df_element_columns

<p>This dataframe can be converted into a <code>repgrid</code> object via <code>importDataframe()</code>. The dataframe column names are the
minimum of the rating scale (<code>1</code>), the element names (<code>element_1</code> to <code>element_4</code>), the maximum of the rating scale
(<code>5</code>), and optionally a column indicating the <code>preferred</code> pole. Each row contains the constructs' entries (left
pole, ratings, right pole, preferred pole). The preferred pole must be one of <code>left</code>, <code>right</code>, <code>none</code>, <code>NA</code> (see
<code>preferredPoles()</code>). See sample data df_element_columns.</p>

data

Analyze repertory grids, a qualitative-quantitative
data collection technique devised by George A. Kelly in the 1950s. Today, grids are used across
various domains ranging from clinical psychology to marketing. The package contains functions
to quantitatively analyze and visualize repertory grid data (e.g. 'Fransella', 'Bell', & 'Bannister',
2004, ISBN: 978-0-470-09080-0). The package is part of the The package is part of the
<https://openrepgrid.org/> project.

Mark Heckmann

OpenRepGrid

Tools to Analyze Repertory Grid Data

Alejandro García Gutiérrez

Diego Vitali

df_element_columns function

Sample dataframe with grid data (elements are columns) — df_element_columns

Sample dataframe with grid data (elements are columns)

`1`	`element_1`	`element_2`	`element_3`	`element_4`	`5`	`preferred`
`left_pole_1`	`1`	`5`	`3`	`4`	`right_pole_1`	`left`
`left_pole_2`	`3`	`1`	`1`	`3`	`right_pole_2`	`right`
`left_pole_3`	`4`	`2`	`5`	`1`	`right_pole_3`	`none`

df_element_columns: Sample dataframe with grid data (elements are columns)

Description

Arguments

Details

See Also

Examples