1

我想根据特定水平的因子变量的值重新排序堆积条形图。

我的长格式数据

我想根据n.stem.niet填充变量 ( stemmen) 的级别从高到低对堆叠条进行分组。可以使用以下方法制作正常的堆积条形图:

ggplot(nl.melt, aes(x=naam, y=perc, fill=stemmen)) +
  geom_bar(stat="identity", width=.7) +
  scale_x_discrete(expand=c(0,0)) +
  scale_y_continuous(expand=c(0,0)) +
  coord_flip() +
  theme_bw()

这给出了一个按字母顺序排列的条形图: 在此处输入图像描述

我尝试了以下三段代码来重新排序我的数据,但它们都没有给我想要的东西:

# 1st approach
nl.melt$stemmen <- factor(nl.melt$stemmen,
                          levels=c("n.stem.niet","n.stem.afw","n.stem.ja","n.stem.nee","n.stem.onth"),
                          ordered=TRUE)
# 2nd approach
nl.melt$naam <- reorder(nl.melt$naam, as.character(nl.melt$stemmen), FUN=min)
# 3rd approach
nl.melt$stemmen <- relevel(nl.melt$stemmen,"n.stem.niet")

它应该产生一个以“Johannes Cornelis van Baalen”作为顶栏,然后是“Peter van Dalen”的条形图。

我可能忽略了一些东西,但此刻我被卡住了。有什么建议么?

我的一个dput数据:

structure(list(naam = c("Auke Zijlstra", "Auke Zijlstra", "Auke Zijlstra", 
"Auke Zijlstra", "Auke Zijlstra", "Bas Eickhout", "Bas Eickhout", 
"Bas Eickhout", "Bas Eickhout", "Bas Eickhout", "Bastiaan Belder", 
"Bastiaan Belder", "Bastiaan Belder", "Bastiaan Belder", "Bastiaan Belder", 
"Corien Wortmann-Kool", "Corien Wortmann-Kool", "Corien Wortmann-Kool", 
"Corien Wortmann-Kool", "Corien Wortmann-Kool", "Cornelis de Jong", 
"Cornelis de Jong", "Cornelis de Jong", "Cornelis de Jong", "Cornelis de Jong", 
"Daniel van der Stoep", "Daniel van der Stoep", "Daniel van der Stoep", 
"Daniel van der Stoep", "Daniel van der Stoep", "Emine Bozkurt", 
"Emine Bozkurt", "Emine Bozkurt", "Emine Bozkurt", "Emine Bozkurt", 
"Esther de Lange", "Esther de Lange", "Esther de Lange", "Esther de Lange", 
"Esther de Lange", "Gerben-Jan Gerbrandy", "Gerben-Jan Gerbrandy", 
"Gerben-Jan Gerbrandy", "Gerben-Jan Gerbrandy", "Gerben-Jan Gerbrandy", 
"Jan Mulder", "Jan Mulder", "Jan Mulder", "Jan Mulder", "Jan Mulder", 
"Johannes Cornelis van Baalen", "Johannes Cornelis van Baalen", 
"Johannes Cornelis van Baalen", "Johannes Cornelis van Baalen", 
"Johannes Cornelis van Baalen", "Judith A. Merkies", "Judith A. Merkies", 
"Judith A. Merkies", "Judith A. Merkies", "Judith A. Merkies", 
"Judith Sargentini", "Judith Sargentini", "Judith Sargentini", 
"Judith Sargentini", "Judith Sargentini", "Kartika Tamara Liotard", 
"Kartika Tamara Liotard", "Kartika Tamara Liotard", "Kartika Tamara Liotard", 
"Kartika Tamara Liotard", "Lambert van Nistelrooij", "Lambert van Nistelrooij", 
"Lambert van Nistelrooij", "Lambert van Nistelrooij", "Lambert van Nistelrooij", 
"Laurence Stassen", "Laurence Stassen", "Laurence Stassen", "Laurence Stassen", 
"Laurence Stassen", "Lucas Hartong", "Lucas Hartong", "Lucas Hartong", 
"Lucas Hartong", "Lucas Hartong", "Marietje Schaake", "Marietje Schaake", 
"Marietje Schaake", "Marietje Schaake", "Marietje Schaake", "Marije Cornelissen", 
"Marije Cornelissen", "Marije Cornelissen", "Marije Cornelissen", 
"Marije Cornelissen", "Patricia van der Kammen", "Patricia van der Kammen", 
"Patricia van der Kammen", "Patricia van der Kammen", "Patricia van der Kammen", 
"Peter van Dalen", "Peter van Dalen", "Peter van Dalen", "Peter van Dalen", 
"Peter van Dalen", "Ria Oomen-Ruijten", "Ria Oomen-Ruijten", 
"Ria Oomen-Ruijten", "Ria Oomen-Ruijten", "Ria Oomen-Ruijten", 
"Sophia in 't Veld", "Sophia in 't Veld", "Sophia in 't Veld", 
"Sophia in 't Veld", "Sophia in 't Veld", "Thijs Berman", "Thijs Berman", 
"Thijs Berman", "Thijs Berman", "Thijs Berman", "Toine Manders", 
"Toine Manders", "Toine Manders", "Toine Manders", "Toine Manders", 
"Wim van de Camp", "Wim van de Camp", "Wim van de Camp", "Wim van de Camp", 
"Wim van de Camp"), partij = c("Partij voor de Vrijheid", "Partij voor de Vrijheid", 
"Partij voor de Vrijheid", "Partij voor de Vrijheid", "Partij voor de Vrijheid", 
"GroenLinks", "GroenLinks", "GroenLinks", "GroenLinks", "GroenLinks", 
"Staatkundig Gereformeerde Partij", "Staatkundig Gereformeerde Partij", 
"Staatkundig Gereformeerde Partij", "Staatkundig Gereformeerde Partij", 
"Staatkundig Gereformeerde Partij", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Socialistische Partij", "Socialistische Partij", "Socialistische Partij", 
"Socialistische Partij", "Socialistische Partij", "Independent", 
"Independent", "Independent", "Independent", "Independent", "Partij van de Arbeid", 
"Partij van de Arbeid", "Partij van de Arbeid", "Partij van de Arbeid", 
"Partij van de Arbeid", "Christen Democratisch Appel", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Democraten 66", "Democraten 66", 
"Democraten 66", "Democraten 66", "Democraten 66", "Volkspartij voor Vrijheid en Democratie", 
"Volkspartij voor Vrijheid en Democratie", "Volkspartij voor Vrijheid en Democratie", 
"Volkspartij voor Vrijheid en Democratie", "Volkspartij voor Vrijheid en Democratie", 
"Volkspartij voor Vrijheid en Democratie", "Volkspartij voor Vrijheid en Democratie", 
"Volkspartij voor Vrijheid en Democratie", "Volkspartij voor Vrijheid en Democratie", 
"Volkspartij voor Vrijheid en Democratie", "Partij van de Arbeid", 
"Partij van de Arbeid", "Partij van de Arbeid", "Partij van de Arbeid", 
"Partij van de Arbeid", "GroenLinks", "GroenLinks", "GroenLinks", 
"GroenLinks", "GroenLinks", "Independent", "Independent", "Independent", 
"Independent", "Independent", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Partij voor de Vrijheid", "Partij voor de Vrijheid", "Partij voor de Vrijheid", 
"Partij voor de Vrijheid", "Partij voor de Vrijheid", "Partij voor de Vrijheid", 
"Partij voor de Vrijheid", "Partij voor de Vrijheid", "Partij voor de Vrijheid", 
"Partij voor de Vrijheid", "Democraten 66", "Democraten 66", 
"Democraten 66", "Democraten 66", "Democraten 66", "GroenLinks", 
"GroenLinks", "GroenLinks", "GroenLinks", "GroenLinks", "Partij voor de Vrijheid", 
"Partij voor de Vrijheid", "Partij voor de Vrijheid", "Partij voor de Vrijheid", 
"Partij voor de Vrijheid", "ChristenUnie", "ChristenUnie", "ChristenUnie", 
"ChristenUnie", "ChristenUnie", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Democraten 66", "Democraten 66", "Democraten 66", "Democraten 66", 
"Democraten 66", "Partij van de Arbeid", "Partij van de Arbeid", 
"Partij van de Arbeid", "Partij van de Arbeid", "Partij van de Arbeid", 
"Volkspartij voor Vrijheid en Democratie", "Volkspartij voor Vrijheid en Democratie", 
"Volkspartij voor Vrijheid en Democratie", "Volkspartij voor Vrijheid en Democratie", 
"Volkspartij voor Vrijheid en Democratie", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel", 
"Christen Democratisch Appel", "Christen Democratisch Appel"), 
    afk = c("PVV", "PVV", "PVV", "PVV", "PVV", "GL", "GL", "GL", 
    "GL", "GL", "SGP", "SGP", "SGP", "SGP", "SGP", "CDA", "CDA", 
    "CDA", "CDA", "CDA", "SP", "SP", "SP", "SP", "SP", "PVV", 
    "PVV", "PVV", "PVV", "PVV", "PvdA", "PvdA", "PvdA", "PvdA", 
    "PvdA", "CDA", "CDA", "CDA", "CDA", "CDA", "D66", "D66", 
    "D66", "D66", "D66", "VVD", "VVD", "VVD", "VVD", "VVD", "VVD", 
    "VVD", "VVD", "VVD", "VVD", "PvdA", "PvdA", "PvdA", "PvdA", 
    "PvdA", "GL", "GL", "GL", "GL", "GL", "SP", "SP", "SP", "SP", 
    "SP", "CDA", "CDA", "CDA", "CDA", "CDA", "PVV", "PVV", "PVV", 
    "PVV", "PVV", "PVV", "PVV", "PVV", "PVV", "PVV", "D66", "D66", 
    "D66", "D66", "D66", "GL", "GL", "GL", "GL", "GL", "PVV", 
    "PVV", "PVV", "PVV", "PVV", "CU", "CU", "CU", "CU", "CU", 
    "CDA", "CDA", "CDA", "CDA", "CDA", "D66", "D66", "D66", "D66", 
    "D66", "PvdA", "PvdA", "PvdA", "PvdA", "PvdA", "VVD", "VVD", 
    "VVD", "VVD", "VVD", "CDA", "CDA", "CDA", "CDA", "CDA"), 
    stemmen = structure(c(1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 
    5L), class = "factor", .Label = c("n.stem.ja", "n.stem.nee", 
    "n.stem.onth", "n.stem.niet", "n.stem.afw")), value = c(38, 
    215, 19, 0, 25, 393, 68, 24, 20, 9, 430, 61, 20, 0, 2, 457, 
    14, 0, 20, 23, 236, 134, 76, 28, 41, 120, 256, 37, 13, 20, 
    426, 23, 5, 19, 42, 417, 22, 4, 33, 42, 424, 14, 9, 19, 44, 
    365, 8, 4, 16, 28, 242, 13, 5, 159, 95, 452, 19, 5, 20, 13, 
    390, 73, 24, 20, 6, 232, 129, 69, 18, 67, 427, 13, 0, 28, 
    46, 102, 353, 29, 5, 25, 84, 274, 27, 16, 23, 449, 19, 5, 
    15, 26, 323, 61, 20, 45, 65, 17, 97, 15, 3, 11, 352, 57, 
    30, 48, 31, 421, 22, 4, 33, 38, 466, 15, 5, 10, 13, 438, 
    23, 5, 25, 23, 455, 19, 15, 31, 0, 456, 19, 0, 30, 9), perc = c(12.7946127946128, 
    72.3905723905724, 6.3973063973064, 0, 8.41750841750842, 76.4591439688716, 
    13.2295719844358, 4.66926070038911, 3.89105058365759, 1.75097276264591, 
    83.8206627680312, 11.8908382066277, 3.89863547758285, 0, 
    0.389863547758285, 88.9105058365759, 2.72373540856031, 0, 
    3.89105058365759, 4.47470817120623, 45.8252427184466, 26.0194174757282, 
    14.7572815533981, 5.4368932038835, 7.96116504854369, 26.9058295964126, 
    57.3991031390135, 8.29596412556054, 2.91479820627803, 4.48430493273543, 
    82.7184466019417, 4.46601941747573, 0.970873786407767, 3.68932038834951, 
    8.15533980582524, 80.5019305019305, 4.24710424710425, 0.772200772200772, 
    6.37065637065637, 8.10810810810811, 83.1372549019608, 2.74509803921569, 
    1.76470588235294, 3.72549019607843, 8.62745098039216, 86.6983372921615, 
    1.90023752969121, 0.950118764845606, 3.80047505938242, 6.65083135391924, 
    47.0817120622568, 2.52918287937743, 0.972762645914397, 30.9338521400778, 
    18.4824902723735, 88.8015717092338, 3.7328094302554, 0.982318271119843, 
    3.92927308447937, 2.55402750491159, 76.0233918128655, 14.2300194931774, 
    4.67836257309941, 3.89863547758285, 1.16959064327485, 45.0485436893204, 
    25.0485436893204, 13.3980582524272, 3.49514563106796, 13.0097087378641, 
    83.0739299610895, 2.52918287937743, 0, 5.44747081712062, 
    8.94941634241245, 19.8443579766537, 68.6770428015564, 5.6420233463035, 
    0.972762645914397, 4.86381322957198, 19.811320754717, 64.622641509434, 
    6.36792452830189, 3.77358490566038, 5.42452830188679, 87.3540856031128, 
    3.69649805447471, 0.972762645914397, 2.91828793774319, 5.05836575875486, 
    62.84046692607, 11.8677042801556, 3.89105058365759, 8.75486381322957, 
    12.6459143968872, 11.8881118881119, 67.8321678321678, 10.4895104895105, 
    2.0979020979021, 7.69230769230769, 67.953667953668, 11.003861003861, 
    5.79150579150579, 9.26640926640927, 5.98455598455598, 81.2741312741313, 
    4.24710424710425, 0.772200772200772, 6.37065637065637, 7.33590733590734, 
    91.5520628683693, 2.94695481335953, 0.982318271119843, 1.96463654223969, 
    2.55402750491159, 85.2140077821012, 4.47470817120623, 0.972762645914397, 
    4.86381322957198, 4.47470817120623, 87.5, 3.65384615384615, 
    2.88461538461538, 5.96153846153846, 0, 88.715953307393, 3.69649805447471, 
    0, 5.83657587548638, 1.75097276264591)), .Names = c("naam", 
"partij", "afk", "stemmen", "value", "perc"), row.names = c(NA, 
130L), class = c("grouped_dt", "tbl_dt", "tbl", "grouped_dt", 
"tbl_dt", "tbl", "data.table", "data.frame"), .internal.selfref = <pointer: 0x7f9c22002d78>, sorted = "naam", vars = list(
    naam))
4

2 回答 2

2

分解您的问题,您似乎想要:

  • n.stem.niet以降序提取 的值value
  • 按此顺序分配因子水平naam

尝试这个:

naamLevels <- with(nl.melt[nl.melt$stemmen == "n.stem.niet"], naam[order(value)])
nl.melt$naam <- factor(nl.melt$naam, levels = naamLevels)

然后绘制:

ggplot(nl.melt, aes(x=naam, y=perc, fill=stemmen)) +
  geom_bar(stat="identity", width=.7) +
  scale_x_discrete(expand=c(0,0)) +
  scale_y_continuous(expand=c(0,0)) +
  coord_flip() +
  theme_bw()

在此处输入图像描述

于 2014-05-19T20:53:04.997 回答
1

这也可以通过

nl.melt$naam <- with(nl.melt, reorder(naam, 
    ifelse(stemmen=="n.stem.niet", perc,0), FUN=max))

随后是相同的绘图命令。

于 2014-05-19T21:01:39.740 回答