在叠置条添加文本，其中水平使用STAT有序=摘要

这里是数据：在叠置条添加文本，其中水平使用STAT有序=摘要

df_test<-structure(list(MIRNA = c("let-7c", "let-7c", "let-7c", "let-7c", 
"let-7c", "let-7c", "let-7c", "mir-125b-2", "mir-125b-2", "mir-125b-2", 
"mir-125b-2", "mir-125b-2", "mir-125b-2", "mir-125b-2", "mir-155", 
"mir-155", "mir-155", "mir-155", "mir-155", "mir-155", "mir-155", 
"mir-4760", "mir-4760", "mir-4760", "mir-4760", "mir-4760", "mir-4760", 
"mir-4760", "mir-548x", "mir-548x", "mir-548x", "mir-548x", "mir-548x", 
"mir-548x", "mir-6501", "mir-6501", "mir-6501", "mir-6501", "mir-6501", 
"mir-6501", "mir-6501", "mir-6508", "mir-6508", "mir-6508", "mir-6508", 
"mir-6508", "mir-6508", "mir-6508", "mir-6814", "mir-6814", "mir-6814", 
"mir-6814", "mir-6814", "mir-6814", "mir-6815", "mir-6815", "mir-6815", 
"mir-6815", "mir-6815", "mir-6815", "mir-99a", "mir-99a", "mir-99a", 
"mir-99a", "mir-99a", "mir-99a", "mir-99a"), MIRNA_Feature = structure(c(6L, 
5L, 3L, 2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 4L, 6L, 5L, 3L, 
2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 
1L, 6L, 5L, 3L, 2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 4L, 6L, 
5L, 3L, 2L, 1L, 4L, 6L, 5L, 3L, 2L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 
1L, 4L), .Label = c("Precursor_5PrimeEnd", "5p_Seed", "5p_Mature", 
"Precursor_Loop", "3p_Seed", "3p_Mature", "Precursor_3PrimeEnd" 
), class = "factor"), domain_length = c(13L, 9L, 13L, 9L, 7L, 
10L, 23L, 13L, 9L, 13L, 9L, 14L, 16L, 15L, 13L, 9L, 14L, 9L, 
1L, 3L, 16L, 13L, 9L, 13L, 9L, 7L, 9L, 20L, 14L, 9L, 11L, 9L, 
10L, 45L, 14L, 9L, 13L, 9L, 1L, 2L, 19L, 13L, 9L, 12L, 9L, 2L, 
4L, 11L, 13L, 9L, 13L, 9L, 5L, 21L, 12L, 9L, 14L, 9L, 5L, 12L, 
13L, 9L, 13L, 9L, 10L, 12L, 15L), order = c(6L, 5L, 3L, 2L, 7L, 
1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 4L, 
6L, 5L, 3L, 2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 6L, 5L, 3L, 
2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 4L, 6L, 5L, 3L, 2L, 1L, 
4L, 6L, 5L, 3L, 2L, 1L, 4L, 6L, 5L, 3L, 2L, 7L, 1L, 4L), expr = c(1, 
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2.6, 
1, 1, 1, 1, 1, 1, 1, 1, 1, 3.4, 1, 1, 3.6, 2.6, 1, 1, 1, 1, 1, 
2.4, 1, 1, 6, 3.4, 1, 1, 1, 1, 1, 1, 2.4, 1, 1, 1, 1, 2.8, 1, 
1, 1, 1, 1, 1, 1, 1, 1, 1.6)), .Names = c("MIRNA", "MIRNA_Feature", 
"domain_length", "order", "expr"), row.names = c("29", "30", 
"31", "32", "33", "34", "35", "334", "335", "336", "337", "338", 
"339", "340", "695", "696", "697", "698", "699", "700", "701", 
"3084", "3085", "3086", "3087", "3088", "3089", "3090", "4111", 
"4112", "4113", "4114", "4115", "4116", "4433", "4434", "4435", 
"4436", "4437", "4438", "4439", "4481", "4482", "4483", "4484", 
"4485", "4486", "4487", "5260", "5261", "5262", "5263", "5264", 
"5265", "5266", "5267", "5268", "5269", "5270", "5271", "6098", 
"6099", "6100", "6101", "6102", "6103", "6104"), class = "data.frame")

我命令他们根据在MIRNA_Feature列中的水平，像这样：

df_test$MIRNA_Feature<-factor(df_test$MIRNA_Feature,levels=c("Precursor_5PrimeEnd","5p_Seed","5p_Mature","Precursor_Loop","3p_Seed","3p_Mature","Precursor_3PrimeEnd"))

然后绘制与标签堆叠条形图，并获得该地块：

ggplot(df_test,aes(x=MIRNA,y=domain_length,fill = MIRNA_Feature))+geom_bar(stat="identity")+geom_label(aes(label=expr),position="stack")+coord_flip()

的问题是，我得到了指定可以lost.I使用STAT =总之，像这样获得所需的订单，但随后的标签的顺序都是关闭的顺序：

ggplot(df_test,aes(x=MIRNA,y=domain_length,fill = MIRNA_Feature))+geom_bar(stat="summary",fun.y=sum)+geom_label(aes(label=expr),position="stack")+coord_flip()

情节是这样的：

看起来像标签的排序是分开（按字母顺序）完成的，并且在使用stat =“summary”时按照指定顺序完成堆叠。任何帮助解决这一点非常感谢。

来源

2016-08-27 thisisrg

变化'df_test $ MIRNA_Feature < - 因子（as.factor（df_test $ MIRNA_Feature），... 'to'df_test $ MIRNA_Feature <-factor（df_test $ MIRNA_Feature，...' – eipi10

@ eipi10 yep ... agree..that是不必要的，我会解决它。（http://stackoverflow.com/questions/6644997/showing-data-values-on-stacked-bar-chart-in-ggplot2#comment7870900_6644997）+ ggplot2 geom_text页也很有帮助。不想错误的顺序+位置，谢谢！ – thisisrg

ggplot version 2.1, stat_summary保留数据框中的顺序，所以您需要事先对数值进行排序。例如：

ggplot(df_test[order(df_test$MIRNA, df_test$MIRNA_Feature),], 
     aes(x=MIRNA,y=domain_length,fill = MIRNA_Feature)) + 
    geom_bar(stat="summary", fun.y=sum) + 
    geom_label(aes(label=expr), position="stack") + 
    coord_flip()

围绕各条内标签将使积少一点混乱。您可以通过创建一个新列（我称之为y.pos）来设置标签位置。我从dplyr包使用的链接操作（%>%）来简化这个：

library(dplyr) 

df_test %>% 
    group_by(MIRNA) %>% 
    arrange(MIRNA, MIRNA_Feature) %>% 
    mutate(y.pos = cumsum(domain_length) - 0.5*domain_length) %>% 
ggplot(aes(x=MIRNA, fill = MIRNA_Feature)) + 
    geom_bar(stat="summary", aes(y=domain_length), fun.y=sum) + 
    geom_label(aes(label=expr, y=y.pos), size=2.7, 
      label.padding=unit(0.15, "lines"), show.legend=FALSE) + 
    coord_flip()

来源

2016-08-27 21:08:08 eipi10

在叠置条添加文本，其中水平使用STAT有序=摘要

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