2017-08-03 146 views
0

我有这样我怎样才能把另一个标签与指数在ggplot

df<- structure(list(ID = structure(c(12L, 3L, 10L, 5L, 2L, 7L, 11L, 
6L, 1L, 4L, 9L, 8L), .Label = c("O00330", "P18085", "P48507", 
"P49588", "P68104", "Q02338", "Q71UM5", "Q86X55", "Q8N8R3-1", 
"Q96D46", "Q9HC98-2", "Q9UBS4"), class = "factor"), S1 = c(9.202092, 
8.235443, 8.041566, 8.573015, 7.304765, 7.713755, 7.295146, 7.244745, 
7.34637, 7.11046, 7.644448, 6.602916), S2 = c(4.601046, 4.117722, 
4.020783, 8.521702, 3.652383, 3.856877, 3.647573, 3.622372, 3.673185, 
3.55523, 3.822224, 3.301458), S3 = c(42.99771, 37.97722, 37.81253, 
37.56675, 34.14236, 33.68886, 33.46629, 33.25362, 32.74997, 32.35916, 
30.98728, 30.65774)), .Names = c("ID", "S1", "S2", "S3"), row.names = c(NA, 
-12L), class = "data.frame") 

数据我尝试用另一种颜色来绘制它和特定点

index1 <- as.integer(c(1,2,4,6)) 
index2 <- as.integer(c(3,7)) 

library(ggplot2) 

    ggplot(data=df, aes(x = S1, y = S2)+ 
     geom_point(colour="blue",size=1)+ 
     geom_point(data=df[index1, ], aes(x = S1, y = S2), colour="red", size=2)+ 
     geom_point(data=df[index2, ], aes(x = S1, y = S2), colour="green", size=3)+ 
     geom_text(data=df[index1, ], aes(x = S1, y = S2, label=ID),hjust = 0, nudge_x = 0.1))+ 
     geom_text(data=df[index2, ], aes(x = S1, y = S2, label=ID),hjust = 0, nudge_x = 0.1)) 

我希望把另一名称代替的ID这些索引

例如,对于指数6

1 ----> NAT 
2-----> BER2 
4-----> RAMS 
6-----> RATA 

并为指数2

3 ----> NAYT 
7-----> BER7 
+1

如果你有一个表,看起来像'ID |名称“,您可以使用”merge“来加入它们。如果你没有那张桌子,你可以创建它。 – Mako212

+0

而不是使用你的索引符号,如果你只关心这两个子集,我会创建它们作为单独的数据框:'dfIndex1 <-df [c(1,2,4,6),]' – Mako212

回答

0

我想创建一个查找表

df2 <- data.frame(ID = df$ID, Names = c("NAT", "BER2","NAYT", 
    "RAMS",NA,"RATA","BER7",NA,NA,NA,NA,NA)) 

dfNew <- merge(df,df2) 

输出:

  ID  S1  S2  S3 Names 
1 O00330 7.346370 3.673185 32.74997 <NA> 
2 P18085 7.304765 3.652383 34.14236 <NA> 
3 P48507 8.235443 4.117722 37.97722 BER2 
4 P49588 7.110460 3.555230 32.35916 <NA> 
5 P68104 8.573015 8.521702 37.56675 RAMS 
6 Q02338 7.244745 3.622372 33.25362 <NA> 
7 Q71UM5 7.713755 3.856877 33.68886 RATA 
8 Q86X55 6.602916 3.301458 30.65774 <NA> 
9 Q8N8R3-1 7.644448 3.822224 30.98728 <NA> 
10 Q96D46 8.041566 4.020783 37.81253 NAYT 
11 Q9HC98-2 7.295146 3.647573 33.46629 BER7 
12 Q9UBS4 9.202092 4.601046 42.99771 NAT 
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