Description Usage Arguments Value Author(s) References See Also Examples
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.
1  elementCor(x, rc = TRUE, method = "pearson", trim = 20, index = TRUE)

x 

rc 
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
is to be computed. One of 
trim 
The number of characters a construct is trimmed to (default is

index 
Whether to print the number of the construct. 
matrix
of element correlations
Mark Heckmann
Bell, R. C. (2010). A note on aligning constructs. Personal Construct Theory & Practice, (7), 4248.
Cohen, J. (1969). rc: A profile similarity coefficient invariant over variable reflection. Psychological Bulletin, 71(4), 281284.
Mackay, N. (1992). Identification, Reflection, and Correlation: Problems In The Bases Of Repertory Grid Measures. International Journal of Personal Construct Psychology, 5(1), 5775.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  elementCor(mackay1992) # Cohen's rc
elementCor(mackay1992, rc=FALSE) # PM correlation
elementCor(mackay1992, rc=FALSE, method="spearman") # Spearman correlation
# format output
elementCor(mackay1992, trim=6)
elementCor(mackay1992, index=FALSE, trim=6)
# save as object for further processing
r < elementCor(mackay1992)
r
# change output of object
print(r, digits=5)
print(r, col.index=FALSE)
print(r, upper=FALSE)
# accessing elements of the correlation matrix
r[1,3]

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.