distractor_plot | R Documentation |
Produce a diagnostic distractor plot for an item
distractor_plot(
dataSrc,
item_id,
predicate = NULL,
legend = TRUE,
curtains = 10,
adjust = 1,
col = NULL,
...
)
dataSrc |
a connection to a dexter database or a data.frame with columns: person_id, item_id, response, item_score and optionally booklet_id |
item_id |
The ID of the item to plot. A separate plot will be produced for each booklet that contains the item, or an error message if the item_id is not known. Each plot contains a non-parametric regression of each possible response on the total score. |
predicate |
An optional expression to subset data, if NULL all data is used |
legend |
logical, whether to include the legend. default is TRUE |
curtains |
100*the tail probability of the sum scores to be shaded. Default is 10. Set to 0 to have no curtains shown at all. |
adjust |
factor to adjust the smoothing bandwidth respective to the default value |
col |
vector of colors to use for plotting. The names of the vector can be responses. If the vector is not named, colors are assigned to the most frequent responses first. |
... |
further arguments to plot. |
Customization of title and subtitle can be done by using the arguments main and sub.
These arguments can contain references to the variables item_id, booklet_id, item_position(if available),
pvalue, rit and rir. References are made by prefixing these variables with a dollar sign. Variable names may be postfixed
with a sprintf style format string, e.g.
distractor_plot(db, main='item: $item_id', sub='Item rest correlation: $rir:.2f')
Silently, a data.frame of response categories and colors used. Potentially useful if you want to customize the legend or print it separately
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