Trelliscope Visualisation of Overimputation Diagnostics
Source:R/trellis_vismi_overimp.R
trellis_vismi_overimp.RdGenerates a Trelliscope display for overimputation diagnostics across all variables.
Usage
trellis_vismi_overimp(
obj,
m = NULL,
imp_idx = NULL,
integerAsFactor = FALSE,
num_plot = "cv",
fac_plot = "cv",
train_color_pal = NULL,
test_color_pal = NULL,
stack_y = FALSE,
diag_color = NULL,
seed = 2025,
nrow = 2,
ncol = 4,
path = NULL,
...
)Arguments
- obj
An object of class 'overimp' containing imputed datasets and parameters.
- m
A single positive integer specifying the number of imputed datasets to plot. It should be smaller than the total number of imputed datasets in the object. Default is NULL ( plot all).
- imp_idx
A vector of integers specifying the indices of imputed datasets to plot. Default is NULL (plot all).
- integerAsFactor
A logical indicating whether integer variables should be treated as factors. Default is FALSE (treated as numeric).
- num_plot
A character string specifying the type of plot for numeric variables. Options are "cv" (cross-validation), "ridge", or "density". Default is "cv".
- fac_plot
A character string specifying the type of plot for categorical variables. Options are "cv" (cross-validation), "bar", or "dodge". Default is "cv".
- train_color_pal
A vector of colors for the training data. If NULL, default colors will be used.
- test_color_pal
A vector of colors for the test data. If NULL, default colors will be used.
- stack_y
A logical indicating whether to stack y-values in the plots. Default is FALSE.
- diag_color
A color specification for the diagonal line in the plots. Default is NULL.
- seed
An integer seed for reproducibility. Default is 2025.
- nrow
Number of rows in the Trelliscope display. Default is 2.
- ncol
Number of columns in the Trelliscope display. Default is 4.
- path
Optional path to save the Trelliscope display. If NULL, the display will not be saved to disk.
- ...
Additional arguments to customize the plots, such as point_size, xlim, ylim.