df_construct_columns

<p>This dataframe can be converted into a <code>repgrid</code> object via <code>importDataframe()</code>. The columns names are <code>elements</code>
followed by the constructs (<code>left_pole_1:right_pole_1</code> to <code>left_pole_3:right_pole_3</code>). The poles are separated by a
colon by default (change via arg <code>pole_sep</code>). The rows contain the elements' entries (element name and ratings). The
min and max of the rating scale should be passed explicitly via the args <code>rmin</code> and <code>rmax</code>. See sample data
df_construct_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_construct_columns function

Sample dataframe with grid data (constructs are columns) — df_construct_columns

Sample dataframe with grid data (constructs are columns)

`elements`	`left_pole_1:right_pole_1`	`left_pole_2:right_pole_2`	`left_pole_3:right_pole_3`	`element_1`
`5`	`3`	`2`	`element_2`	`3`
`3`	`4`	`element_3`	`1`	`5`
`2`	`element_4`	`4`	`3`	`3`

df_construct_columns: Sample dataframe with grid data (constructs are columns)

Description

Arguments

Details

See Also

Examples