examine

0th

Percentile

Examine one or more variables

These functions are one of many R functions enabling users to assess variable descriptives. They have been developed to mimic SPSS' 'EXAMINE' syntax command ('Explore' in the menu) as closely as possible to ease the transition for new R users and facilitate teaching courses where both programs are taught alongside each other.

Keywords
univar
Usage
examine(..., stem = TRUE, plots = TRUE, extremeValues = 5, descr.include = NULL, qqCI = TRUE, conf.level = 0.95)
examineBy(..., by=NULL, stem = TRUE, plots = TRUE, extremeValues = 5, descr.include=NULL, qqCI = TRUE, conf.level=.95)
Arguments
...
The first argument is a list of variables to provide descriptives for. Because these are the first arguments, the other arguments must be named explicitly so R does not confuse them for something that should be part of the dots.
by
A variable by which to split the dataset before calling examine. This can be used to show the descriptives separate by levels of a factor.
stem
Whether to display a stem and leaf plot.
plots
Whether to display the plots generated by the dataShape function.
extremeValues
How many extreme values to show at either end (the highest and lowest values). When set to FALSE (or 0), no extreme values are shown.
qqCI
Whether to display confidence intervals in the QQ-plot.
descr.include
Which descriptives to include; see descr for more information.
conf.level
The level of confidence of the confidence interval.
Details

This function basically just calls the descr function, optionally supplemented with calls to stem, dataShape.

Value

A list that is displayed when printed.

descr, dataShape, stem

• examine
• examineBy
Examples
### Look at the miles per gallon descriptives:
examine(mtcars$mpg, stem=FALSE, plots=FALSE); ### Separate for the different number of cylinders: examineBy(mtcars$mpg, by=mtcars\$cyl,
stem=FALSE, plots=FALSE,
extremeValues=FALSE,