## Comparing popular procedures in R and BlueSky Statistics

Here’s a quick comparison of how popular functions work in both R and BlueSky Statistics. The R version shows the code that the analyst would need to write to execute each function, and the BlueSky version shows the point and click equivalent in the BlueSky graphical interface. You can also download a PDF version of this document.

## Reading Excel and CSV files

### Typical R code

### How this works in BlueSky Statistics

## Attaching value labels to categories

### Typical R code

### How this works in BlueSky Statistics

## Generating summary tables

### Typical R code

### How this works in BlueSky Statistics

## Exploring relationships between variables

### Typical R code

### How this works in BlueSky Statistics

## Comparing group means

### Typical R code

### How this works in BlueSky Statistics

## Binning data

### Typical R code

### How this works in BlueSky Statistics

## Creating simple charts

### Typical R code

### How this works in BlueSky Statistics

### Typical R code

### How this works in BlueSky Statistics

### Typical R code

### How this works in BlueSky Statistics

## Working with subsets

### Typical R code

### How this works in BlueSky Statistics

## Recoding category fields

### Typical R code

### How this works in BlueSky Statistics

## Working with subsets

### Merging files

### How this works in BlueSky Statistics

## Deriving new fields

### Merging files

### How this works in BlueSky Statistics