Course sections

What is R?, Lecture 4

GUI of R: IDE and Statistical Analysis Interfaces

Graphical User Interface of R

The GUI (Graphical User Interface) that comes with R is widely used. But for different needs we can use different GUIs.
• RStudio: This is the widely used GUI/ IDE (Integrated Development Environment) for R. In our course we will be using this software. RStudio includes a wide range of productivity enhancing features and runs on all major platforms
Features include:
• Customizable workbench with all of the tools required to work with R in one place
• Syntax highlighting editor with code completion.
• Execute code directly from the source editor (line, selection, or file)
• Searchable history.
• Retrieve previous commands.
• Keyboard shortcuts.
• Easy installation of new packages
• Runs on all major platforms and can also be run as a server, enabling multiple users to access the RStudio IDE using a web browser
• Integrated help functionality.
• RStudio works with the manipulate package to add interactive capabilities to standard R plots.

Features include:
• Extensive collection of R packages.
• File Inputs: CSV, TXT, Excel, R Dataset, etc
• Statistics: Min, Max, Quartiles, Mean, St Dev, Missing, Sum, Variance, etc
• Statistical tests: Correlation, t-Test, F-Test, and Wilcoxon Signed Rank.
• Clustering: KMeans, Clara, Hierarchical, and BiCluster.
• Modelling: Decision Trees, Random Forests, Logistic Regression, etc
• Evaluation: Confusion Matrix, Risk Charts, ROC
• Charts: Box Plot, Histogram, Correlations, Dendrograms, Cumulative, etc

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