如何在 R 中创建圆形分组堆叠条形图

Question

尝试创建一个圆形堆积条形图，如下所示：https://r-graph-gallery.com/299-circular-stacked-barplot.html。但这也包括子群体。我无法创建多次堆叠和分组的图表。

所以这里有多个类别。对于这个图，我想： 1. 按“组”列分组为 3 个不同的类别 2. 这三个类别中的每一个将被分组为不同的碳链长度（因此这将是分组条形图）和 3. 进一步分组每个分组条形图中的功能组

我希望通过 summarise(n=n()) in % 来衡量。现在我有了我喜欢的图表类型，我只需要将它放入圆圈中即可。

我的数据如下所示：

structure(list(`No of Carbon` = c(9, 9, 10, 8, 6, 4, 8, 9, 8, 
8, 13, 4, 6, 10, 6, 7, 6, 5, 5, 8, 11, 6, 2, 9, 8, 4, 14, 12, 
4, 4, 10, 6, 6, 9, 10, 9, 10, 4, 8, 6), `Functional Group` = c("Carboxylate", 
"Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate", "Sulfonate", 
"Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate", 
"Carboxylate", "Sulfonate", "Sulfonate", "Sulfonate", "Carboxylate", 
"Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate", 
"Sulfonate", "Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate", 
"Carboxylate", "Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate", 
"Sulfonate", "Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate", 
"Carboxylate", "Sulfonate", "Carboxylate", "Sulfonate"), `PFAS Type` = structure(c(28L, 
28L, 20L, 4L, 26L, 19L, 30L, 28L, 30L, 33L, 41L, 18L, 27L, 7L, 
27L, 24L, 26L, 37L, 37L, 33L, 17L, 27L, 36L, 28L, 30L, 19L, 40L, 
22L, 18L, 18L, 6L, 27L, 14L, 28L, 23L, 28L, 20L, 19L, 30L, 27L
), levels = c("4:2 Cl-PFESA", "4:2 FTS", "6:2 Cl-PFESA", "6:2 FTS", 
"6:2 H-PFESA", "8:2 Cl-PFESA", "8:2 FTS", "ADONA", "FBSA", "FHxSA", 
"FOSA", "FOSAA", "GenX", "HFPO-DA", "HFPO-TA", "N-Et-FOSAA", 
"N-Me-FOSAA", "PFBA", "PFBS", "PFDA", "PFDDA", "PFDoA", "PFDS", 
"PFHpA", "PFHpS", "PFHxA", "PFHxS", "PFNA", "PFNS", "PFOA", "PFONDS", 
"PFONS", "PFOS", "PFOSA", "PFOUDS", "PFPA", "PFPeA", "PFPeS", 
"PFTDA", "PFTeDA", "PFTrDA", "PFUA", "PFUdA", "PFUnA"), class = "factor"), 
    concentrations = c(0.45, 5.9, 0.83, 1.2, 0.82, 2.04, 12.7, 
    1.15, 2.71, 156, 0.71, 5.37, 0.00007, 0.04, 0.35, 0.19, 2.95, 
    0.26, 2.63, 0.96, 0.33, 117.18, 16, 0.4, 24, 0.45, 1.33, 
    3.57, 3.6, 3.15, 0.02, 0.97, 1.38, 0.34, 0.22, 1.34, 3.3, 
    5.27, 3.69, 3.54), carbon_chain = c("Long Chain PFAS", "Long Chain PFAS", 
    "Long Chain PFAS", "Short Chain PFAS", "Short Chain PFAS", 
    "Short Chain PFAS", "Short Chain PFAS", "Long Chain PFAS", 
    "Short Chain PFAS", "Short Chain PFAS", "Long Chain PFAS", 
    "Short Chain PFAS", "Short Chain PFAS", "Long Chain PFAS", 
    "Short Chain PFAS", "Short Chain PFAS", "Short Chain PFAS", 
    "Short Chain PFAS", "Short Chain PFAS", "Short Chain PFAS", 
    "Long Chain PFAS", "Short Chain PFAS", "Short Chain PFAS", 
    "Long Chain PFAS", "Short Chain PFAS", "Short Chain PFAS", 
    "Long Chain PFAS", "Long Chain PFAS", "Short Chain PFAS", 
    "Short Chain PFAS", "Long Chain PFAS", "Short Chain PFAS", 
    "Short Chain PFAS", "Long Chain PFAS", "Long Chain PFAS", 
    "Long Chain PFAS", "Long Chain PFAS", "Short Chain PFAS", 
    "Short Chain PFAS", "Short Chain PFAS"), group = structure(c(3L, 
    3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 1L, 3L, 2L, 1L, 
    3L, 1L, 3L, 3L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L), levels = c("rain", "stormwater", 
    "surface"), class = "factor")), row.names = c(NA, -40L), na.action = structure(c(`7` = 7L, 
`8` = 8L, `9` = 9L, `10` = 10L, `11` = 11L, `12` = 12L, `13` = 13L, 
`14` = 14L, `15` = 15L, `16` = 16L, `17` = 17L, `18` = 18L, `19` = 19L, 
`20` = 20L, `21` = 21L, `22` = 22L, `42` = 42L, `43` = 43L, `44` = 44L, 
`59` = 59L, `60` = 60L, `61` = 61L, `62` = 62L, `63` = 63L, `64` = 64L, 
`65` = 65L, `66` = 66L, `76` = 76L, `77` = 77L, `78` = 78L, `79` = 79L, 
`80` = 80L, `81` = 81L, `82` = 82L, `83` = 83L, `84` = 84L, `85` = 85L, 
`86` = 86L, `87` = 87L, `88` = 88L, `94` = 94L, `95` = 95L, `96` = 96L, 
`97` = 97L, `98` = 98L, `99` = 99L, `100` = 100L, `101` = 101L, 
`102` = 102L, `103` = 103L, `104` = 104L, `105` = 105L, `106` = 106L, 
`107` = 107L, `108` = 108L, `109` = 109L, `110` = 110L, `136` = 136L, 
`137` = 137L, `138` = 138L, `139` = 139L, `140` = 140L, `141` = 141L, 
`142` = 142L, `143` = 143L, `144` = 144L, `145` = 145L, `146` = 146L, 
`147` = 147L, `148` = 148L, `149` = 149L, `150` = 150L, `151` = 151L, 
`152` = 152L, `153` = 153L, `154` = 154L, `157` = 157L, `158` = 158L, 
`159` = 159L, `160` = 160L, `161` = 161L, `162` = 162L, `163` = 163L, 
`164` = 164L, `165` = 165L, `166` = 166L, `167` = 167L, `168` = 168L, 
`169` = 169L, `170` = 170L, `171` = 171L, `172` = 172L, `173` = 173L, 
`174` = 174L, `175` = 175L, `176` = 176L, `180` = 180L, `181` = 181L, 
`182` = 182L, `183` = 183L, `184` = 184L, `185` = 185L, `186` = 186L, 
`187` = 187L, `188` = 188L, `189` = 189L, `190` = 190L, `191` = 191L, 
`192` = 192L, `193` = 193L, `194` = 194L, `195` = 195L, `196` = 196L, 
`197` = 197L, `198` = 198L, `200` = 200L, `201` = 201L, `202` = 202L, 
`203` = 203L, `204` = 204L, `205` = 205L, `206` = 206L, `207` = 207L, 
`208` = 208L, `209` = 209L, `210` = 210L, `211` = 211L, `212` = 212L, 
`213` = 213L, `214` = 214L, `215` = 215L, `216` = 216L, `217` = 217L, 
`218` = 218L, `219` = 219L, `220` = 220L, `224` = 224L, `225` = 225L, 
`226` = 226L, `227` = 227L, `228` = 228L, `229` = 229L, `230` = 230L, 
`231` = 231L, `232` = 232L, `233` = 233L, `234` = 234L, `235` = 235L, 
`236` = 236L, `237` = 237L, `238` = 238L, `239` = 239L, `240` = 240L, 
`241` = 241L, `242` = 242L, `248` = 248L, `249` = 249L, `250` = 250L, 
`251` = 251L, `252` = 252L, `253` = 253L, `254` = 254L, `255` = 255L, 
`256` = 256L, `257` = 257L, `258` = 258L, `259` = 259L, `260` = 260L, 
`261` = 261L, `262` = 262L, `263` = 263L, `264` = 264L, `270` = 270L, 
`271` = 271L, `272` = 272L, `273` = 273L, `274` = 274L, `275` = 275L, 
`276` = 276L, `277` = 277L, `278` = 278L, `279` = 279L, `280` = 280L, 
`281` = 281L, `282` = 282L, `283` = 283L, `284` = 284L, `285` = 285L, 
`286` = 286L, `290` = 290L, `291` = 291L, `292` = 292L, `293` = 293L, 
`294` = 294L, `295` = 295L, `296` = 296L, `297` = 297L, `298` = 298L, 
`299` = 299L, `300` = 300L, `301` = 301L, `302` = 302L, `303` = 303L, 
`304` = 304L, `305` = 305L, `306` = 306L, `307` = 307L, `308` = 308L, 
`311` = 311L, `312` = 312L, `313` = 313L, `314` = 314L, `315` = 315L, 
`316` = 316L, `317` = 317L, `318` = 318L, `319` = 319L, `320` = 320L, 
`321` = 321L, `322` = 322L, `323` = 323L, `324` = 324L, `325` = 325L, 
`326` = 326L, `327` = 327L, `328` = 328L, `329` = 329L, `330` = 330L, 
`333` = 333L, `334` = 334L, `335` = 335L, `336` = 336L, `337` = 337L, 
`338` = 338L, `339` = 339L, `340` = 340L, `341` = 341L, `342` = 342L, 
`343` = 343L, `344` = 344L, `345` = 345L, `346` = 346L, `347` = 347L, 
`348` = 348L, `349` = 349L, `350` = 350L, `351` = 351L, `352` = 352L, 
`355` = 355L, `356` = 356L, `357` = 357L, `358` = 358L, `359` = 359L, 
`360` = 360L, `361` = 361L, `362` = 362L, `363` = 363L, `364` = 364L, 
`365` = 365L, `366` = 366L, `367` = 367L, `368` = 368L, `369` = 369L, 
`370` = 370L, `371` = 371L, `372` = 372L, `373` = 373L, `374` = 374L
), class = "omit"), class = c("tbl_df", "tbl", "data.frame"))

summary_fig1 <- figure1_edit %>% 
  group_by(group, carbon_chain, `Functional Group`) %>% 
  summarise(N=n()) %>% 
  ggplot(aes(x=carbon_chain, y=N, fill=`Functional Group`)) + 
  geom_bar(position='fill', stat = 'identity',color='black') +
  scale_y_continuous(labels = scales::percent) +
  facet_grid(~group)

我不确定下一步，并尝试按照 https://r-graph-gallery.com/299-circular-stacked-barplot.html 的教程进行操作，但由于我有多个分类组并且感到困惑想通过 %n 显示它。我对此还比较陌生，所以仍在弄清楚一切！谢谢！

Answer 1

您正在寻找类似的东西吗？

如果您进一步陷入困境，也许可以调整此问题并发布另一个问题（包含迄今为止您所拥有的内容的代表）？

library(tidyverse)

df <- structure(list(
  `No of Carbon` = c(
    9, 9, 10, 8, 6, 4, 8, 9, 8,
    8, 13, 4, 6, 10, 6, 7, 6, 5, 5, 8, 11, 6, 2, 9, 8, 4, 14, 12,
    4, 4, 10, 6, 6, 9, 10, 9, 10, 4, 8, 6
  ), `Functional Group` = c(
    "Carboxylate",
    "Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate", "Sulfonate",
    "Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate",
    "Carboxylate", "Sulfonate", "Sulfonate", "Sulfonate", "Carboxylate",
    "Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate",
    "Sulfonate", "Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate",
    "Carboxylate", "Carboxylate", "Carboxylate", "Carboxylate", "Sulfonate",
    "Sulfonate", "Carboxylate", "Carboxylate", "Sulfonate", "Carboxylate",
    "Carboxylate", "Sulfonate", "Carboxylate", "Sulfonate"
  ), `PFAS Type` = structure(c(
    28L,
    28L, 20L, 4L, 26L, 19L, 30L, 28L, 30L, 33L, 41L, 18L, 27L, 7L,
    27L, 24L, 26L, 37L, 37L, 33L, 17L, 27L, 36L, 28L, 30L, 19L, 40L,
    22L, 18L, 18L, 6L, 27L, 14L, 28L, 23L, 28L, 20L, 19L, 30L, 27L
  ), levels = c(
    "4:2 Cl-PFESA", "4:2 FTS", "6:2 Cl-PFESA", "6:2 FTS",
    "6:2 H-PFESA", "8:2 Cl-PFESA", "8:2 FTS", "ADONA", "FBSA", "FHxSA",
    "FOSA", "FOSAA", "GenX", "HFPO-DA", "HFPO-TA", "N-Et-FOSAA",
    "N-Me-FOSAA", "PFBA", "PFBS", "PFDA", "PFDDA", "PFDoA", "PFDS",
    "PFHpA", "PFHpS", "PFHxA", "PFHxS", "PFNA", "PFNS", "PFOA", "PFONDS",
    "PFONS", "PFOS", "PFOSA", "PFOUDS", "PFPA", "PFPeA", "PFPeS",
    "PFTDA", "PFTeDA", "PFTrDA", "PFUA", "PFUdA", "PFUnA"
  ), class = "factor"),
  concentrations = c(
    0.45, 5.9, 0.83, 1.2, 0.82, 2.04, 12.7,
    1.15, 2.71, 156, 0.71, 5.37, 0.00007, 0.04, 0.35, 0.19, 2.95,
    0.26, 2.63, 0.96, 0.33, 117.18, 16, 0.4, 24, 0.45, 1.33,
    3.57, 3.6, 3.15, 0.02, 0.97, 1.38, 0.34, 0.22, 1.34, 3.3,
    5.27, 3.69, 3.54
  ), carbon_chain = c(
    "Long Chain PFAS", "Long Chain PFAS",
    "Long Chain PFAS", "Short Chain PFAS", "Short Chain PFAS",
    "Short Chain PFAS", "Short Chain PFAS", "Long Chain PFAS",
    "Short Chain PFAS", "Short Chain PFAS", "Long Chain PFAS",
    "Short Chain PFAS", "Short Chain PFAS", "Long Chain PFAS",
    "Short Chain PFAS", "Short Chain PFAS", "Short Chain PFAS",
    "Short Chain PFAS", "Short Chain PFAS", "Short Chain PFAS",
    "Long Chain PFAS", "Short Chain PFAS", "Short Chain PFAS",
    "Long Chain PFAS", "Short Chain PFAS", "Short Chain PFAS",
    "Long Chain PFAS", "Long Chain PFAS", "Short Chain PFAS",
    "Short Chain PFAS", "Long Chain PFAS", "Short Chain PFAS",
    "Short Chain PFAS", "Long Chain PFAS", "Long Chain PFAS",
    "Long Chain PFAS", "Long Chain PFAS", "Short Chain PFAS",
    "Short Chain PFAS", "Short Chain PFAS"
  ), group = structure(c(
    3L,
    3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 1L, 3L, 2L, 1L,
    3L, 1L, 3L, 3L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
    3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L
  ), levels = c(
    "rain", "stormwater",
    "surface"
  ), class = "factor")
), row.names = c(NA, -40L), na.action = structure(c(
  `7` = 7L,
  `8` = 8L, `9` = 9L, `10` = 10L, `11` = 11L, `12` = 12L, `13` = 13L,
  `14` = 14L, `15` = 15L, `16` = 16L, `17` = 17L, `18` = 18L, `19` = 19L,
  `20` = 20L, `21` = 21L, `22` = 22L, `42` = 42L, `43` = 43L, `44` = 44L,
  `59` = 59L, `60` = 60L, `61` = 61L, `62` = 62L, `63` = 63L, `64` = 64L,
  `65` = 65L, `66` = 66L, `76` = 76L, `77` = 77L, `78` = 78L, `79` = 79L,
  `80` = 80L, `81` = 81L, `82` = 82L, `83` = 83L, `84` = 84L, `85` = 85L,
  `86` = 86L, `87` = 87L, `88` = 88L, `94` = 94L, `95` = 95L, `96` = 96L,
  `97` = 97L, `98` = 98L, `99` = 99L, `100` = 100L, `101` = 101L,
  `102` = 102L, `103` = 103L, `104` = 104L, `105` = 105L, `106` = 106L,
  `107` = 107L, `108` = 108L, `109` = 109L, `110` = 110L, `136` = 136L,
  `137` = 137L, `138` = 138L, `139` = 139L, `140` = 140L, `141` = 141L,
  `142` = 142L, `143` = 143L, `144` = 144L, `145` = 145L, `146` = 146L,
  `147` = 147L, `148` = 148L, `149` = 149L, `150` = 150L, `151` = 151L,
  `152` = 152L, `153` = 153L, `154` = 154L, `157` = 157L, `158` = 158L,
  `159` = 159L, `160` = 160L, `161` = 161L, `162` = 162L, `163` = 163L,
  `164` = 164L, `165` = 165L, `166` = 166L, `167` = 167L, `168` = 168L,
  `169` = 169L, `170` = 170L, `171` = 171L, `172` = 172L, `173` = 173L,
  `174` = 174L, `175` = 175L, `176` = 176L, `180` = 180L, `181` = 181L,
  `182` = 182L, `183` = 183L, `184` = 184L, `185` = 185L, `186` = 186L,
  `187` = 187L, `188` = 188L, `189` = 189L, `190` = 190L, `191` = 191L,
  `192` = 192L, `193` = 193L, `194` = 194L, `195` = 195L, `196` = 196L,
  `197` = 197L, `198` = 198L, `200` = 200L, `201` = 201L, `202` = 202L,
  `203` = 203L, `204` = 204L, `205` = 205L, `206` = 206L, `207` = 207L,
  `208` = 208L, `209` = 209L, `210` = 210L, `211` = 211L, `212` = 212L,
  `213` = 213L, `214` = 214L, `215` = 215L, `216` = 216L, `217` = 217L,
  `218` = 218L, `219` = 219L, `220` = 220L, `224` = 224L, `225` = 225L,
  `226` = 226L, `227` = 227L, `228` = 228L, `229` = 229L, `230` = 230L,
  `231` = 231L, `232` = 232L, `233` = 233L, `234` = 234L, `235` = 235L,
  `236` = 236L, `237` = 237L, `238` = 238L, `239` = 239L, `240` = 240L,
  `241` = 241L, `242` = 242L, `248` = 248L, `249` = 249L, `250` = 250L,
  `251` = 251L, `252` = 252L, `253` = 253L, `254` = 254L, `255` = 255L,
  `256` = 256L, `257` = 257L, `258` = 258L, `259` = 259L, `260` = 260L,
  `261` = 261L, `262` = 262L, `263` = 263L, `264` = 264L, `270` = 270L,
  `271` = 271L, `272` = 272L, `273` = 273L, `274` = 274L, `275` = 275L,
  `276` = 276L, `277` = 277L, `278` = 278L, `279` = 279L, `280` = 280L,
  `281` = 281L, `282` = 282L, `283` = 283L, `284` = 284L, `285` = 285L,
  `286` = 286L, `290` = 290L, `291` = 291L, `292` = 292L, `293` = 293L,
  `294` = 294L, `295` = 295L, `296` = 296L, `297` = 297L, `298` = 298L,
  `299` = 299L, `300` = 300L, `301` = 301L, `302` = 302L, `303` = 303L,
  `304` = 304L, `305` = 305L, `306` = 306L, `307` = 307L, `308` = 308L,
  `311` = 311L, `312` = 312L, `313` = 313L, `314` = 314L, `315` = 315L,
  `316` = 316L, `317` = 317L, `318` = 318L, `319` = 319L, `320` = 320L,
  `321` = 321L, `322` = 322L, `323` = 323L, `324` = 324L, `325` = 325L,
  `326` = 326L, `327` = 327L, `328` = 328L, `329` = 329L, `330` = 330L,
  `333` = 333L, `334` = 334L, `335` = 335L, `336` = 336L, `337` = 337L,
  `338` = 338L, `339` = 339L, `340` = 340L, `341` = 341L, `342` = 342L,
  `343` = 343L, `344` = 344L, `345` = 345L, `346` = 346L, `347` = 347L,
  `348` = 348L, `349` = 349L, `350` = 350L, `351` = 351L, `352` = 352L,
  `355` = 355L, `356` = 356L, `357` = 357L, `358` = 358L, `359` = 359L,
  `360` = 360L, `361` = 361L, `362` = 362L, `363` = 363L, `364` = 364L,
  `365` = 365L, `366` = 366L, `367` = 367L, `368` = 368L, `369` = 369L,
  `370` = 370L, `371` = 371L, `372` = 372L, `373` = 373L, `374` = 374L
), class = "omit"), class = c("tbl_df", "tbl", "data.frame"))


df |> 
  summarise(N = n(), .by = c(group, carbon_chain, `Functional Group`)) |> 
  mutate(
    prop = N / sum(N), 
    x = paste0(group, "\n", carbon_chain),
    .by = c(group, carbon_chain)
    ) |> 
  ggplot(aes(x = x, y = prop, fill = `Functional Group`)) +
  geom_col(position = "fill", color = "black") +
  geom_label(aes(label = scales::percent(prop, 1)), fill = "white",
             show.legend = F, position = "fill", size = 3) +
  coord_radial(rotate_angle = TRUE) +
  guides(theta = guide_axis_theta(angle = 0)) +
  ylim(c(-0.5, NA)) + # hole size
  labs(x = NULL, y = NULL) +
  theme_minimal() +
  theme(
    panel.grid.major.y = element_line(color = "gray", linetype = "dotted"),
    axis.text.y = element_blank(),
    legend.position = "bottom"
  )

^{创建于 2024-04-19，使用 reprex v2.1.0}

如何在 R 中创建圆形分组堆叠条形图

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如何在 R 中创建圆形分组堆叠条形图

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