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無法生成具有對數刻度的分組箱線圖

2022-11-10 23:44:07 作業系統

我在制作具有對數刻度的分組箱線圖時遇到問題。我認為這是因為不能記錄一個因素？任何人都可以看到任何解決方法嗎？
我在下面粘貼了錯誤的箱線圖。

ggplot(subset(LOD_nA_nzeros ,biosample=="preserved saliva"), 
     aes(x=input_copies_ul, y=Cq, color=method,group=method))  
  geom_boxplot( ) 
  geom_point(position=position_jitterdodge()) 
  scale_x_log10(breaks = trans_breaks("log10", function(x) 10^x),
                labels = trans_format("log10", math_format(10^.x)))  
  theme_minimal() 
  theme(text=element_text(size = 20))

無法生成具有對數刻度的分組箱線圖

## dput(LOD_nA_nzeros)
LOD_nA_nzeros <- structure(list(method = c("vantage", "vantage", "vantage", "vantage",
"vantage", "vantage", "vantage", "vantage", "vantage", "vantage",
"vantage", "vantage", "vantage", "vantage", "vantage", "vantage",
"vantage", "vantage", "vantage", "vantage", "vantage", "vantage",
"vantage", "vantage", "vantage", "vantage", "vantage", "vantage",
"vantage", "vantage", "vantage", "vantage", "vantage", "vantage",
"vantage", "vantage", "vantage", "vantage", "vantage", "vantage",
"vantage", "vantage", "vantage", "QIA", "QIA", "QIA", "QIA",
"QIA", "QIA", "QIA", "QIA", "QIA", "QIA", "QIA", "QIA", "QIA",
"QIA", "QIA", "QIA", "QIA", "QIA", "QIA", "QIA", "QIA", "QIA",
"manual", "manual", "manual", "manual", "manual", "manual", "manual",
"manual", "manual", "manual", "manual", "manual", "manual", "manual",
"manual", "manual", "manual", "manual", "manual", "manual", "manual",
"manual", "manual", "manual", "manual", "manual", "manual"),
input_pg_ul = c(1000, 1000, 1000, 1000, 100, 100, 100, 100,
10, 10, 10, 10, 1, 1, 1, 0.1, 0.001, 0.001, 1000, 1000, 1000,
1000, 100, 100, 100, 100, 10, 10, 10, 10, 1, 1, 1, 1, 0.1,
0.1, 0.1, 0.01, 0.01, 0.01, 0.001, 0.001, 0.001, 1000, 1000,
1000, 1000, 100, 100, 100, 100, 10, 10, 10, 10, 1, 1000,
1000, 1000, 1000, 100, 100, 100, 100, 10, 1000, 1000, 1000,
1000, 100, 100, 100, 100, 10, 10, 10, 10, 1000, 1000, 1000,
1000, 100, 100, 100, 100, 10, 10, 10, 10, 1, 1, 1), input_copies_ul = c(6.3e 09,
6.3e 09, 6.3e 09, 6.3e 09, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 08,
6.3e 07, 6.3e 07, 6.3e 07, 6.3e 07, 6300000, 6300000, 6300000,
630000, 6300, 6300, 6.3e 09, 6.3e 09, 6.3e 09, 6.3e 09, 6.3e 08,
6.3e 08, 6.3e 08, 6.3e 08, 6.3e 07, 6.3e 07, 6.3e 07, 6.3e 07,
6300000, 6300000, 6300000, 6300000, 630000, 630000, 630000,
63000, 63000, 63000, 6300, 6300, 6300, 6.3e 09, 6.3e 09,
6.3e 09, 6.3e 09, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 07,
6.3e 07, 6.3e 07, 6.3e 07, 6300000, 6.3e 09, 6.3e 09, 6.3e 09,
6.3e 09, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 07, 6.3e 09,
6.3e 09, 6.3e 09, 6.3e 09, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 08,
6.3e 07, 6.3e 07, 6.3e 07, 6.3e 07, 6.3e 09, 6.3e 09, 6.3e 09,
6.3e 09, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 08, 6.3e 07, 6.3e 07,
6.3e 07, 6.3e 07, 6300000, 6300000, 6300000), biosample = c("fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "fresh saliva",
"fresh saliva", "fresh saliva", "fresh saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva", "preserved saliva",
"preserved saliva", "preserved saliva"), sample = c("Fr Saliva 1ng/ul",
"Fr Saliva 1ng/ul", "Fr Saliva 1ng/ul", "Fr Saliva 1ng/ul",
"Fr Saliva 100pg/ul", "Fr Saliva 100pg/ul", "Fr Saliva 100pg/ul",
"Fr Saliva 100pg/ul", "Fr Saliva 10pg/ul", "Fr Saliva 10pg/ul",
"Fr Saliva 10pg/ul", "Fr Saliva 10pg/ul", "Fr Saliva 1pg/ul",
"Fr Saliva 1pg/ul", "Fr Saliva 1pg/ul", "Fr Saliva 100fg/ul",
"Fr Saliva 1fg/ul", "Fr Saliva 1fg/ul", "Pr Saliva 1ng/ul",
"Pr Saliva 1ng/ul", "Pr Saliva 1ng/ul", "Pr Saliva 1ng/ul",
"Pr Saliva 100pg/ul", "Pr Saliva 100pg/ul", "Pr Saliva 100pg/ul",
"Pr Saliva 100pg/ul", "Pr Saliva 10pg/ul", "Pr Saliva 10pg/ul",
"Pr Saliva 10pg/ul", "Pr Saliva 10pg/ul", "Pr Saliva 1pg/ul",
"Pr Saliva 1pg/ul", "Pr Saliva 1pg/ul", "Pr Saliva 1pg/ul",
"Pr Saliva 100fg/ul", "Pr Saliva 100fg/ul", "Pr Saliva 100fg/ul",
"Pr Saliva 10fg/ul", "Pr Saliva 10fg/ul", "Pr Saliva 10fg/ul",
"Pr Saliva 1fg/ul", "Pr Saliva 1fg/ul", "Pr Saliva 1fg/ul",
"Pr Saliva 1ng/ul", "Pr Saliva 1ng/ul", "Pr Saliva 1ng/ul",
"Pr Saliva 1ng/ul", "Pr Saliva 100pg/ul", "Pr Saliva 100pg/ul",
"Pr Saliva 100pg/ul", "Pr Saliva 100pg/ul", "Pr Saliva 10pg/ul",
"Pr Saliva 10pg/ul", "Pr Saliva 10pg/ul", "Pr Saliva 10pg/ul",
"Pr Saliva 1pg/ul", "Fr Saliva 1ng/ul", "Fr Saliva 1ng/ul",
"Fr Saliva 1ng/ul", "Fr Saliva 1ng/ul", "Fr Saliva 100pg/ul",
"Fr Saliva 100pg/ul", "Fr Saliva 100pg/ul", "Fr Saliva 100pg/ul",
"Fr Saliva 10pg/ul", "Fr Saliva 1ng/ul", "Fr Saliva 1ng/ul",
"Fr Saliva 1ng/ul", "Fr Saliva 1ng/ul", "Fr Saliva 100pg/ul",
"Fr Saliva 100pg/ul", "Fr Saliva 100pg/ul", "Fr Saliva 100pg/ul",
"Fr Saliva 10pg/ul", "Fr Saliva 10pg/ul", "Fr Saliva 10pg/ul",
"Fr Saliva 10pg/ul", "Pr Saliva 1ng/ul", "Pr Saliva 1ng/ul",
"Pr Saliva 1ng/ul", "Pr Saliva 1ng/ul", "Pr Saliva 100pg/ul",
"Pr Saliva 100pg/ul", "Pr Saliva 100pg/ul", "Pr Saliva 100pg/ul",
"Pr Saliva 10pg/ul", "Pr Saliva 10pg/ul", "Pr Saliva 10pg/ul",
"Pr Saliva 10pg/ul", "Pr Saliva 1pg/ul", "Pr Saliva 1pg/ul",
"Pr Saliva 1pg/ul"), Cq.Values = c("15.51 ", "15.61 ", "14.46 ",
"14.79 ", "22.41 ", "22.77 ", "21.84 ", "22.34 ", "28.17 ",
"28.58 ", "27.98 ", "28.60 ", "34.26 ", "31.81 ", "31.88 ",
"34.18 ", "33.21 ", "32.89 ", "17.24 ", "17.75 ", "17.70 ",
"17.77 ", "25.01 ", "24.85 ", "24.45 ", "24.64 ", "30.94 ",
"30.58 ", "28.53 ", "28.85 ", "28.27 ", "27.53 ", "30.99 ",
"31.75 ", "33.94 ", "32.84 ", "32.97 ", "36.18 ", "29.82 ",
"29.30 ", "35.25 ", "37.97 ", "34.87 ", "14.57 ", "14.68 ",
"14.78 ", "14.83 ", "21.40 ", "21.34 ", "21.77 ", "21.59 ",
"28.04 ", "27.94 ", "28.38 ", "28.35 ", "34.53 ", "20.52 ",
"20.22 ", "20.89 ", "20.71 ", "25.84 ", "25.86 ", "26.61 ",
"26.44 ", "34.62 ", "14.53 ", "14.31 ", "14.56 ", "14.36 ",
"21.74 ", "21.64 ", "21.81 ", "22.29 ", "27.56 ", "28.74 ",
"29.52 ", "29.07 ", "13.41 ", "12.71 ", "13.79 ", "13.97 ",
"20.85 ", "20.92 ", "20.56 ", "20.58 ", "28.12 ", "28.22 ",
"28.76 ", "28.36 ", "36.65 ", "35.18 ", "39.67 "), Cq = c(15.51,
15.61, 14.46, 14.79, 22.41, 22.77, 21.84, 22.34, 28.17, 28.58,
27.98, 28.6, 34.26, 31.81, 31.88, 34.18, 33.21, 32.89, 17.24,
17.75, 17.7, 17.77, 25.01, 24.85, 24.45, 24.64, 30.94, 30.58,
28.53, 28.85, 28.27, 27.53, 30.99, 31.75, 33.94, 32.84, 32.97,
36.18, 29.82, 29.3, 35.25, 37.97, 34.87, 14.57, 14.68, 14.78,
14.83, 21.4, 21.34, 21.77, 21.59, 28.04, 27.94, 28.38, 28.35,
34.53, 20.52, 20.22, 20.89, 20.71, 25.84, 25.86, 26.61, 26.44,
34.62, 14.53, 14.31, 14.56, 14.36, 21.74, 21.64, 21.81, 22.29,
27.56, 28.74, 29.52, 29.07, 13.41, 12.71, 13.79, 13.97, 20.85,
20.92, 20.56, 20.58, 28.12, 28.22, 28.76, 28.36, 36.65, 35.18,
39.67)), class = "data.frame", row.names = c(NA, -92L))

uj5u.com熱心網友回復：

我們不知道您的目標，因此“無法生產”、“有問題”、“錯誤”不要告訴我們您的目標/期望是什么結果。

也許您想要沿 x 軸的組，而不是每種方法只一組？我們可以用下面的代碼做到這一點。group = interaction(method, floor(log10(input_copies_ul)))將為沿 x 軸的每個 10 的冪的每種方法分組。

library(ggplot2); library(scales)
ggplot(subset(LOD_nA_nzeros ,biosample=="preserved saliva"), 
       aes(x=input_copies_ul, y=Cq, color=method,group=method))  
  geom_boxplot(aes(group = interaction(method, floor(log10(input_copies_ul)))), 
               position = position_dodge(preserve = "single")) 
  geom_point(position=position_jitterdodge()) 
  scale_x_log10(breaks = trans_breaks("log10", function(x) 10^x),
                labels = trans_format("log10", math_format(10^.x)))  
  theme_minimal() 
  theme(text=element_text(size = 20))

無法生成具有對數刻度的分組箱線圖

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