heatmaps_crm {airt} | R Documentation |
Function to produce heatmaps from a continuous IRTmodel
Description
This function makes a dataframe from the continuous IRTmodel the autoplot function produces the heatmaps.
Usage
heatmaps_crm(model, thetarange = c(-6, 6))
## S3 method for class 'heatmapcrm'
autoplot(
object,
xlab = "Theta",
nrow = 2,
ratio = 1,
col_scheme = "plasma",
...
)
Arguments
model |
Output from the function |
thetarange |
The range for |
object |
For autoplot: output of heatmaps_crm function. |
xlab |
For autoplot: xlabel. |
nrow |
For autoplot: number of rows of heatmaps to plot. |
ratio |
For autoplot: ratio for coord_fixed in ggplot. |
col_scheme |
For autoplot: the color scheme for heatmaps. Default value is plasma. |
... |
Other arguments currently ignored. |
Value
Dataframe with output probabilities from the IRT model for all algorithms, an object of class heatmapcrm.
Examples
data(classification_cts)
model <- cirtmodel(classification_cts)
obj <- heatmaps_crm(model)
head(obj$df)
autoplot(obj)
[Package airt version 0.2.2 Index]