# lm_plot

From model4you v0.9-5
by Heidi Seibold

##### Density plot for a given lm model with one binary covariate.

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

`geom_density`

) be computed?- 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

```
# NOT RUN {
## 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)
# }
```

*Documentation reproduced from package model4you, version 0.9-5, License: GPL-2 | GPL-3*

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