## 1) R Commander

Home Page-

http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/

Official Screenshot-

Install-

Start R

>library(Rcmdr)

## R Commander Menu Tree [current as of version 1.6-0]

File - Change working directory |- Open script file |- Save script |- Save script as |- Save output |- Save output as |- Save R workspace |- Save R workspace as |- Exit - from Commander |- from Commander and R Edit - 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 Minitab data set | |- from STATA data set | |- from Excel, Access, or dBase data set |- Data in packages - List data sets in packages | |- Read data set from attached package |- Active data set - 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 | |- Aggregate variables in active data set | |- Remove row(s) from active data set | |- Stack variables in active data set | |- Remove cases with missing data | |- Save active data set | |- Export active data set |- Manage variables in active data set - Recode variable |- Compute new variable |- Add observation numbers to data set |- Standardize variables |- Convert numeric variables to factors |- Bin numeric variable |- Reorder 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 | |- Shapiro-Wilk test of normality |- Contingency Tables - Two-way table | |- 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 |- Proportions - Single-sample proportion test | |- Two-sample proportions test |- Variances - Two-variances F-test | |- Bartlett's test | |- Levene's test |- Nonparametric tests - Two-sample Wilcoxon test | |- Paired-samples Wilcoxon test | |- Kruskal-Wallis test | |- Friedman rank-sum test |- Dimensional analysis - Scale reliability | |- Principal-components analysis | |- 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 Graphs - Color palette |- Index plot |- Histogram |- Stem-and-leaf display |- Boxplot |- Quantile-comparison plot |- 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 |- Add observation statistics to data |- Confidence intervals |- Akaike Information Criterion (AIC) |- Bayesian Information Criterion (BIC) |- Stepwise model selection |- Subset model selection |- 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 |- Graphs - Basic diagnostic plots |- Residual quantile-comparison plot |- Component+residual plots |- Added-variable plots |- Influence plot |- 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 | | |- 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 Tools - Load package(s) |- Load Rcmdr plug-in(s) |- Options Help - Commander help |- Introduction to the R Commander |- Help on active data set (if available) |- About Rcmdr |- Start R help system

## R Commander Plugins-

Rcmdr | R Commander |

RcmdrPlugin.DoE | R Commander Plugin for (industrial) Design of Experiments |

RcmdrPlugin.EHESsampling | Tools for sampling in European Health Examination Surveys (EHES) |

RcmdrPlugin.Export | Graphically export output to LaTeX or HTML |

RcmdrPlugin.FactoMineR | Graphical User Interface for FactoMineR |

RcmdrPlugin.HH | Rcmdr support for the HH package |

RcmdrPlugin.IPSUR | An IPSUR Plugin for the R Commander |

RcmdrPlugin.MAc | Meta-Analysis with Correlations (MAc) Rcmdr Plug-in |

RcmdrPlugin.MAd | Meta-Analysis with Mean Differences (MAd) Rcmdr Plug-in |

RcmdrPlugin.PT | Some discrete exponential dispersion models: Poisson-Tweedie |

RcmdrPlugin.SLC | SLC Rcmdr Plug-in |

RcmdrPlugin.SensoMineR | Graphical User Interface for SensoMineR |

RcmdrPlugin.SurvivalT | Rcmdr Survival Plug-In |

RcmdrPlugin.TeachingDemos | Rcmdr Teaching Demos Plug-In |

RcmdrPlugin.TextMining | Rcommander plugin for “tm” package |

RcmdrPlugin.doex | Rcmdr plugin for Stat 4309 course |

RcmdrPlugin.epack | Rcmdr plugin for time series |

RcmdrPlugin.orloca | orloca Rcmdr Plug-in |

RcmdrPlugin.qcc | Rcmdr qcc Plug-In |

RcmdrPlugin.qual | Rcmdr plugin for quality control course |

RcmdrPlugin.sos | Efficiently search R Help pages |

RcmdrPlugin.steepness | Steepness Rcmdr Plug-in |

RcmdrPlugin.survival | R Commander Plug-in for the survival Package |

2) Rattle

Home Page-

http://rattle.togaware.com/rattle-download.html

Install-It has dependencies notable GTK+ so follow home page.

Official Screenshot-

## 3) Deducer

Home Page-

http://www.deducer.org/manual.html

## Menu Structure

Official Screenshot-

## Extension Packages

- DeducerExtras
- An add-on package containing a variety of additional analysis dialogs. These include: Distribution quantiles, single/multiple sample proportion tests, paired t-test, Wilcoxon signed rank test, Levene’s test, Bartlett’s test, k-means clustering, Hierarchical clustering, factor analysis, and multi-dimensional scaling
- DeducerPlugInScaling
- Reliability and factor analysis
- gMCP
- (Experimental) A graphical approach to sequentially rejective multiple test procedures
- RGG
- A GUI Generator

## 4) RKWard

Home Page-

http://rkward.sourceforge.net/

Install-

http://sourceforge.net/apps/mediawiki/rkward/index.php?title=Download_RKWard

Official Screenshots-

http://sourceforge.net/apps/mediawiki/rkward/index.php?title=Screenshots

## 5) Red-R

Home Page-

Install-

Official Screenshot-

## 6) GrapheR

Home-

http://cran.r-project.org/web/packages/GrapheR/index.html

Install-

http://cran.r-project.org/web/packages/GrapheR/GrapheR.pdf

**(UN)** Official Screenshot-

## 7) Komodo Sciviews-K

Home Page-

http://sciviews.org/SciViews-K/

Official Screenshot-

## 8 ) JGR

Home Page-

Install-

https://www.rforge.net/JGR/files/

Official Screenshot-

## 9) PMG

Home Page-

http://wiener.math.csi.cuny.edu/pmg/pmg/

(UN)Official Screenshot

10) R Analytic Flow

Home Page-

http://www.ef-prime.com/products/ranalyticflow_en/index.html

Install-

http://www.ef-prime.com/products/ranalyticflow_en/download.html

Official Screenshot

D.V.DeshpandeFantastic

f3lixAdd this one to the list:

RStudio (http://rstudio.org/)

– felix

Ajay OhriPost authorR Studio is an IDE not a proper GUI as of now