使用check.names = FALSE导入数据集会导致在ggplot2循环中进行绘图的问题

Question

因为我的标题包含方括号，所以我使用check.names = FALSE导入了数据集。

Homo <- read.table("20200602- Homogenate MI-Athero Millepore R file.txt", header=TRUE,
                     sep="\t", as.is=TRUE, na.strings="#NULL!", comment.char = "", check.names = FALSE)

[我在这里分割文件

Atherohomo <- Homo[Homo$"Model Code" == "MI", ]

这里出现循环

 for (i in names(Homo)[8:32]){

    ggplot(Atherohomo, aes_string(`Sample`, i)) + 
        geom_boxplot(show.legend = F, fill= c("#3e5fa8","#fc9e23","#2D416D","#d47800"), width = 0.4) + 
        geom_beeswarm(aes(color = `Sample`), size=2)

} 

[C0中的数据：

dput(head(Atherohomo))

Answer 1

您遇到了一系列问题。您有两次x13列。 x11列同时包含数字和文本。对于括号问题，您确实需要粘贴反引号以使

Atherohomo <- structure(list(`Plate number` = 43:48, `Mouse ID` = c("16-mi10262-01m", 
"16-mi10262-02m", "16-mi10263-03m", "16-mi10263-04m", "16-mi10323-04m", 
"16-mi10456-01m"), Model = c("MI 4 hours", "MI 4 hours", "MI 4 hours", 
"MI 4 hours", "MI 4 hours", "MI 4 hours"), `Model Code` = c("MI", 
"MI", "MI", "MI", "MI", "MI"), Tissue = c("Homogenate", "Homogenate", 
"Homogenate", "Homogenate", "Homogenate", "Homogenate"), Sample = c("4h riva", 
"4h riva", "4h riva", "4h riva", "4h riva", "4h Ctrl"), `Dilution factor` = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), `x25 (pg/ml)` = c(57.83, 
76.29, 27.75, 18.19, 39.55, 36.69), `x1 (pg/ml)` = c(73.53, 
73.53, 69.86, 67.98, 73.53, 71.7), `x2 (pg/ml)` = c(16.57, 
16.21, 15.14, 17.46, 16.57, 14.78), `x3 (pg/ml)` = c(80.99, 
95.15, 82.43, 84.58, 66.21, 69.22), `x4 (pg/ml)` = c(20, 21.56, 
20, 20, 20, 23.11), `x5 (pg/ml)` = c(3.39, 4.35, 2.24, 2.24, 
3.2, 2.72), `IL-4 (pg/ml)` = c(0, 0, 0, 0, 0, 0), `x6 (pg/ml)` = c(5.78, 
5.78, 5.44, 5.1, 5.78, 5.1), `x7 (pg/ml)` = c(33.78, 37.65, 
5.31, 5.49, 12.8, 30.34), `x8 (pg/ml)` = c(36.34, 39.35, 36.34, 
34.33, 36.34, 36.34), `x9 (pg/ml)` = c(253.48, 228.34, 234.74, 
181.11, 247.3, 228.34), `x10 (pg/ml)` = c(43.93, 37.7, 50.19, 
53.33, 38.74, 37.18), `x11 (pg/ml)` = c("33.61", "32.01", 
"34.89", "31.69", "x12 (pg/ml)+T4", "30.42"), `x13 (pg/ml)` = c(56.33, 
58.46, 54.19, 56.33, 52.04, 54.19), `x13 (pg/ml)` = c(34.41, 
36.52, 43.86, 44.9, 40.72, 41.77), `x15 (pg/ml)` = c(286.34, 
272.07, 257.73, 254.13, 272.07, 286.34), `x16 (pg/ml)` = c(3.89, 
3.67, 3.67, 3.45, 3.45, 3.56), `x17 (pg/ml)` = c(18.44, 12.48, 
3.72, 2.51, 10.14, 17.88), `x18 (pg/ml)` = c(470.3, 418.68, 25.47, 
17.69, 142.12, 288.25), `x19 (pg/ml)` = c(219.64, 117.09, 65.48, 
59.69, 98.91, 160.71), `x20 (pg/ml)` = c(188.93, 193.6, 181.74, 
179.28, 184.16, 174.29), `x21 (pg/ml)` = c(103.52, 106.61, 
99.71, 98.41, 106, 98.41), `x22 (pg/ml)` = c(204.41, 181.82, 
175.72, 175.72, 181.82, 175.72), `x23 (pg/ml)` = c(13.98, 
14.28, 12.94, 12.79, 13.24, 12.79), `x24 (pg/ml)` = c(15.27, 
13.86, 13.14, 12.41, 13.86, 13.14)), row.names = c(NA, 6L), class = "data.frame")

起作用。这对我有用：

aes_string