coefplot.data.frame | R Documentation |
Dotplot for coefficients
## S3 method for class 'data.frame' coefplot( model, title = "Coefficient Plot", xlab = "Value", ylab = "Coefficient", interactive = FALSE, lwdInner = 1 + interactive * 2, lwdOuter = if (interactive) 1 else unname((Sys.info()["sysname"] != "Windows") * 0.5), pointSize = 3 + interactive * 5, color = "blue", cex = 0.8, textAngle = 0, numberAngle = 0, shape = 16, linetype = 1, outerCI = 2, innerCI = 1, multi = FALSE, zeroColor = "grey", zeroLWD = 1, zeroType = 2, numeric = FALSE, fillColor = "grey", alpha = 1/2, horizontal = FALSE, facet = FALSE, scales = "free", value = "Value", coefficient = "Coefficient", errorHeight = 0, dodgeHeight = 1, ... )
model |
A data.frame like that built from coefplot(..., plot=FALSE) |
title |
The name of the plot, if NULL then no name is given |
xlab |
The x label |
ylab |
The y label |
interactive |
If 'TRUE' an interactive plot is generated instead of '[ggplot2]' |
lwdInner |
The thickness of the inner confidence interval |
lwdOuter |
The thickness of the outer confidence interval |
pointSize |
Size of coefficient point |
color |
The color of the points and lines |
cex |
The text size multiplier, currently not used |
textAngle |
The angle for the coefficient labels, 0 is horizontal |
numberAngle |
The angle for the value labels, 0 is horizontal |
shape |
The shape of the points |
linetype |
The linetype of the error bars |
outerCI |
How wide the outer confidence interval should be, normally 2 standard deviations. If 0, then there will be no outer confidence interval. |
innerCI |
How wide the inner confidence interval should be, normally 1 standard deviation. If 0, then there will be no inner confidence interval. |
multi |
logical; If this is for |
zeroColor |
The color of the line indicating 0 |
zeroLWD |
The thickness of the 0 line |
zeroType |
The type of 0 line, 0 will mean no line |
numeric |
logical; If true and factors has exactly one value, then it is displayed in a horizontal graph with continuous confidence bounds. |
fillColor |
The color of the confidence bounds for a numeric factor |
alpha |
The transparency level of the numeric factor's confidence bound |
horizontal |
logical; If the plot should be displayed horizontally |
facet |
logical; If the coefficients should be faceted by the variables, numeric coefficients (including the intercept) will be one facet |
scales |
The way the axes should be treated in a faceted plot. Can be c("fixed", "free", "free_x", "free_y") |
value |
Name of variable for value metric |
coefficient |
Name of variable for coefficient names |
errorHeight |
Height of error bars |
dodgeHeight |
Amount of vertical dodging |
... |
Further Arguments |
A graphical display of the coefficients and standard errors from a fitted model, this function uses a data.frame as the input.
a ggplot graph object
Jared P. Lander
coefplot
data(diamonds) head(diamonds) model1 <- lm(price ~ carat + cut*color, data=diamonds) model2 <- lm(price ~ carat*color, data=diamonds) df1 <- coefplot(model1, plot=FALSE) df2 <- coefplot(model2, plot=FALSE) coefplot(df1) coefplot(df2)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.