plot.regress: Plot method for the regress function

In radiant-rstats/radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Plot method for the regress function

Description

Plot method for the regress function

Usage

## S3 method for class 'regress'
plot(
  x,
  plots = "",
  lines = "",
  conf_lev = 0.95,
  intercept = FALSE,
  incl = NULL,
  excl = NULL,
  incl_int = NULL,
  nrobs = -1,
  shiny = FALSE,
  custom = FALSE,
  ...
)

Arguments

x	Return value from regress
plots	Regression plots to produce for the specified regression model. Enter "" to avoid showing any plots (default). "dist" to shows histograms (or frequency bar plots) of all variables in the model. "correlations" for a visual representation of the correlation matrix selected variables. "scatter" to show scatter plots (or box plots for factors) for the response variable with each explanatory variable. "dashboard" for a series of six plots that can be used to evaluate model fit visually. "resid_pred" to plot the explanatory variables against the model residuals. "coef" for a coefficient plot with adjustable confidence intervals and "influence" to show (potentially) influential observations
lines	Optional lines to include in the select plot. "line" to include a line through a scatter plot. "loess" to include a polynomial regression fit line. To include both use c("line", "loess")
conf_lev	Confidence level used to estimate confidence intervals (.95 is the default)
intercept	Include the intercept in the coefficient plot (TRUE, FALSE). FALSE is the default
incl	Which variables to include in a coefficient plot or PDP plot
excl	Which variables to exclude in a coefficient plot
incl_int	Which interactions to investigate in PDP plots
nrobs	Number of data points to show in scatter plots (-1 for all)
shiny	Did the function call originate inside a shiny app
custom	Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and https://ggplot2.tidyverse.org for options.
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/model/regress.html for an example in Radiant

See Also

regress to generate the results

summary.regress to summarize results

predict.regress to generate predictions

Examples

result <- regress(diamonds, "price", c("carat", "clarity"))
plot(result, plots = "coef", conf_lev = .99, intercept = TRUE)
## Not run: 
plot(result, plots = "dist")
plot(result, plots = "scatter", lines = c("line", "loess"))
plot(result, plots = "resid_pred", lines = "line")
plot(result, plots = "dashboard", lines = c("line", "loess"))

## End(Not run)

radiant-rstats/radiant.model documentation built on Nov. 29, 2023, 5:59 a.m.