R ggplot2 facetting keep ratio but override/define output plot size

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臣服心动
臣服心动 2021-02-06 10:58

I\'m currently using ggplot2 to compare statistics from different groups, each belonging to a different region. This is done via a web application (tikiwiki CMS + plugin R), who

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  • 2021-02-06 11:11

    you can edit the gtable setting the heights to physical units (e.g. cm) instead of relative ("null")

    require(ggplot2)
    p = qplot(Sepal.Width, Sepal.Length, data=iris) + facet_wrap(~Species, ncol=1)
    g = ggplotGrob(p)
    
    panels = which(sapply(g[["heights"]], "attr", "unit") == "null")
    g[["heights"]][panels] = list(unit(4, "cm"), unit(8, "cm"), unit(2, "cm"))
    
    device.height = convertHeight(sum(g[["heights"]]), "in", valueOnly=TRUE)
    
    pdf("test.pdf", height = device.height)
    grid.draw(g)
    dev.off()
    

    enter image description here

    Edit As a follow-up, here's a function to set the height and width of all panels to a fixed value,

    freeze_panels <- function(p, draw=TRUE,
                              width=unit(5,"cm"),
                              height=unit(1,"in")){
      require(grid)
      g  <-  ggplotGrob(p)
    
      vertical_panels <-which(sapply(g[["heights"]], "attr", "unit") == "null")
      horizontal_panels <-which(sapply(g[["widths"]], "attr", "unit") == "null")
    
      g[["heights"]][vertical_panels] <- replicate(length(vertical_panels), 
                                                   height, simplify=FALSE)
    
      g[["widths"]][horizontal_panels] <- replicate(length(horizontal_panels), 
                                                   width, simplify=FALSE)
    
      device.height  <-  convertHeight(sum(g[["heights"]]), "in", valueOnly=TRUE)
      device.width  <-  convertWidth(sum(g[["widths"]]), "in", valueOnly=TRUE)
      if(draw){
        dev.new(height=device.height, width=device.width)
        grid.newpage()
        grid.draw(g)
      }
      invisible(g)
    }
    
    
    
    require(ggplot2)
    d1 <- subset(mtcars, carb != 8)
    d2 <- subset(mtcars, carb %in% c(1,2,3))
    p = qplot(vs, am, data=d1) + facet_wrap(~carb)
    
    freeze_panels(p)
    freeze_panels(p %+% d2)
    freeze_panels(p %+% d2 + facet_wrap(~carb, ncol=1))
    
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