Description Usage Arguments Details Value Author(s) References See Also Examples
The RMS is also known as 'quadratic mean' of the interelement correlations. The RMS serves as a simplification of the correlation table. It reflects the average relation of one element with all other elements. 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).
1  elementRmsCor(x, rc = TRUE, method = "pearson", trim = NA)

x 

rc 
Whether to use Cohen's rc which is invariant to construct reflection (see desciption above). It is used as the default. 
method 
A character string indicating which correlation coefficient
to be computed. One of 
trim 
The number of characters an element is trimmed to (default is

Note that simple element correlations as a measure of similarity
are flawed as they are not invariant to construct reflection (Mackay, 1992;
Bell, 2010). A correlation index invariant to construct reflection is
Cohen's rc measure (1969), which can be calculated using the argument
rc=TRUE
which is the default option in this function.
dataframe
of the RMS of interelement correlations
Mark Heckmann
Fransella, F., Bell, R. C., & Bannister, D. (2003). A Manual for Repertory Grid Technique (2. Ed.). Chichester: John Wiley & Sons.
1 2 3 4 5 6 7 8 9 10  # data from grid manual by Fransella, Bell and Bannister
elementRmsCor(fbb2003)
elementRmsCor(fbb2003, trim=10)
# modify output
r < elementRmsCor(fbb2003)
print(r, digits=5)
# access second row of calculation results
r[2, "RMS"]

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