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46 lines
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2 KiB
Markdown
46 lines
No EOL
2 KiB
Markdown
# DC_theme_generator : a theme generator for ggplot2
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```ggplot2``` is a fantastic package made available by the great people over at [tidyverse](https://ggplot2.tidyverse.org/). ```ggplot2``` is great for designing plots layer by layer in R. Although ```ggplot2``` provides theming capabilities, the default choices available through the package can seem mundane and unapplealing for making publication quality figures.
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See these examples:
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I found myself writing these ```ggplot2::theme()``` objects everytime I wanted to plot something. So I wrote an R function that allows me to customize some key aspects of ```ggplot2::theme()``` and have a bit more granular control over the aesthetics of the "canvas" of my plots so to speak.
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```DC_theme_generator``` has handpicked defaults that make a plot look beautiful right out of the box.
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## Using DC_theme_generator
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```R
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source("https://gitlab.utu.fi/deecha/ggplot_themes/-/raw/master/DC_theme_generator.R")
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customtheme <- DC_theme_generator(type='L')
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ggplot()+geom_point()+customtheme
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```
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More detailed usage instructions along with an example can be found in the R script ```source.R``` in this repo.
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Here is an example tweaking some of the defaults:
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```R
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source("https://gitlab.utu.fi/deecha/ggplot_themes/-/raw/master/DC_theme_generator.R")
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customtheme <- DC_theme_generator(type = 'L',
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legend = 'F',
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ticks = 'out',
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x.axis.angle = 45,
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hjust = 0.5,
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vjust = 0.5,
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fontsize.cex = 1.8,
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fontfamily = 'mono')
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ggplot(data = dat, aes(x=X, y=Y, color=Class)) + geom_point() + scale_color_manual(values=c("red","blue")) + xlab("X-axis") + ylab("Y-axis") + ggtitle("Customized DC_theme_generator") + customtheme
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```
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The above theme results in a canvas like this:
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