get_tac_column

Contingency table for column `col_name` in data.frame `df

A set of concise and efficient tools for statistical production. Can also be used for data management.
In statistical production, you deal with complex data and need to control your process at each step of your work.
Concise functions are very helpful, because you do not hesitate to use them.
The following functions are included in the package.
'dup'  checks duplicates.
'miss' checks missing values.
'tac' computes contingency table of all columns.
'toc' compares two tables, spotting significant deviations.
'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).

Vincent Reduron

ProduceR

Concise and Efficient Tools for Everyday Statistical Production

get_tac_column function

<dl><dt>df</dt>
<dd>Input data.frame</dd>
<dt>col_name</dt>
<dd>string : name of column to which generate the contingency table</dd>
<dt>values</dt>
<dd>Vector of columns that serve as measures (amounts, counts, etc.)</dd>
<dt>strates</dt>
<dd>Vector of column names by which to stratify the contingency tables</dd></dl>

Arguments

Contingency table for column `col_name` in data.frame `df — get_tac_column

<dl>

<dt>df</dt>
<dd>Input data.frame</dd>


<dt>col_name</dt>
<dd>string : name of column to which generate the contingency table</dd>


<dt>values</dt>
<dd>Vector of columns that serve as measures (amounts, counts, etc.)</dd>


<dt>strates</dt>
<dd>Vector of column names by which to stratify the contingency tables</dd>

</dl>

get_tac_column: Contingency table for column `col_name` in data.frame `df

Description

Usage

Arguments