Package index • OpenRepGrid

Elements

elementCor(): Calculate the correlations between elements.

elementRmsCor(): Root mean square (RMS) of inter-element correlations.

elements() `elements<-`(): Get or replace element names

statsElements() statsConstructs(): Descriptive statistics for constructs and elements

Constructs

constructCor(): Calculate correlations between constructs.

constructD(): Calculate Somers' d for the constructs.

constructPca(): Principal component analysis (PCA) of inter-construct correlations.

constructPcaLoadings(): Extract loadings from PCA of constructs.

constructRmsCor(): Root mean square (RMS) of inter-construct correlations.

constructs() `constructs<-`() leftpoles() `leftpoles<-`() rightpoles() `rightpoles<-`(): Get or replace construct poles

alignByIdeal(): Align constructs using the ideal element to gain pole preferences.

alignByLoadings(): Align constructs by loadings on first principal component.

permuteConstructs(): Generate a list with all possible construct reflections of a grid.

Distances

distance(): Distance measures (between constructs or elements).

distanceHartmann(): 'Hartmann distance' (standardized Slater distances).

distanceNormalized(): Calculate power-transformed Hartmann distances.

distanceSlater(): Slater distances (standardized Euclidean distances).

Clustering

cluster(): Cluster analysis (of constructs or elements).

clusterBoot(): Multiscale bootstrap cluster analysis.

Grids

midpoint(): Midpoint of the grid rating scale

setScale(): Set the scale range of a grid.

center(): Centering of rows (constructs) and/or columns (elements).

normalize(): Normalize rows or columns by its standard deviation.

perturbate() grids_perturbate(): Perturbate grid ratings

randomGrid(): Generate a random grid (quasis) of prompted size.

randomGrids(): Generate a list of random grids (quasis) of prompted size.

ratings() ratings_df() `ratings<-`(): Extract ratings (wide or long format)

reorder(<repgrid>): Invert construct and element order

reorder2d(): Order grid by angles between construct and/or elements in 2D.

gridlist() is.gridlist() as.gridlist(): Add repgrids into a gridlist

grids_leave_n_out() grids_bootstrap(): Resample constructs

Data Sets

data-bell2010 bell2010: Grid data from Bell (2010).

data-bellmcgorry1992 bellmcgorry1992: Grid data from Bell and McGorry (1992).

data-boeker boeker: Grid data from Boeker (1996).

data-fbb2003 fbb2003: Grid data from Fransella, Bell and Bannister (2003).

data-feixas2004 feixas2004: Grid data from Feixas and Saul (2004).

data-leach2001 leach2001a leach2001b: Pre- and post therapy dataset from Leach et al. (2001).

data-mackay1992 mackay1992: Grid data from Mackay (1992).

data-raeithel raeithel: Grid data from Raeithel (1998).

data-slater1977a slater1977a: Drug addict's grid data set from Slater (1977, p. 32).

data-slater1977b slater1977b: Grid data from Slater (1977).

Settings

settings(): global settings for OpenRepGrid

settingsLoad(): Load OpenRepGrid settings

settingsSave(): Save OpenRepGrid settings

Import and Export Data

importExcel(): Import grid data from an Excel file.

importGridcor(): Import GRIDCOR data files.

importGridstat(): Import Gridstat data files.

importGridsuite(): Import Gridsuite data files.

importScivesco(): Import sci:vesco data files.

importTxt(): Import grid data from a text file.

saveAsExcel(): Save grid in a Microsoft Excel file (.xlsx)

saveAsTxt(): Save grid in a text file (txt).

Plots

bertin(): Make Bertin display of grid data.

bertinCluster(): Bertin display with corresponding cluster analysis.

biplot2d(): Draw a two-dimensional biplot.

biplot3d(): Draw grid in rgl (3D device).

home(): Rotate the interactive 3D device to default views.

biplotEsa2d(): Plot an eigenstructure analysis (ESA) biplot in 2D.

biplotEsa3d(): Draw the eigenstructure analysis (ESA) biplot in rgl (3D device).

biplotEsaPseudo3d(): Plot an eigenstructure analysis (ESA) in 2D grid with 3D impression (pseudo 3D).

biplotPseudo3d(): Draws a biplot of the grid in 2D with depth impression (pseudo 3D).

biplotSimple(): A graphically unsophisticated version of a biplot.

biplotSlater2d(): Draws Slater's INGRID biplot in 2D.

biplotSlater3d(): Draw the Slater's INGRID biplot in rgl (3D device).

biplotSlaterPseudo3d(): Draws Slater's biplot in 2D with depth impression (pseudo 3D).

Indexes

indexBias(): Calculate 'bias' of grid as defined by Slater (1977).

indexBieri(): Bieri's index of cognitive complexity

indexConflict1(): Conflict measure for grids (Slade & Sheehan, 1979) based on correlations.

indexConflict2(): Conflict measure for grids (Bassler et al., 1992) based on correlations.

indexConflict3(): Conflict or inconsistency measure for grids (Bell, 2004) based on distances.

indexDilemma(): Implicative Dilemmas

indexDilemmatic(): Dilemmatic constructs

indexIntensity(): Intensity index

indexPolarization(): Polarization (percentage of extreme ratings)

indexPvaff(): Percentage of Variance Accounted for by the First Factor (PVAFF)

indexSelfConstruction(): Self construction profile

indexVariability(): Calculate 'variability' of a grid as defined by Slater (1977).

indexDDI(): Dispersion of dependency index (DDI)

indexUncertainty(): Uncertainty index

General

OpenRepGrid-package OpenRepGrid: OpenRepGrid: an R package for the analysis of repertory grids.

OpenRepGrid-overview: OpenRepGrid: Annotated overview of package functions.

is.repgrid(): Test if object has class repgrid

`+`(<repgrid>,<repgrid>) `+`(<list>,<repgrid>) `+`(<repgrid>,<list>): Concatenate repgrid objects.

show(<repgrid>): Show method for repgrid

`[`(<repgrid>): Extract parts of the repgrid object.

`[<-`(<repgrid>): Method for "<-" assignment of the repgrid ratings.