Description Usage Arguments Value See Also
View source: R/fun_replicate-simulation-for-roc.R
This function repeatedly simulates data that are distorted by response style. It makes use of the scale scores \bar{X}—which are influenced by both the attribute and response style—as well as the true person parameters θ_1, that is, the persons' standing on the attribute, which is unaffected by response style. These two scores are used to classify each individual at certain cutoff values as either above (i.e., positive) or below (i.e., negative) the cutoff. Subsequently, the true positive rate (TPR), the false positive rate (FPR), the precision, and the accuracy are calculated at every cutoff value.
1 2 3 | predict_style(reps = 100, n = 200, items = 10, categ = 5, ndimc = 1,
style = NULL, reversed = 1/3, mu.s = 0, var.s, sig = NULL,
emp = TRUE, cutoff, ...)
|
reps |
Desired number of replications |
n |
Numeric. Desired number of observations/persons. |
items |
Numeric. Desired number of items/stimuli. If |
categ |
Numeric. Desired number of categories per item. |
ndimc |
Numeric. Desired number of content-related latent variables (irrespective of number of style-related latent variables). |
style |
Parameter to specify which response style(s) influence the data,
can be either numeric or character. Users may choose one or more among
|
reversed |
Numeric. Indicates the number of reverse-coded items. Can be either a
ratio between 0 and 1 indicating the ratio of reverse-coded items or an
integer between 0 and |
mu.s |
Numeric. The mean(s) of the response style distribution. |
var.s |
Numeric. The variance(s) of the response style distribution. |
sig |
Numeric matrix. The variance-covariance matrix of the multivariate
distribution of thetas. If non-NULL, this overrides |
emp |
Logical. If true, |
cutoff |
Optional numeric vector. Desired cutoff- (alpha-) values at which to calculate TPR, FPR, etc; probably a sequence, for example from .95 to .05 (must be within the open interval of (0, 1)) |
... |
Other parameters passed to |
alpha |
The cutoff-/alpha-values |
TPR |
True positive rate |
FPR |
False positive rate |
PREC |
Precision |
ACC |
Accuracy |
|
Further elements containing the input parameters |
The replicated function sim_style_data
.
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