在 x 轴上加倍条，同时在 ggplot 中保留 1 个常见图例

Question

我在 R 中有以下情节：

dat <- data.frame(
  FunctionClass = factor(c("A", "B", "C", "D", "E", "F", "G", "H", "I",     "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "Y", "Z"), levels=c("A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "Y", "Z")),
  legend = c("A: RNA processing and modification", "B: Chromatin structure and dynamics", "C: Energy production and conversion", "D: Cell cycle control, cell division, chromosome partitioning", "E: Amino acid transport and metabolism", "F: Nucleotide transport and metabolism", "G: Carbohydrate transport and metabolism", "H: Coenzyme transport and metabolism", "I: Lipid transport and metabolism", "J: Translation, ribosomal structure and biogenesis", "K: Transcription", "L: Replication, recombination and repair", "M: Cell wall/membrane/envelope biogenesis", "N: Cell motility", "O: Posttranslational modification, protein turnover, chaperones", "P: Inorganic ion transport and metabolism", "Q: Secondary metabolites biosynthesis, transport and catabolism", "R: General function prediction only", "S: Function unknown", "T: Signal transduction mechanisms", "U: Intracellular trafficking, secretion, and vesicular transport", "V: Defense mechanisms", "W: Extracellular structures", "Y: Nuclear structure", "Z: Cytoskeleton"),
  Frequency=c(360,391,897,1558,1168,448,1030,536,732,1292,2221,2098,789,117,1744,732,437,5162,1251,2191,603,216,2,14,739)
)

library(ggplot2)

p <- ggplot(data=dat, aes(x=FunctionClass, y=Frequency, fill=legend))+
  geom_bar(stat="identity", position=position_dodge(), colour="seashell")
p + guides (fill = guide_legend(ncol = 1))+
  xlab("COG Class")+
  ggtitle("COG distribution")

我的目标是 "A" 有两个柱子，"B" 有两个柱子等等，而不是只有一个。我当然必须向 R 提供包含其他频率的数据。它们看起来像这样：

Frequency2=c(523,900,400,155,168,428,1050,516,742,129,221,2698,7829,1147,144,7132,4437,562,1551,2691,103,516,22,12,939)

但是，我似乎不知道如何合并它们。此外，我只想保留 1 个常见图例（描述不同字母代表的含义）。

任何人都可以在正确的方向推动我吗？我似乎无法在 ggplots 网站上找到相关信息。

Answer 1

这有帮助吗？

library(tidyverse)

dat <- data.frame(
    FunctionClass = factor(c("A", "B", "C", "D", "E", "F", "G", "H", "I",     "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "Y", "Z"), levels=c("A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "Y", "Z")),
    legend = c("A: RNA processing and modification", "B: Chromatin structure and dynamics", "C: Energy production and conversion", "D: Cell cycle control, cell division, chromosome partitioning", "E: Amino acid transport and metabolism", "F: Nucleotide transport and metabolism", "G: Carbohydrate transport and metabolism", "H: Coenzyme transport and metabolism", "I: Lipid transport and metabolism", "J: Translation, ribosomal structure and biogenesis", "K: Transcription", "L: Replication, recombination and repair", "M: Cell wall/membrane/envelope biogenesis", "N: Cell motility", "O: Posttranslational modification, protein turnover, chaperones", "P: Inorganic ion transport and metabolism", "Q: Secondary metabolites biosynthesis, transport and catabolism", "R: General function prediction only", "S: Function unknown", "T: Signal transduction mechanisms", "U: Intracellular trafficking, secretion, and vesicular transport", "V: Defense mechanisms", "W: Extracellular structures", "Y: Nuclear structure", "Z: Cytoskeleton"),
    Frequency=c(360,391,897,1558,1168,448,1030,536,732,1292,2221,2098,789,117,1744,732,437,5162,1251,2191,603,216,2,14,739)
)

dat <- cbind(
    dat
    , Frequency2=c(523,900,400,155,168,428,1050,516,742,129,221,2698,7829,1147,144,7132,4437,562,1551,2691,103,516,22,12,939))

dat %>%
    gather("variable", "value", -FunctionClass, -legend) %>%
    ggplot(aes(FunctionClass, value, fill = legend, group = variable)) +
    geom_bar(stat="identity", position=position_dodge(), colour="seashell") +
    guides (fill = guide_legend(ncol = 1)) +
    xlab("COG Class") +
    ggtitle("COG distribution")

这里发生的是我将附加列添加到数据框 (cbind())，然后将其从宽格式转换为长格式 (gather())。然后需要做的最后一件事是我输入新列 variable 作为 group 美学。

在 x 轴上加倍条，同时在 ggplot 中保留 1 个常见图例

Doubling bars on x-axis, while keeping 1 common legend in ggplot

plot

axis

r

legend

ggplot2