lm_plot {model4you} | R Documentation |
Density plot for a given lm model with one binary covariate.
Description
Can be used on its own but is also useable as plotfun in
node_pmterminal
.
Usage
lm_plot(
mod,
data = NULL,
densest = FALSE,
theme = theme_classic(),
yrange = NULL
)
Arguments
mod |
A model of class lm. |
data |
optional data frame. If NULL the data stored in mod is used. |
densest |
should additional to the model density kernel density estimates
(see |
theme |
A ggplot2 theme. |
yrange |
Range of the y variable to be used for plotting. If NULL the range in the data will be used. |
Details
In case of an offset, the value of the offset variable will be set to the median of the values in the data.
Examples
## example taken from ?lm
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
data <- data.frame(weight, group)
lm.D9 <- lm(weight ~ group, data = data)
lm_plot(lm.D9)
## example taken from ?glm (modified version)
data(anorexia, package = "MASS")
anorexia$treatment <- factor(anorexia$Treat != "Cont")
anorex.1 <- glm(Postwt ~ treatment + offset(Prewt),
family = gaussian, data = anorexia)
lm_plot(anorex.1)
[Package model4you version 0.9-7 Index]