Description Usage Arguments Value Author(s) References See Also Examples
Calculate the correlations between elements.
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 2 3 | elementCor(x, rc=TRUE, method=c("pearson", "kendall", "spearman"),
trim=20, index=FALSE, col.index=TRUE, digits=2,
output=1, upper=T)
|
x |
|
rc |
Use Cohen's rc which is invariant to construct reflection (see notes). It is used as 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. |
col.index |
Logical. Whether to add an extra index column so the
column names are indexes instead of construct names. This option
renders a neater output as long construct names will stretch
the output (default is |
digits |
Numeric. Number of digits to round to (default is
|
output |
The type of output printed to the console. |
upper |
Whether to display upper triangle of correlation matrix only
(default is |
matrix
of element correlations
Mark Heckmann
Bell, R. C. (2010). A note on aligning constructs. Personal Construct Theory & Practice, (7), 42-48.
Cohen, J. (1969). rc: A profile similarity coefficient invariant over variable reflection. Psychological Bulletin, 71(4), 281-284.
Mackay, N. (1992). Identification, Reflection, and Correlation: Problems In The Bases Of Repertory Grid Measures. International Journal of Personal Construct Psychology, 5(1), 57-75.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Not run:
elementCor(mackay1992) # Cohen's rc
elementCor(mackay1992, rc=F) # PM correlation
elementCor(mackay1992, rc=F, meth="spear") # Spearman correlation
# format output
elementCor(mackay1992, upper=F)
elementCor(mackay1992, col.index=F, trim=6)
elementCor(mackay1992, index=T, col.index=F, trim=6)
# save as object for further processing.
# no visible output.
r <- elementCor(mackay1992, trim=6, out=0)
r
## End(Not run)
|
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