---------Bonferroni outlier test
|---------Response transformation...
|------Graphs
|---------Basic diagnostic plots
|---------Residual quantile-comparison plot...
|---------Component+residual plots...
|---------3D Component+residual plot...
|---------Added-variable plots...
|---------3D added-variable plot...
|---------Influence plot...
|---------Influence index plot...
|---------Effect plots...
|---------Predictor effect plots...
|---Distributions
|------Continuous distributions
|---------Normal distribution
|------------Normal quantiles...
|------------Normal probabilities...
|------------Plot normal distribution...
|------------Sample from normal distribution...
|---------t distribution
|------------t quantiles...
|------------t probabilities...
|------------Plot t distribution...
|------------Sample from t distribution...
|---------Chi-squared distribution
|------------Chi-squared quantiles...
|------------Chi-squared probabilities...
|------------Plot chi-squared distribution...
|------------Sample from chi-squared distribution...
|---------F distribution
|------------F quantiles...
|------------F probabilities...
|------------Plot F distribution...
|------------Sample from F distribution...
|---------Exponential distribution
|------------Exponential quantiles...
|------------Exponential probabilities...
|------------Plot exponential distribution...
|------------Sample from exponential distribution...
|---------Uniform distribution
|------------Uniform quantiles...
|------------Uniform probabilities...
|------------Plot uniform distribution...
|------------Sample from uniform distribution...
|---------Beta distribution
|------------Beta quantiles...
|------------Beta probabilities...
|------------Plot beta distribution...
|------------Sample from beta distribution...
|---------Cauchy distribution
|------------Cauchy quantiles...
|------------Cauchy probabilities...
|------------Plot Cauchy distribution...
|------------Sample from Cauchy distribution...
|---------Logistic distribution
|------------Logistic quantiles...
|------------Logistic probabilities...
|------------Plot logistic distribution...
|------------Sample from logistic distribution...
|---------Lognormal distribution
|------------Lognormal quantiles...
|------------Lognormal probabilities...
|------------Plot lognormal distribution...
|------------Sample from lognormal distribution...
|---------Gamma distribution
|------------Gamma quantiles...
|------------Gamma probabilities...
|------------Plot gamma distribution...
|------------Sample from gamma distribution...
|---------Weibull distribution
|------------Weibull quantiles...
|------------Weibull probabilities...
|------------Plot Weibull distribution...
|------------Sample from Weibull distribution...
|---------Gumbel distribution
|------------Gumbel quantiles...
|------------Gumbel probabilities...
|------------Plot Gumbel distribution...
|------------Sample from Gumbel distribution...
|------Discrete distributions
|---------Binomial distribution
|------------Binomial quantiles...
|------------Binomial tail probabilities...
|------------Binomial probabilities...
|------------Plot binomial distribution...
|------------Sample from binomial distribution...
|---------Poisson distribution
|------------Poisson quantiles...
|------------Poisson tail probabilities...
|------------Poisson probabilities...
|------------Plot Poisson distribution...
|------------Sample from Poisson distribution...
|---------Geometric distribution
|------------Geometric quantiles...
|------------Geometric tail probabilities...
|------------Geometric probabilities...
|------------Plot geometric distribution...
|------------Sample from geometric distribution...
|---------Hypergeometric distribution
|------------Hypergeometric quantiles...
|------------Hypergeometric tail probabilities...
|------------Hypergeometric probabilities...
|------------Plot hypergeometric distribution...
|------------Sample from hypergeometric distribution...
|---------Negative binomial distribution
|------------Negative binomial quantiles...
|------------Negative binomial tail probabilities...
|------------Negative binomial probabilities...
|------------Plot negative binomial distribution...
|------------Sample from negative binomial distribution...
|------Set random number generator seed...
|---Tools
|------Load package(s)...
|------Load Rcmdr plug-in(s)...
|------Options...
|------Save Rcmdr options...
|------Manage Mac OS X app nap for R.app...
|------Install auxiliary software...
|---Help
|------Commander help
|------Introduction to the R Commander
|------Introduction to the R Commander (English version)
|------R Commander website
|------About Rcmdr
|------R Commander hex sticker
|------Help on active data set (if available)
|------Start R help system
|------R website
|------Using R Markdown