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).
constructRmsCor(x, method = "pearson", trim = NA)dataframe of the RMS of inter-construct correlations
repgrid object
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".
The number of characters a construct is trimmed to (default is
NA). If NA no trimming occurs. Trimming
simply saves space when displaying correlation of constructs
with long names.
Fransella, F., Bell, R. C., & Bannister, D. (2003). A Manual for Repertory Grid Technique (2. Ed.). Chichester: John Wiley & Sons.
elementRmsCor(), constructCor()
# data from grid manual by Fransella, Bell and Bannister
constructRmsCor(fbb2003)
constructRmsCor(fbb2003, trim = 20)
# modify output
r <- constructRmsCor(fbb2003)
print(r, digits = 5)
# access calculation results
r[2, 1]
Run the code above in your browser using DataLab