| distractor_plot {dexter} | R Documentation | 
Distractor plot
Description
Produce a diagnostic distractor plot for an item
Usage
distractor_plot(
  dataSrc,
  item_id,
  predicate = NULL,
  legend = TRUE,
  curtains = 10,
  adjust = 1,
  col = NULL,
  ...
)
Arguments
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.  | 
Details
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')
Value
Silently, a data.frame of response categories and colors used. Potentially useful if you want to customize the legend or print it separately