Description Usage Arguments Value Author(s) References See Also Examples
Various methods for rotation and methods for the calculation of the
correlations are available. Note that the number of factors
has to be specified. For more information on the PCA function itself type
?principal
.
1 2 3 4 5 6 7  constructPca(
x,
nfactors = 3,
rotate = "varimax",
method = "pearson",
trim = NA
)

x 

nfactors 
Number of components to extract (default is 
rotate 

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

Returns an object of class constructPca
.
Mark Heckmann
Fransella, F., Bell, R. & Bannister, D. (2003). A Manual for Repertory Grid Technique (2. Ed.). Chichester: John Wiley & Sons.
To extract the PCA loadings for further processing see
constructPcaLoadings
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24  ## Not run:
constructPca(bell2010)
# data from grid manual by Fransella et al. (2003, p. 87)
# note that the construct order is different
constructPca(fbb2003, nfactors=2)
# no rotation
constructPca(fbb2003, rotate="none")
# use a different type of correlation (Spearman)
constructPca(fbb2003, method="spearman")
# save output to object
m < constructPca(fbb2003, nfactors=2)
m
# different printing options
print(m, digits=5)
print(m, cutoff=.3)
## End(Not run)

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