删除双条图中的特定条

Question

我试图删除我的情节中第二排面板上多余的“专业/复古”标签。但是，我仍然希望保持最上面的面板标签不变。我已经尝试了过去一小时，有选择地删除第二排面板上的第一条，我想知道这里有没有人知道如何做到这一点。请参阅下面的技术细节。

我有以下情节：

它从以下数据中生成：

absBtwnDat <- structure(list(setSize = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 
    7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 
    2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 
    4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 
    6L, 7L), .Label = c("2", "3", "4", "5", "6", "7", "8"), class = "factor"), 
     Measure = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
     2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
     2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
     2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
     2L, 2L), .Label = c("Actual", "Predicted"), class = "factor"), 
     Location = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
     1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
     2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
     1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
     2L, 2L), .Label = c("fix", "forced"), class = "factor"), 
     JudgementType = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
     1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
     2L, 2L, 2L), .Label = c("pro", "retro"), class = "factor"), 
     Accuracy = c(1.91388888888889, 2.95555555555556, 3.74861111111111, 
     4.37777777777778, 4.21527777777778, 3.0875, 2.85277777777778, 
     2, 2.99444444444444, 4, 4.77222222222222, 5.24444444444444, 
     5.18472222222222, 5.20277777777778, 1.98888888888889, 3, 
     3.97222222222222, 4.85972222222222, 5.70555555555556, 6.56944444444444, 
     7.27222222222222, 2, 3, 3.99444444444444, 4.99444444444444, 
     5.86944444444444, 6.75555555555556, 7.57777777777778, 1.96111111111111, 
     2.97777777777778, 3.78333333333333, 3.97222222222222, 4.22361111111111, 
     3.64722222222222, 3.68888888888889, 2, 3, 3.97222222222222, 
     4.67777777777778, 5.26944444444444, 5.4625, 5.8, 2, 3, 3.98333333333333, 
     4.87777777777778, 5.73055555555556, 6.48333333333333, 7.62916666666667, 
     2, 3, 3.98333333333333, 4.96666666666667, 5.96944444444444, 
     6.94444444444444, 7.93333333333333), LL = c(1.85, 2.87777777777778, 
     3.59861111111111, 4.15555555555556, 3.78888888888889, 2.73055555555556, 
     2.55555555555556, 2, 2.96111111111111, 4, 4.64444444444444, 
     5.01666666666667, 4.88333333333333, 4.88611111111111, 1.91111111111111, 
     3, 3.89444444444444, 4.73611111111111, 5.47777777777778, 
     6.20277777777778, 6.71666666666667, 2, 3, 3.96666666666667, 
     4.95555555555556, 5.65096686319131, 6.48333333333333, 7.17222222222222, 
     1.86637442123568, 2.92222222222222, 3.65, 3.61666666666667, 
     3.88333333333333, 3.17092476055122, 3.18888888888889, 2, 
     3, 3.92222222222222, 4.49444444444444, 5.0375, 5.09444444444444, 
     5.40555555555556, 2, 3, 3.92777777777778, 4.72222222222222, 
     5.52777777777778, 6.24444444444444, 7.37361111111111, 2, 
     3, 3.95, 4.88888888888889, 5.93333333333333, 6.88333333333333, 
     7.73065763697428), UL = c(1.95555555555556, 2.98333333333333, 
     3.84444444444444, 4.56666666666667, 4.6, 3.43611111111111, 
     3.17916666666667, 2, 3, 4, 4.86111111111111, 5.42777777777778, 
     5.48656054159421, 5.58611111111111, 2, 3, 4, 4.93888888888889, 
     5.83888888888889, 6.76944444444444, 7.6, 2, 3, 4, 5, 5.94166666666667, 
     6.88888888888889, 7.78888888888889, 1.98888888888889, 2.99444444444444, 
     3.87777777777778, 4.22777777777778, 4.53611111111111, 4.19722222222222, 
     4.20555555555556, 2, 3, 3.98888888888889, 4.78333333333333, 
     5.45555555555556, 5.79583333333333, 6.16666666666667, 2, 
     3, 3.99444444444444, 4.95, 5.85972222222222, 6.67222222222222, 
     7.80138888888889, 2, 3, 3.99444444444444, 4.98888888888889, 
     5.9875, 6.97222222222222, 7.98333333333333)), .Names = c("setSize", 
    "Measure", "Location", "JudgementType", "Accuracy", "LL", "UL" 
    ), row.names = c(NA, -56L), class = "data.frame") 

我把它用用下面的代码可视化：

library(ggplot2) 

p1 <- ggplot(data = absBtwnDat, aes(x = as.numeric(as.character(setSize)), 
            y = Accuracy, group = Measure, 
            colour = Measure))+ 
    geom_point()+ 
    geom_line(aes(linetype = Measure))+ 
    scale_x_continuous("Trial Set Size", breaks = 2:8)+ 
    scale_y_continuous("Accuracy (# Correct)", breaks = 0:8, limits = c(0, 8))+ 
    geom_errorbar(aes(ymin = LL, ymax = UL), width = .1, size = .75)+ 
    scale_colour_grey(start = .8, end = .4)+ 
    facet_wrap(~JudgementType+Location, dir = "v")+ 
    theme(legend.position = "top") 

只是为了确定，我已经突出了不想要的条下面的图片：

Answer 1

有了这个你只有每个面板标签的一列，但他们仍然包括话。

p1 <- ggplot(data = absBtwnDat, 
     aes(x = as.numeric(as.character(setSize)), y = Accuracy, 
      group = Measure, 
      colour = Measure))+ 
    geom_point()+ 
    geom_line(aes(linetype = Measure))+ 
    scale_x_continuous("Trial Set Size", breaks = 2:8)+ 
    scale_y_continuous("Accuracy (# Correct)", 
       breaks = 0:8, limits = c(0, 8))+ 
    geom_errorbar(aes(ymin = LL, ymax = UL), 
      width = .1, size = .75)+ 
    scale_colour_grey(start = .8, end = .4)+ 
    facet_wrap(~JudgementType + Location, 
     dir = "v", 
     labeller = label_wrap_gen(multi_line=FALSE)) + 
    theme(legend.position = "top") 
    p1 

Answer 2

这里是一个可能的解决方案：

g1 <- ggplotGrob(p1) 
k <- which(g1$layout$name=="strip-t-1-2") 
g1$grobs[[k]]$grobs[[1]]$children[[2]]$children[[1]]$label <- "" 
g1$grobs[[k]]$grobs[[1]]$children[[1]]$gp$fill <- NA 

k <- which(g1$layout$name=="strip-t-2-2") 
g1$grobs[[k]]$grobs[[1]]$children[[2]]$children[[1]]$label <- "" 
g1$grobs[[k]]$grobs[[1]]$children[[1]]$gp$fill <- NA 

library(grid) 
grid.draw(g1)