buildPlottingPloty.default: buildPlottingPloty.default

In coefplot: Plots Coefficients from Fitted Models

buildPlottingPloty.default

Description

Builds the plotting structure for interactive coefplots

Usage

buildPlottingPloty.default(
  modelCI,
  title = "Coefficient Plot",
  xlab = "Value",
  ylab = "Coefficient",
  lwdInner = 3,
  lwdOuter = 1,
  color = "blue",
  shape = "circle",
  pointSize = 8
)

Arguments

modelCI	An object created by buildModelCI
title	The name of the plot, if NULL then no name is given
xlab	The x label
ylab	The y label
lwdInner	The thickness of the inner confidence interval
lwdOuter	The thickness of the outer confidence interval
color	The color of the points and lines
shape	The shape of the points
pointSize	Size of coefficient point

Details

Uses plotly to make an interactive version of coefplot. Still uses modelCI.

Value

a ggplot graph object

Author(s)

Jared P. Lander

See Also

coefplot.default coefplot buildPlotting.default

Examples

data(diamonds)
mod1 <- lm(price ~ carat + cut, data=diamonds)
theCI1 <- coefplot:::buildModelCI(mod1)
coefplot:::buildPlottingPloty.default(theCI1)
coefplot(mod1, interactive=TRUE)
mod2 <- lm(mpg ~ cyl + qsec - 1, data=mtcars)
mod3 <- lm(mpg ~ cyl + qsec + disp - 1, data=mtcars)
theCI2 <- coefplot:::buildModelCI(mod2)
theCI3 <- coefplot:::buildModelCI(mod3)
coefplot::buildPlottingPloty.default(theCI2)
coefplot::buildPlottingPloty.default(theCI3)
coefplot(mod2, interactive=TRUE)
coefplot(mod3, interactive=TRUE)

mod4 <- glmnet::glmnet(
x=as.matrix(diamonds[, c('carat', 'x', 'y', 'z')]),
y=diamonds$price
)
coefplot(mod4, interactive=TRUE, lambda=0.65)

coefplot documentation built on March 18, 2022, 7:58 p.m.