mesa {tablet}

Drag-and-drop Descriptive Statistics

Description

Generate a table of descriptive statistics by selecting columns from a file. Currently supported formats include *.xpt, *.sas7bdat, and *.csv. Launch the application using mesa() and use the interface to select a data file, such as 'mtcars.xpt' under 'examples/') (or select configuration file 'mtcars.conf' under 'examples/'). Then classify the columns of interest to generate the corresponding displays.

Usage

mesa(launch.browser = TRUE, display.mode = "normal", ...)

Arguments

launch.browser

passed to runApp

display.mode

passed to runApp

...

passed to runApp

Details

Currently,

* xpt files are read using the defaults for read.xport,

* sas7bdat files are read using the defaults for read_sas, and

* csv files are read using the defaults for as.csv.

If a file in the same directory has a corresponding base name but a .yaml extension, it is treated as metadata and an attempt is made to apply it to the internal version of the data. This file will not be over-written, but it WILL be constructed if missing. You can hand-edit it to supply metadata. See ?yamlet for format; see the Variables tab for an easy interface.

This is a metadata-driven application. Columns in the data that are *not* in the metadata will be ignored, and columns in the metadata that are *not* in the data will be constructed (maybe *all* of them).

The mtcars datasets in the 'examples' volume is from datasets.

Value

used for side effects: launches shiny application shinyWidgets',