将统计检验添加到GGPUBR中的盒图，在R

我有以下数据集(这只是数据集的缩减，但它具有较 Big Data 集的所有特征)

df <- structure(list(Modality = c("IMU", "IMU", "IMU", "IMU", "EMG", 
"EMG", "EMG", "EMG", "EMG", "EMG", "MULTIMODAL", "MULTIMODAL", 
"MULTIMODAL", "MULTIMODAL", "MULTIMODAL", "MULTIMODAL"), Accuracy = c(0.890994094, 
0.932236205, 0.920874879, 0.808366656, 0.736169166, 0.727917473, 
0.76442499, 0.766358025, 0.672936004, 0.544758539, 0.922476135, 
0.958934517, 0.889652539, 0.878411911, 0.800769442, 0.9035499
), Precision = c(0.910120428, 0.935881939, 0.930419589, 0.858438788, 
0.783804275, 0.803642164, 0.867418091, 0.826140299, 0.651388637, 
0.683146414, 0.931054424, 0.960414109, 0.913705853, 0.892099619, 
0.827661119, 0.917972446), Recall = c(0.890994094, 0.932236205, 
0.920874879, 0.808366656, 0.736169166, 0.727917473, 0.76442499, 
0.766358025, 0.672936004, 0.544758539, 0.922476135, 0.958934517, 
0.889652539, 0.878411911, 0.800769442, 0.9035499), F1_Score = c(0.895340797, 
0.929767228, 0.923515392, 0.820549586, 0.740460186, 0.743306797, 
0.771715283, 0.778685153, 0.654271508, 0.562382109, 0.923856378, 
0.958423427, 0.894510388, 0.881315329, 0.804600327, 0.905468385
), Model = c("CNN", "CNN", "LSTM", "CNN-LSTM", "LSTM-CNN", "CNN", 
"LSTM", "LSTM-CNN", "CNN-LSTM", "CNN", "CNN", "LSTM", "CNN", 
"LSTM-CNN", "CNN-LSTM", "CNN-LSTM")), class = c("tbl_df", "tbl", 
"data.frame"), row.names = c(NA, -16L))

我想做盒子图，在那里我比较医疗模式和按模型分组.我正在使用以下代码:

library(ggpubr)
library(dplyr)

p <-ggboxplot(df, x = "Model", y = "Accuracy", color = "Modality", 
          palette = "jco", 
          add = "jitter", ylab = "Accuracy",
          width = 0.7,
          lwd = 1.35,
          xlab = "Model", legend = "right") +
  
  ggtitle("Boxplot of Accuracy by Model and Modality") +
  theme_minimal()
anyNA(df)

情节是正确的.我得到了每个模型的3个盒子图，其中的通道进行了比较.现在，我想添加一个相同模型中的医疗设备之间的统计比较.为此，我添加了以下代码行:

p + stat_compare_means(comparisons = list(c("EMG", "IMU")), method = "wilcox.test", label = "p.signif")

但目前还没有出现统计检验.问题是，我不能在同一模型中添加关于通道的统计测试.