如何：在 R 中为 3 个分类变量和一个连续变量创建图？

Question

我想使用 R 创建一个绘图，最好使用 ggplot。我有以下变量要可视化，其中大部分是二进制的：

试用：cong/incon

句子：他/他自己

条件：正常/慢

准确度：数字

SE：数字

structure(list(TrialType = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 
2L, 2L), .Label = c("congruent", "incongruent"), class = "factor"), 
    SentenceType = structure(c(1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L
    ), .Label = c("him", "himself"), class = "factor"), Condition = structure(c(1L, 
    2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("normal_speech", 
    "slow_speech"), class = "factor"), MeanAccuracy = c(0.794871794871795, 
    0.762820512820513, 0.967948717948718, 0.967948717948718, 
    0.237179487179487, 0.342105263157895, 0.942307692307692, 
    0.83974358974359), SE = c(0.0342056016493384, 0.0430264468743046, 
    0.0389087806837746, 0.0496183045476835, 0.0135583881898854, 
    0.0163760608630386, 0.0170869868584354, 0.0311270245470197
    )), class = "data.frame", row.names = c(NA, -8L))

SE 代表标准误差，这意味着我想在准确度得分周围显示误差条。

我认为我最好的选择是制作两个条形图，每个条件分别制作一个，并在 x 轴上准确。然后，四个条形代表句子和试验的两种可能组合，显示高度的准确性，并在此周围显示误差条以反映不确定性。

如何制作这样的图表？或者，有没有人认为这不是正确的图表类型，然后会是什么（以及如何绘制它......）？

提前致谢！

Answer 1

您是否正在寻找类似的东西？

library(ggplot2)

ggplot(df, aes(TrialType, MeanAccuracy, fill = SentenceType)) +
  geom_col(position = position_dodge(width = 1), color = "gray50") +
  geom_errorbar(aes(ymin = MeanAccuracy - SE, 
                    ymax = MeanAccuracy + SE), width = 0.25,
                position = position_dodge(width = 1)) +
  scale_fill_manual(values = c("gold", "deepskyblue4")) +
  facet_grid(.~Condition, switch = "x") +
  theme_bw() +
  theme(strip.placement = "outside",
        strip.background = element_blank(),
        panel.border = element_blank(),
        panel.spacing = unit(0, "points"),
        axis.line = element_line())

Answer 2

根据你分享的描述使用一些模拟数据，你可以试试：

library(ggplot2)
library(dplyr)
library(tidyr)
#Data
df <- data.frame(Trial=rep(c('cong','incong'),4),
                 Sentence= rep(c('him','himself'),4),
                 Condition=rep(c('normal','slow'),4),
                 Accuracy=runif(8,0,1),
                 SE=runif(8,0,10),stringsAsFactors = F)
#Plot 1
df %>% pivot_longer(-c(Trial,Sentence,Condition)) %>%
  ggplot(aes(x=name,y=value,fill=Condition))+
  geom_bar(stat = 'identity')+
  facet_wrap(.~Trial+Sentence,scales = 'free')

输出：

或者这个：

#Plot 2
df %>% pivot_longer(-c(Trial,Sentence,Condition)) %>%
  ggplot(aes(x=name,y=value,fill=Condition))+
  geom_bar(stat = 'identity')+
  facet_grid(Trial~Sentence,scales = 'free')

输出：

了解您的问题需要更多详细信息和数据。