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

In OpenRepGrid: Tools to analyse repertory grid data

Description

Root mean square (RMS) of inter-construct correlations The RMS is also known as 'quadratic mean' of the inter-construct correlations. The RMS serves as a simplification of the correlation table. It reflects the average relation of one construct to all other constructs. Note that as the correlations are squared during its calculation, the RMS is not affected by the sign of the correlation (cf. Fransella, Bell & Bannister, 2003, p. 86).

Usage

constructRmsCor(x, method=c("pearson", "kendall", "spearman"), trim=NA,
    digits=2, output=1)

Arguments

x	repgrid object
method	a character string indicating which correlation coefficient is to be computed. One of "pearson" (default), "kendall" or "spearman", can be abbreviated. The default is "pearson".
trim	the number of characters a construct is trimmed to (default is 7). If NA no trimming occurs. Trimming simply saves space when displaying correlation of constructs with long names.
digits	numeric. Number of digits to round to (default is 2).
output	The type of output printed to the console. output=0 will supress printing of the output.

Value

dataframe of the RMS of inter-construct correlations

Author(s)

Mark Heckmann

References

Fransella, F., Bell, R. C., & Bannister, D. (2003). A Manual for Repertory Grid Technique (2. Ed.). Chichester: John Wiley & Sons.

See Also

constructCor

Examples

## Not run: 

# data from grid manual by Fransella, Bell and Bannister
constructRmsCor(fbb2003)    
constructRmsCor(fbb2003, trim=20, digits=3)

# calculate invisibly
r <- constructRmsCor(fbb2003, out=0) 
r


## End(Not run)

OpenRepGrid documentation built on May 2, 2019, 4:54 p.m.