constructPca | R Documentation |
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
.
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
.
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()
.
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)
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