https://github.com/hriebl/ggnuplot

Make your ggplots look like gnuplots
https://github.com/hriebl/ggnuplot

data-visualization ggplot2 ggplot2-theme r visualization

Last synced: about 2 months ago
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Make your ggplots look like gnuplots

• Host: GitHub
• URL: https://github.com/hriebl/ggnuplot
• Owner: hriebl
• License: other
• Created: 2020-02-08T00:01:24.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-06-01T14:49:06.000Z (over 4 years ago)
• Last Synced: 2024-10-30T05:05:29.232Z (about 2 months ago)
• Topics: data-visualization, ggplot2, ggplot2-theme, r, visualization
• Language: R
• Size: 2.45 MB
• Stars: 6
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# ggnuplot

ggnuplot is a [ggplot2](https://ggplot2.tidyverse.org/) theme that makes your

ggplots look like [gnuplots](http://www.gnuplot.info/). This may be helpful if

you use both ggplot2 and gnuplot in one project.

## Installation

You can install the development version of ggnuplot from

[GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("hriebl/ggnuplot")

```

## Examples

ggnuplot features inward ticks and secondary axes. It also comes with gnuplot's

default color palette. Here is what it looks like:

```{r example1, dpi = 300, fig.width = 10}

library(ggplot2)

library(ggnuplot)

ggplot(iris, aes(Sepal.Width, Sepal.Length, color = Species)) +

  geom_point() +

  scale_color_gnuplot() +

  scale_x_gnuplot() +

  scale_y_gnuplot() +

  theme_gnuplot()

```

And one example with facets:

```{r example2, dpi = 300, fig.width = 10, message = FALSE, warning = FALSE}

set.seed(1337)

df <- data.frame(

  y = rnorm(2000),

  x = rep(1:500, times = 4),

  cat1 = rep(c("Foo", "Bar", "Foo", "Bar"), each = 500),

  cat2 = rep(c("Wibble", "Wobble"), each = 1000)

)

ggplot(df, aes(x, y)) +

  geom_line(color = gnucolors[1]) +

  geom_smooth(color = gnucolors[1], size = 1.5, se = FALSE) +

  facet_grid(vars(cat1), vars(cat2)) +

  xlab("MCMC Iterations") +

  ylab(NULL) +

  scale_x_gnuplot(expand = c(0, 0)) +

  scale_y_gnuplot(limits = c(-3.5, 3.5)) +

  theme_gnuplot()

```

I wish my samplers worked that well!