plot_numeric_res_pred: Visualizing residuals vs. predicted values for a regression...
In shinymodels: Interactive Assessments of Models
View source: R/regression_diag_plots.R
plot_numeric_res_pred R Documentation
Visualizing residuals vs. predicted values for a regression model
Description
This function plots the predicted values against the residuals based on
tidymodels results for a regression model.
Usage
plot_numeric_res_pred(dat, y_name, size = 1, source = NULL)
Arguments
dat
The predictions data frame in the organize_data() result. Following
variables are required: .outcome, .pred, .color, and .hover.
y_name
The y/response variable for the model.
size
The size for the geom points.
source
A character string of length 1 that matches the source argument
in event_data().
Value
A plotly::ggplotly() object.
shinymodels documentation built on May 29, 2024, 2:22 a.m.
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View source: R/regression_diag_plots.R
| plot_numeric_res_pred | R Documentation |
Visualizing residuals vs. predicted values for a regression model
Description
This function plots the predicted values against the residuals based on tidymodels results for a regression model.
Usage
plot_numeric_res_pred(dat, y_name, size = 1, source = NULL)
Arguments
dat |
The predictions data frame in the |
y_name |
The y/response variable for the model. |
size |
The size for the geom points. |
source |
A character string of length 1 that matches the source argument in event_data(). |
Value
A plotly::ggplotly() object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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