radiant (version 0.1.95)

plot.reg_predict: Plot method for the predict.regression function

Description

Plot method for the predict.regression function

Usage

"plot"(x, reg_xvar = "", reg_facet_row = ".", reg_facet_col = ".", reg_color = "none", reg_conf_level = 0.95, ...)

Arguments

x

Return value from predict.regression.

reg_xvar

Variable to display along the X-axis of the plot

reg_facet_row

Create vertically arranged subplots for each level of the selected factor variable

reg_facet_col

Create horizontally arranged subplots for each level of the selected factor variable

reg_color

Adds color to a scatter plot to generate a heat map. For a line plot one line is created for each group and each is assigned a different colour

reg_conf_level

Confidence level to use for prediction intervals (.95 is the default). Note that the error bars for predicitions are approximations at this point.

...

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 result

summary.regression to summarize results

plot.regression to plot results

predict.regression to generate predictions

Examples

result <- regression("diamonds", "price", c("carat","clarity"))
pred <- predict(result, reg_predict_cmd = "carat = 1:10")
plot(pred, reg_xvar = "carat")
result <- regression("diamonds", "price", c("carat","clarity"), reg_int_var = "carat:clarity")
dpred <- getdata("diamonds") %>% slice(1:100)
pred <- predict(result, reg_predict_data = "dpred")
plot(pred, reg_xvar = "carat", reg_color = "clarity")