radiant (version 0.1.95)

plot.regression: Plot method for the regression function

Description

Plot method for the regression function

Usage

"plot"(x, reg_plots = "", reg_lines = "", reg_conf_level = 0.95, reg_coef_int = FALSE, shiny = FALSE, ...)

Arguments

x

Return value from regression

reg_plots

Regression plots to produce for the specified regression model. Enter "" to avoid showing any plots (default). "hist" to show histograms 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 dependent variables with each independent variable. "dashboard" for a series of six plots that can be used to evaluate model fit visually. "resid_pred" to plot the independent variables against the model residuals. "coef" for a coefficient plot with adjustable confidence intervals. "leverage" to show leverage plots for each independent variable

reg_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")

reg_conf_level

Confidence level used to estimate confidence intervals (.95 is the default)

reg_coef_int

Include the intercept in the coefficient plot (TRUE, FALSE). FALSE is the default

shiny

Did the function call originate inside a shiny app

...

further arguments passed to or from other methods

Details

See http://vnijs.github.io/radiant/quant/regression.html for an example in Radiant

See Also

regression to generate the results

summary.regression to summarize results

predict.regression to generate predictions

Examples

result <- regression("diamonds", "price", c("carat","clarity"))
plot(result, reg_plots = "dashboard")
plot(result, reg_plots = "dashboard", reg_lines = c("line","loess"))
plot(result, reg_plots = "coef", reg_coef_int = TRUE)
plot(result, reg_plots = "coef", reg_conf_level = .99, reg_coef_int = TRUE)
plot(result, reg_plots = "hist")
plot(result, reg_plots = "scatter", reg_lines = c("line","loess"))
plot(result, reg_plots = "correlations")
plot(result, reg_plots = "leverage")
plot(result, reg_plots = "resid_pred", reg_lines = "line")