Description Usage Arguments Methods (by generic) See Also Examples
Wraps Principal Components Analysis (PCA) to extract component loadings.
Construct S3 class for pensieve.
Check S3 class.
Plot S3 class.
1 2 3 4 5 6 7 8 9 |
cors |
A numerical matrix with correlations. |
nfactors |
Positive, non-zero integer scalar, giving the number of components (or factors) to retain.
Must be smaller than the number of observations (here: items) on which |
fa_type |
String giving the type of factor analysis performed.
Currently only |
loas |
A numerical matrix with loadings. |
validate |
a logical flag, indicating whether the object will be validated on construction.
Defaults to |
x |
class object created by respective constructor function. |
summarize |
A logical flag, indicating whether the object should be summarized before plotting.
If Defaults to |
by |
A character string indicating by which dimension to plot.
Must be |
r2 |
Logical flag, indicating whether the squared loadings should be plotted.
If |
use_js |
A logical flag, indicating whether an interactive, java-script variant of the plot should be returned.
Defaults to |
... |
Arguments passed onto other methods. Not currently used. |
check
: validation
plot
: plotting
Other analysis functions:
correlate()
,
score()
Other S3 classes from pensieve
:
correlate()
,
psClosedSorts()
,
psGrid()
,
psItemContent()
,
psOpenSorts()
,
psOpenSort()
,
psPeople()
,
score()
Other plotting functions:
correlate()
,
psClosedSorts()
1 2 3 4 5 6 7 8 9 10 | # this just runs the calculations, but also classes and validates the results
cors <- correlate(csorts = civicon_2014$qData$sorts[,,"before"]) # preliminary step
loas <- extract(cors = cors, nfactors = 3, fa_type = "pca")
# this just assigns the class, without validation (not recommended)
loas <- QLoas(loas = loas, validate = FALSE)
# this validates the class
check(loas)
# makes a barchart
plot(x = loas, use_js = NULL, by = "people")
plot(x = loas, use_js = NULL, by = "both")
|
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