buildPlottingPloty.default {coefplot} | R Documentation |
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 |
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)
[Package coefplot version 1.2.8 Index]