RStudio provides support for reproducible research. RStudio can run in a web browser (using Rstudio.cloud) or on your personal computer. This can be distracting for the beginner. The default interfaces for R are quite different on the RStudio runs on Mac, PC, and Linux machines and provides a simplified interface that looks and feels identical on all of them. RStudio is an integrated development environment (IDE) for R that provides an alternative interface to R that has several advantages over other the default R interfaces:

7.3.3 Two-Proportion Inference Code - Method II (matrix):.

7.3.2 Two-Proportion Inference Code - Method I (rbind):.

7.3.1 When do we use two-proportion inference?.

7.2.1 When do we use one-mean inference?.

7.1.1 When do we use one-proportion inference?.

6.12 barplot - for comparing two proportions.

6.11 gf_xyplot - for two numerical variables.

6.10 xyplot - for two numerical variables.

6.9 gf_boxplot - for one numerical variable.

6.8 histogram - for one numerical variable.

6.7 gf_histogram - for one numerical variable.

6.6 bwplot - for one numerical variable or one numerical/one categorical variable.

6.5 gf_dotPlot - for one numerical variable.

6.4 dotplot - for one numerical variable.

6.1 bargraphs - for one or two catagorical variables.

5.2 favstats() - for summarizing numeric data.

5.1 tally - for summarizing categorical data.

4.5.3 Random sample and treatment groups.

4.5.2 Randomizing subjects into treatment groups.

4.4 Functions - simulating random processes.

3.6 Creating Raw Data from Summary Data.

3.5 Importing Data from Excel (.xlsx) file.

2.4 Example 3: A typical Data Science algorithm - Using Pipes.

2.3 Example 3: A typical Data Science algorithm.

1.8.2 How many significant digits to show.

1.2 Using RStudio on your personal computer.

How to clear data in r