# indexSelfConstruction: Self construction profile In markheckmann/OpenRepGrid: Tools to Analyze Repertory Grid Data

TBD

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10``` ```indexSelfConstruction( x, self, ideal, others = c(-self, -ideal), method = "euclidean", p = 2, normalize = TRUE, round = FALSE ) ```

## Arguments

 `x` A `repgrid` object. `self` Numeric. Index of self element. `ideal` Numeric. Index of ideal element. `others` Numeric. Index(es) of self related "other" elements (e.g. father, friend). `method` The distance or correlation measure: Distances: `euclidean`, `manhattan`, `maximum`, `canberra`, `binary`, `minkowski` Correlations: `pearson`, `kendall`, `spearman` `p` The power of the Minkowski distance, in case `minkowski` is used as argument for `method`, otherwise it is ignored. `round` Round average rating scores for 'others' to closest integer?

## Value

List object of class `indexSelfConstruction`, containing the results from the calculations:

• `grid`: Recuced grid with seld, ideal and others

• `method_type`: method type (correlation or distance)

• `method`: correlation or distance method used

• `self_element`: name of the self element

• `ideal_element`: name of the ideal element

• `other_elements`: name(s) of other elements

• `self_ideal`: measure between self and ideal

• `self_others`: measure between self and others

• `ideal_others`: measure betwen ideal and others

## Author(s)

Mark Heckmann, José Antonio González Del Puerto

TBD

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16``` ```# using distance measures indexSelfConstruction(boeker, 1, 2, c(3:11), method = "euclidean") indexSelfConstruction(boeker, 1, 2, c(3:11), method = "manhattan") indexSelfConstruction(boeker, 1, 2, c(3:11), method = "minkowski", p = 3) # using correlation measures indexSelfConstruction(boeker, 1, 2, c(3:11), method = "pearson") indexSelfConstruction(boeker, 1, 2, c(3:11), method = "spearman") # using not-normalized distances indexSelfConstruction(boeker, 1, 2, c(3:11), method = "euclidean", normalize = FALSE) # printing the results (biplot only works with) cp <- indexSelfConstruction(boeker, 1, 2, c(3:11)) cp\$grid # grid with self, ideal and others biplot2d(cp\$grid, center = 4) # midopoint centering ```

markheckmann/OpenRepGrid documentation built on April 30, 2021, 2:33 a.m.