The tie_import function prepares binary and continuous data form import into the tiefightR analysis. The user has
to specicy the names of the input columns (if they deviate from the default values in the function argument list). The function
randomizes the response variable for any non chosen item test combination and reports the worth values.
tie_worth( xdata = NULL, esti = "worth", RF = "img1", CF = "img2", id = "ID", RV = "pref_img1", default = NULL, showplot = FALSE, intrans = FALSE, compstudy = NULL, ordn = NULL, r1 = NULL, r2 = NULL, ymin = 0, ymax = 0.5 )
| xdata | imported (binarized) data frame |
|---|---|
| esti | worth estimator (default, "worth", alt: "estimator") |
| RF | name of the reference fluid variable |
| CF | name of the combination fluid variable |
| id | subject IDs |
| RV | name of the response variable |
| default | default item in worth value estimation (usually the lowest worth value) |
| showplot | show worth plot TRUE/FALSE |
| intrans | calculate intransitivities (calculation intense!) |
| compstudy | label of the compiled sub study (used for filtering) |
| ordn | item category order |
| r1 | label of the test item (e.g., "Lake") |
| r2 | label(s) of the remaining item(s) |
| ymin | minimum y-scale of the worth plot |
| ymax | maximum y-scale of the worth plot |
Exports the results of the worth value calculation, including the GNM analysis.