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ggconf provides theme2(), a flexible ggplot2::theme() interface.


g <- ggplot(iris) + geom_point(aes(Sepal.Width, Sepal.Length))

g + theme2(ax.txt(sz=20, f="bold"), ax.ln(col='gray60', sz=2),"white"))
ggconf Example
ggconf Example

The following ggplot2 command generates the same plot.

g + ggplot2::theme(axis.text = element_text(size=20, face="bold"),
                   axis.line = element_line(colour="gray60", size=2),
                   panel.background = element_rect(fill="white"))

Getting Started

If you replace your ggplot2::theme() call with ggconf::theme2() call, ggconf would work. All of the followings return the same plot.

g + theme( axis.text = element_text(size=20, face="bold")) # Style 1: ggplot2 default (50 characters)
g + theme2(axis.text = element_text(size=20, face="bold")) # Style 2: ggconf
g + theme2(axis.text(size=20, face="bold"))                # Style 3: ggconf without element_text()
g + theme2(ax.txt(sz=20, face="bold"))                     # Style 4: ggconf shorter but readable
g + theme2(at(z=20, f="bold"))                             # Style 5: ggconf shortest (25 chars)


ggconf Feature Overview
ggconf Feature Overview

Partial Match

Even if the unique identification is not possible for specified elements (e.g. theme element names or arguments), ggconf tries to execute its best estimate instead of just returning an error.

For the input theme2(ax.txt(sz=20, fc="bold"), ax.ln(col='gray60'),"white")), ggconf performs partial matches six times.


# install.packages("devtools")


Raw ggplot2 plot

gg <- ggplot(mtcars[1:20, ] %>% tibble::rownames_to_column() %>% 
             mutate(car_name = rowname, maker = gsub(" .*", "", car_name) ) ) + 
      #geom_label(aes(mpg, qsec, label = substr(car_name, 1, 13), color=maker),
      geom_point(aes(mpg, qsec, color=maker), size=8) +
      geom_text(aes(mpg, qsec, label=substr(maker, 1, 2)), color="white", fontface="bold") +
      labs(title = "Motor Trend Car Road Tests",
           subtitle = "Top 20 rows are extracted for demonstration", 
           caption = "Source: 1974 Motor Trend US magazine") + 
           scale_x_continuous(breaks=seq(10,34, 4))
ggconf Example
ggconf Example

After finalization

gg + 
       text(f="bold", z=24, fmly="Times New Roman"),      # make all text thicker/larger"white"),, .2, .2, .2, "cm"),"black"),
       lgd.title(fmly="Consolas", c="royalblue"),         # equally-spaced font
       axs.title(fmly="Consolas", c="royalblue"),         # colorize axis titles
       axs.title.y(angle=0, vjust=.5),                    # rotate and centerize y axis label
       axs.line(arrow=arrow(type="open", angle=20), z=2), # 
       axs.tick(z=1),                                     # tick or ticks? It doesn't matter
       axs.tick.len(.5, "cm"),
       plt.subttl(f="plain", hjust=1),
       plt.margin(.3, .3, .3, .1, "inch")                # adjust margins
ggconf Example
ggconf Example
# If using ggplot2::theme():
gg + theme(
  text = element_text(face="bold", size=24, family="Times New Roman"),
  panel.background = element_rect(fill="white"), = margin(0.2,0.2,0.2,0.2,"cm"), = element_rect(colour="black"),
  legend.key = element_rect(fill="white"),
  legend.position = "bottom",
  legend.text = element_text(size=rel(0.8)),
  legend.title = element_text(family="Consolas", colour="royalblue"),
  axis.title = element_text(family="Consolas", colour="royalblue"),
  axis.title.y = element_text(angle=0, vjust=0.5),
  axis.text = element_text(size=rel(1.1)),
  axis.line = element_line(arrow=arrow(type="open",angle=20), size=2),
  axis.ticks = element_line(size=1),
  axis.ticks.length = grid::unit(0.5,"cm"),
  plot.subtitle = element_text(face="plain", hjust=1),
  plot.margin = margin(0.3,0.3,0.3,0.1,"inch")


The goal of ggconf is to make it less stressful to finalize your plots. + adjust colours or lineweights + rotate axis labels + decide tick label intervals and limits

Learning ggconf

ggconf follows original ggplot2 syntax as much as possible for reducing learning costs of current ggplot2 users.

Learning ggplot2 might be the best way to understand ggbash syntax. The document and book of ggplot2 would be helpful.

Other Works

ggconf draws inspiration from some other higher level programming languages including Bash, CoffeeScript, Ruby, and Lisp.

Current Implementation Status

ggbash is first released on August 24, 2017.