R: ggcoef - Plot Model Coefficients with broom and ggplot2

ggcoef {GGally}

R Documentation

ggcoef - Plot Model Coefficients with broom and ggplot2

Description

Plot the coefficients of a model with broom and ggplot2.

Usage

ggcoef(x, mapping = aes_string(y = "term", x = "estimate"), conf.int = TRUE,
  conf.level = 0.95, exponentiate = FALSE, exclude_intercept = FALSE,
  vline = TRUE, vline_intercept = "auto", vline_color = "gray50",
  vline_linetype = "dotted", vline_size = 1, errorbar_color = "gray25",
  errorbar_height = 0, errorbar_linetype = "solid", errorbar_size = 0.5,
  ...)

Arguments

`x`	a model object to be tidied with `tidy` or a data frame (see Details)
`mapping`	default aesthetic mapping
`conf.int`	display confidence intervals as error bars?
`conf.level`	level of confidence intervals (passed to `tidy` if `x` is not a data frame)
`exponentiate`	if `TRUE`, x-axis will be logarithmic (also passed to `tidy` if `x` is not a data frame)
`exclude_intercept`	should the intercept be excluded from the plot?
`vline`	print a vertical line?
`vline_intercept`	`xintercept` for the vertical line. `"auto"` for `x = 0` (or `x = 1` if exponentiate is `TRUE`)
`vline_color`	color of the vertical line
`vline_linetype`	line type of the vertical line
`vline_size`	size of the vertical line
`errorbar_color`	color of the error bars
`errorbar_height`	height of the error bars
`errorbar_linetype`	line type of the error bars
`errorbar_size`	size of the error bars
`...`	additional arguments sent to `geom_point`

Examples

library(broom)
reg <- lm(Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width, data = iris)
ggcoef(reg)

d <- as.data.frame(Titanic)
reg2 <- glm(Survived ~ Sex + Age + Class, family = binomial, data = d, weights = d$Freq)
ggcoef(reg2, exponentiate = TRUE)
ggcoef(reg2, exponentiate = TRUE, exclude_intercept = TRUE, errorbar_height = .2, color = "blue")

[Package GGally version 1.3.2 Index]