Question

我没有找到关于Stack Overflow的问题，所以我允许自己写这个。我想制作有序堆叠条形图（有两个或更多分组/填充变量），所以我编写了代码，你可以在下面找到。

我想知道在没有创建有序因子的情况下更简单/更好地使用ggplot函数是否可行？我会非常感谢所有提示。

这是我的代码

p<-ggplot(data=gf18l, aes(x=variable,y=valuep,fill=ID)) +
  geom_bar(position='stack',stat='identity')

varorder<-gf18l[order(gf18l$ID,gf18l$valuep), ]
varorder<-varorder[varorder$ID==1,'variable']
gf18l$variable<-factor(as.character(gf18l$variable),
                       levels=varorder,
                       labels=varorder,
                       ordered=T)
p %+% gf18l + coord_flip()

这是我的数据

gf18l<-structure(list(ID = c("1", "2", "1", "2", "1", "2", "1", "2", 
        "1", "2", "1", "2", "1", "2", "1", "2", "1", "2", "1", "2", "1", 
        "2", "1", "2", "1", "2", "1", "2", "1", "2", "1", "2", "1", "2", 
        "1", "2", "1", "2"), variable = structure(c(1L, 1L, 2L, 2L, 3L, 
                   3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L, 
                   11L, 11L, 12L, 12L, 13L, 13L, 14L, 14L, 15L, 15L, 16L, 16L, 17L, 
                   17L, 18L, 18L, 19L, 19L), .Label = c("GF18A_01", "GF18A_02", 
                             "GF18A_03", "GF18A_04", "GF18A_05", "GF18A_06", "GF18A_07", "GF18A_08", "GF18A_09", "GF18A_10", "GF18A_11", "GF18A_12", "GF18A_13", "GF18A_14", 
"GF18A_15", "GF18A_16", "GF18A_17", "GF18A_18", "GF18A_19"), class = "factor"), 
       value = c(11336L, 1007L, 2691L, 9629L, 7192L, 5136L, 7740L, 
        4581L, 8794L, 3536L, 7014L, 5317L, 1991L, 10323L, 529L, 11777L, 
        5685L, 6649L, 5465L, 6869L, 906L, 11406L, 357L, 11964L, 7828L, 
        4510L, 7809L, 4525L, 6269L, 6061L, 126L, 12186L, 1533L, 10782L, 
        9719L, 2601L, 989L, 11285L), valuep = c(0.918415296119258, 
                  0.0815847038807421, 0.218425324675325, 0.781574675324675, 
                  0.583387410772226, 0.416612589227774, 0.628195763330898, 
                  0.371804236669102, 0.713219789132198, 0.286780210867802, 
                  0.568810315465088, 0.431189684534912, 0.161685885983434, 
                  0.838314114016567, 0.042987160734601, 0.957012839265399, 
                  0.460921031295606, 0.539078968704394, 0.443084157613102, 
                  0.556915842386898, 0.0735867446393762, 0.926413255360624, 
                  0.0289749208668128, 0.971025079133187, 0.634462635759442, 
                  0.365537364240558, 0.633127939030323, 0.366872060969677, 
                  0.508434712084347, 0.491565287915653, 0.010233918128655, 
                  0.989766081871345, 0.124482338611449, 0.875517661388551, 
                  0.78887987012987, 0.21112012987013, 0.080576829069578, 0.919423170930422
        )), .Names = c("ID", "variable", "value", "valuep"), row.names = c(NA, 
                           -38L), class = "data.frame")

Answer 1

您可以使用limits scale_x_discrete函数中的ggplot2参数来订购条形码。

ggplot(data=gf18l, aes(x=variable,y=valuep,fill=ID)) +
  geom_bar(position='stack',stat='identity') + 
  scale_x_discrete(limits=with(gf18l, variable[ID==1][order(valuep[ID==1])])) + 
  coord_flip()

订购堆积的条形图

1 个答案: