Scientific plots using ggplot2 in R

Below you can find the R code to create a publication-ready plot. You can change the details of the theme() functions to tail the plot to your needs.


# Loading required libraries
library(ggplot2)
library(grid)

# Load the function
theme_science1 <- function(base_size = 18,
                           facet_border_col = "white",
                           legend_justification = c(0,1),
                           legend_position = c(0,1)){

  theme_bw(base_size = base_size) +
  theme(axis.line = element_line(size = 0.7, color = 'black'),
            panel.border = element_blank(),
            panel.grid.major = element_line(size = 0.1, color = "grey90", linetype = "dotted"),
            axis.title.x = element_text(face="bold", colour="black", size = base_size*1.5, vjust = -0.3),
            axis.text.x  = element_text(face="plain", colour="black", size = base_size),
            axis.title.y = element_text(face="bold", colour="black", size = base_size*1.5, , vjust = 1.5),
            axis.text.y  = element_text(face="plain", colour="black", size = base_size),
            plot.title = element_text(face="bold", size = base_size*2),
            legend.title = element_text(size = base_size*1.5),
            legend.text = element_text(face="plain", size = base_size),
            legend.key.height= grid::unit(2,"line"),
            legend.key = element_blank(),
            legend.background = element_rect(colour = "black", fill = "white"),
            strip.background = element_rect(fill = 'white', colour = "white"),
            strip.text.x = element_text(size = base_size*1.5),
            strip.text.y = element_text(size = base_size*1.5),
            panel.background = element_rect(colour = facet_border_col, size = 0.7),
            legend.justification = legend_justification,
            legend.position=legend_position)
}


# Data and plot
data(airquality)
gp <- ggplot(airquality, aes(x=Wind,y=Ozone)) +
  geom_point(shape=16,size=3) +
  geom_smooth(method="lm") +
  theme_science1()

Here it is an example:

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