ggplot2:: Facetting plot with the same reference plot in all panels

后端 未结 1 996
春和景丽
春和景丽 2021-01-24 23:42

I would like to facet a plot, but with a reference plot in each panel. Let me try to show with pictures what I want to achieve: My example data_frame:

require(dp         


        
相关标签:
1条回答
  • 2021-01-25 00:00

    Maybe like so.

    library(dplyr)
    library(ggplot2)
    
    df1 <- filter(df, id == 'ctr')
    df2 <- filter(df, id == 'pat')
    df2 <- dplyr::rename(df2, class_2 = class)
    
    p_ctr <- ggplot() + 
     geom_line(data = df1, aes(x=rank, y=mean, color=exam)) +
     geom_ribbon(data = df1,
                 aes(x = rank, ymax = mean+sd, ymin = mean-sd, fill = exam),
                 alpha = .1) +
     scale_colour_manual(values = c("#00b6eb","#eb0041")) +
     scale_fill_manual(values = c("#00b6eb","#eb0041")) +
     geom_line(data = df2,
               aes(x=rank, y=mean)) +
     geom_ribbon(data = df2,
                 aes(x = rank, ymax = mean+sd, ymin = mean-sd),
                 alpha = .1) +
     facet_grid(class_2 ~ exam)
    
    p_ctr
    

    Using facet_wrap gives me the following error:

    error in gList(list(x = 0.5, y = 0.5, width = 1, height = 1, just = "centre", : only 'grobs' allowed in "gList"


    You probably came across this plot while looking for the solution.

    p_ctr + geom_line(data = filter(df, id == 'pat'), 
                      aes(x=rank, y=mean)) +
            geom_ribbon(data = filter(df, id == 'pat'), 
                        aes(x = rank, ymax = mean+sd, ymin = mean-sd), 
                        alpha = .1) +
          # facet_wrap(~exam) +
            facet_grid(class ~ exam)
    

    This is basically your reference plot and its overlay, without the linetype and group arguments. Additionally I faceted by class ~ exam. From this plot you see that 'the problem' is that class contains three unique elements: a, b and ctr. That's why I renamed the variable class in df2 to be class_2 which has only two unique elements: a and b. Faceting by class_2 ~ exam then gives the desired output.

    I hope this helps.

    0 讨论(0)
提交回复
热议问题