熔化数据框的子集

Question

我的数据框

a<-c(2, 4, 6, 6, 8, 10, 12, 13, 14)
c<-c(2, 2, 2, 2, 2, 2, 4, 4,4)
d<-c(10, 10, 10, 30, 30, 30, 50, 50, 50)
ID<-rep(c("no","bo", "fo"), each=3)
mydata<-data.frame(ID, a, c, d)

gg.df <- melt(mydata, id="ID", variable.name="variable")

我只想对变量 "no" 进行子集化，我试过：

gg.df[,"variable"=="no"]

哪个returns

data frame with 0 columns and 27 rows

Answer 1

请参考子集函数：

no.df <- subset( x      = gg.df
               , subset = ID == "no" 
               )

 ID variable value
1  no        a     2
2  no        a     4
3  no        a     6
10 no        c     2
11 no        c     2
12 no        c     2
19 no        d    10
20 no        d    10
21 no        d    10

或者：

gg.df[ ID == "no",  ]

   ID variable value
1  no        a     2
2  no        a     4
3  no        a     6
10 no        c     2
11 no        c     2
12 no        c     2
19 no        d    10
20 no        d    10
21 no        d    10

熔化数据框的子集

Subset of a melt dataframe

r

melt