Description Usage Arguments Methods (by generic) See Also Examples
Wraps stats::cor
to calculate correlation coefficients.
Construct S3 class for pensieve.
Check S3 class.
Plot S3 class.
1 2 3 4 5 6 7 8 9 |
csorts |
|
method |
A character string indicating which correlation coeffocient to use.
Must be |
use |
A character string giving a method for computing covariances in the presence of missing data.
Must be |
cors |
A numerical matrix with correlations. |
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 |
n_obs |
Integer scalar, giving the number of observations (here: items), on which the correlations are based.
Defaults to |
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:
extract()
,
score()
Other S3 classes from pensieve
:
extract()
,
psClosedSorts()
,
psGrid()
,
psItemContent()
,
psOpenSorts()
,
psOpenSort()
,
psPeople()
,
score()
Other plotting functions:
extract()
,
psClosedSorts()
1 2 3 4 5 6 7 8 9 10 11 | # this just runs the calculations, but also classes and validates the results
cors <- correlate(csorts = civicon_2014$qData$sorts[,,"before"])
# this just assigns the class, without validation (not recommended)
cors <- QCors(cors = cors, validate = FALSE)
# this validates the class
check(cors)
# makes a heatmap
plot(x = cors, use_js = NULL, type = "heatmap", n_obs = NULL)
# makes density estimate
plot(x = cors, use_js = NULL, type = "density", n_obs = nrow(civicon_2014$qData$sorts[,,"before"]))
|
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