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在ggplot2中的绘图中添加指向x轴的箭头

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我的目标是获得一个带有指向我x轴的文本的箭头,以标记平均词频 . 我无法弄清楚如何在ggplot2中的绘图区域之外获得箭头或文本 .

这是我的代码:

ggplot(SUMMARY.PCTDIFF, aes(principle, pctdiff)) +xlab("Principle")+ylab("% Difference")+
    geom_bar(aes(fill = Sector),position = "dodge", stat="identity",col="black")+
    ggtitle("How Differing Sectors Talk about Different Co-operative Principles")+theme(plot.title=element_text(hjust=0.5),panel.border = element_rect(colour = "black", fill=NA, size=1),legend.background = element_rect(color = "black"),legend.position =c(1.10,0.7),plot.margin=unit(c(0.5,3,0.5,0.5),"cm"))+
    geom_hline(yintercept = 0)

这是我的数据:

structure(list(principle = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 
7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 
3L, 4L, 5L, 6L, 7L), .Label = c("principle 1", "principle 2", 
"principle 3", "principle 4", "principle 5", "principle 6", "principle 7"
), class = "factor"), pctdiff = c(-6.71369900758148, 9.44233503731219, 
11.0107840625484, -53.1259224412594, -9.22356636157099, -41.0142340880256, 
-9.6288000905822, -55.3759198976217, -19.1012386886889, -75.4996296064581, 
-44.7688906852688, -58.5771031808126, 48.9559446961189, 4.52522805921763, 
29.4368505336144, 51.7181015822617, -2.26377179780978, 48.1990295720174, 
57.4736669182075, 8.41689226435695, -15.8983115124042, 30.6261564806236, 
79.5018869249509, 87.2542807992621, -15.3228747516659, 13.5915020818539, 
48.2301858238767), Sector = c("AG", "AG", "AG", "AG", "AG", "AG", 
"AG", "FIN", "FIN", "FIN", "FIN", "FIN", "FIN", "FIN", "SERV", 
"SERV", "SERV", "SERV", "SERV", "SERV", "SERV", "OTHER", "OTHER", 
 "OTHER", "OTHER", "OTHER", "OTHER")), .Names = c("principle", 
 "pctdiff", "Sector"), row.names = c(NA, -27L), class = "data.frame")

1 回答

  • 2
    df <- structure(list(principle = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 
    7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 
    3L, 4L, 5L, 6L, 7L), .Label = c("principle 1", "principle 2", 
    "principle 3", "principle 4", "principle 5", "principle 6", "principle 7"
    ), class = "factor"), pctdiff = c(-6.71369900758148, 9.44233503731219, 
    11.0107840625484, -53.1259224412594, -9.22356636157099, -41.0142340880256, 
    -9.6288000905822, -55.3759198976217, -19.1012386886889, -75.4996296064581, 
    -44.7688906852688, -58.5771031808126, 48.9559446961189, 4.52522805921763, 
    29.4368505336144, 51.7181015822617, -2.26377179780978, 48.1990295720174, 
    57.4736669182075, 8.41689226435695, -15.8983115124042, 30.6261564806236, 
    79.5018869249509, 87.2542807992621, -15.3228747516659, 13.5915020818539, 
    48.2301858238767), Sector = c("AG", "AG", "AG", "AG", "AG", "AG", 
    "AG", "FIN", "FIN", "FIN", "FIN", "FIN", "FIN", "FIN", "SERV", 
    "SERV", "SERV", "SERV", "SERV", "SERV", "SERV", "OTHER", "OTHER", 
     "OTHER", "OTHER", "OTHER", "OTHER")), .Names = c("principle", 
     "pctdiff", "Sector"), row.names = c(NA, -27L), class = "data.frame")
    
    library(ggplot2)
    library(grid)
    p <- ggplot(df, aes(principle, pctdiff)) +xlab("Principle")+ylab("% Difference")+
        geom_bar(aes(fill = Sector),position = "dodge", stat="identity",col="black")+
        ggtitle("How Differing Sectors Talk about Different Co-operative Principles")+theme(plot.title=element_text(hjust=0.5),panel.border = element_rect(colour = "black", fill=NA, size=1),legend.background = element_rect(color = "black"),legend.position =c(1.10,0.7),plot.margin=unit(c(0.5,3,0.5,0.5),"cm"))+
        geom_hline(yintercept = 0) 
    
    # Add text in the bottom right corner outside the plotting area
    p <- p + annotation_custom(
      grob = grid::textGrob(label = "Text", hjust=0, gp=gpar(col="blue", cex=1.7)),
      xmin = 8, xmax = 8, ymin =-90, ymax = -90
    ) 
    # Add an arrow in the bottom right corner outside the plotting area
    p <- p + annotation_custom(
      grob = linesGrob(arrow=arrow(type="open", ends="first", length=unit(3,"mm")), gp=gpar(col="red", lwd=3)), 
      xmin = 8.25, xmax = 8.5, ymin = -85, ymax = -60
    ) 
    
    # Turn off panel clipping
    gt <- ggplot_gtable(ggplot_build(p))
    gt$layout$clip[gt$layout$name == "panel"] <- "off"
    grid.draw(gt)
    

    enter image description here

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