fctr

<code>fctr</code> converts variable to factor. It force labels usage as factor 
labels for labelled variables even if 'expss.enable_value_labels_support' set
to 0. For other types of variables base <a href="/link/factor?package=expss&version=0.11.4" data-mini-rdoc="expss::factor">factor</a> is called. Factor
levels are constructed as values labels. If label doesn't exist for
particular value then this value remain as is - so there is no information
lost. This levels look like as "Variable_label|Value label" if argument
<code>prepend</code> set to TRUE.

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

fctr function

<dl><dt>x</dt>
<dd>a vector of data with labels.</dd>
<dt>...</dt>
<dd>optional arguments for <code><a href="/link/factor?package=expss&version=0.11.4" data-mini-rdoc="expss::factor">factor</a></code></dd>
<dt>drop_unused_labels</dt>
<dd>logical. Should we drop unused value labels?
Default is FALSE.</dd>
<dt>prepend_var_lab</dt>
<dd>logical. Should we prepend variable label before value
labels? Default is TRUE.</dd></dl>

Arguments

<code>fctr</code> converts variable to factor. It force labels usage as factor 
labels for labelled variables even if 'expss.enable_value_labels_support' set
to 0. For other types of variables base <a href='https://rdrr.io/r/base/factor.html'>factor</a> is called. Factor
levels are constructed as values labels. If label doesn't exist for
particular value then this value remain as is - so there is no information
lost. This levels look like as "Variable_label|Value label" if argument
<code>prepend</code> set to TRUE.

Convert labelled variable to factor — fctr

<dl>

<dt>x</dt>
<dd>a vector of data with labels.</dd>


<dt>...</dt>
<dd>optional arguments for <code><a href='https://rdrr.io/r/base/factor.html'>factor</a></code></dd>


<dt>drop_unused_labels</dt>
<dd>logical. Should we drop unused value labels?
Default is FALSE.</dd>


<dt>prepend_var_lab</dt>
<dd>logical. Should we prepend variable label before value
labels? Default is TRUE.</dd>

</dl>

fctr: Convert labelled variable to factor

Description

Usage

Value

Arguments

See Also

Examples