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`ggshadow`: Shadow Geoms for ggplot2

:arrow_double_down: Installation

Get the development version from github:

## install.packages("devtools")
devtools::install_github("marcmenem/ggshadow")

:book: Vignette

## after installing the package
vignette("ggshadow", package="ggshadow")

:chart: Example

With ggshadow

library(ggplot2)
library(ggshadow)

ggplot(economics_long, aes(date, value01, colour = variable)) + geom_shadowline()

Without ggshadow

library(ggplot2)

ggplot(economics_long, aes(date, value01, colour = variable)) + geom_line()

`ggshadow` supports varying the line color

library(ggshadow)
library(ggplot2)

ggplot(economics_long, 
        aes(date, value01, 
            group = variable, 
            colour=value01, 
            shadowcolor='grey', 
            shadowalpha=0.5, 
            shadowsize=5*(1-value01))) + 
    geom_shadowline()

`ggshadow` also provides a Neon glow style

```{r fig.height=7, fig.width=7}

ggplot(economics_long, aes(date, value01, color = variable)) + geom_glowline() + guides(color=‘none’) + theme(plot.background = element_rect(fill = “#190132”), panel.background = element_rect(fill = “#190132”))


![glowline](example-glow.png)


### Neon glow points

```{r}

ggplot(mtcars, aes(wt, mpg)) + 
  geom_glowpoint(color='yellow') + 
  guides(color='none') + 
  theme(plot.background = element_rect(fill = "#190132"),
        panel.background = element_rect(fill = "#190132"))

Adding a fill below the neon glow line

library(dplyr)

ggplot(filter( economics_long, variable %in% c('pop', 'unemploy') ), 
    aes(date, value01-0.5, color = variable, fill=variable)) + 
    geom_glowline() + guides(color='none', shadowcolour='none', fill='none') + 
    theme(plot.background = element_rect(fill = "#190132"),
           panel.background = element_rect(fill = "#190132"))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.

ggshadow: Shadow Geoms for ggplot2