info

<code>info</code> returns data.frame with variables description and some summary
statistics. Resulting data.frame mainly intended to keep in front of eyes in 
RStudio viewer or to be saved as csv to view in the spreadsheet software as 
reference about working dataset.

Package computes and displays tables with support for 'SPSS'-style
labels, multiple and nested banners, weights, multiple-response variables
and significance testing. There are facilities for nice output of tables
in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods
for labelled variables add value labels support to base R functions and to
some functions from other packages. Additionally, the package brings
popular data transformation functions from 'SPSS' Statistics and 'Excel':
'RECODE', 'COUNT', 'COUNTIF', 'VLOOKUP' and etc.
These functions are very useful for data processing in marketing research
surveys. Package intended to help people to move data
processing from 'Excel' and 'SPSS' to R.

Gregory Demin

expss

Tables, Labels and Some Useful Functions from Spreadsheets and
'SPSS' Statistics

Sebastian Jeworutzki

Dan Chaltiel

John Williams

Tom Elliott

info function

<dl><dt>x</dt>
<dd>vector/factor/list/data.frame.</dd>
<dt>stats</dt>
<dd>Logical. Should we calculate summary for each variable?</dd>
<dt>frequencies</dt>
<dd>Logical. Should we calculate frequencies for each 
variable? This calculation can take significant amount of time for large 
datasets.</dd>
<dt>max_levels</dt>
<dd>Numeric. Maximum levels for using in frequency 
calculations. Levels above this value will convert to 'Other values'.</dd></dl>

Arguments

Provides variables description for dataset — info

<dl>

<dt>x</dt>
<dd>vector/factor/list/data.frame.</dd>


<dt>stats</dt>
<dd>Logical. Should we calculate summary for each variable?</dd>


<dt>frequencies</dt>
<dd>Logical. Should we calculate frequencies for each 
variable? This calculation can take significant amount of time for large 
datasets.</dd>


<dt>max_levels</dt>
<dd>Numeric. Maximum levels for using in frequency 
calculations. Levels above this value will convert to 'Other values'.</dd>

</dl>

info: Provides variables description for dataset

Description

Usage

Value

Arguments

Examples