Correlate Q Sorts.

Wraps stats::cor to calculate correlation coefficients.

Construct S3 class for pensieve.

Check S3 class.

Plot S3 class.

correlate(csorts, method = "spearman", use = "pairwise.complete.obs")

QCors(cors, validate = TRUE)

# S3 method for QCors
check(x)

# S3 method for QCors
plot(x, summarize = NULL, n_obs = NULL, use_js = NULL, ...)

Arguments

csorts	[matrix()] An numeric matrix with people as rows, item handles as columns and item positions in cells.
method	A character string indicating which correlation coeffocient to use. Must be "pearson", "kendall" or "spearman" (recommended default).
use	A character string giving a method for computing covariances in the presence of missing data. Must be "everything", "all.obs",, "complete.obs", "na.or.complete" or "pairwise.complete.obs" (recommended default). For more information, see stats::cor()
cors	A numerical matrix with correlations.
validate	a logical flag, indicating whether the object will be validated on construction. Defaults to TRUE.
x	class object created by respective constructor function.
summarize	A logical flag, indicating whether the object should be summarized before plotting. If TRUE, a plot with a density estimate of individual data points is returned, suitable for medium to large objects (numbers of people-variables). If FALSE, a plot with individual data points is returned, suitable for small to medium-sized objects (numbers of people-variables). Defaults to NULL, in which case the appropriate plot is inferred from the size.
n_obs	Integer scalar, giving the number of observations (here: items), on which the correlations are based. Defaults to NULL. If given, type = density includes a density estimate for Pearson's $r$ in random data.
use_js	A logical flag, indicating whether an interactive, java-script variant of the plot should be returned. Defaults to NULL, in which case the appropriate output is inferred from the runtime environment.
...	Arguments passed onto other methods. Not currently used.

Methods (by generic)

• check: validation

• plot: plotting

See also

Other analysis functions: extract(), score()

Other S3 classes from pensieve: extract(), psClosedSorts(), psGrid(), psItemContent(), psOpenSorts(), psOpenSort(), psPeople(), score()

Other plotting functions: extract(), psClosedSorts()

Examples

# 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)
#> [1] TRUE
# 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"]))