I'm trying to melt and factor a csv table which looks like this:
Name L.i A.g.a.o.p E.NGO S.g.a.o.p A I
L i 29 7 19 5 1 21
A g a o p 7 5 5 3 0 1
E NGO 19 5 15 3 0 10
S g a o p 5 3 3 19 5 18
A 1 0 0 5 0 3
I 21 1 10 18 3 12
With this code:
mylevels <- table$Name
table.m <- melt(table)
table.m$Name <- factor(table.m$Name,levels=mylevels)
table.m$variable <- factor(table.m$variable, levels=mylevels)
The last factoring produces this:
Name variable value
1 L i <NA> 15
2 A g a o p <NA> 3
3 E NGO <NA> 6
4 S g a or p <NA> -11
5 A <NA> -4
6 I <NA> -2
7 L i <NA> 3
8 A g a o p <NA> 4
9 E NGO <NA> 1
10 S g a o p <NA> -2
11 Academia <NA> -1
12 I <NA> -4
13 L i <NA> 6
14 A g a o p <NA> 1
15 E NGO <NA> 10
16 S g a o p <NA> -8
17 A <NA> -4
18 I <NA> -10
19 L i <NA> -11
20 A g a o p <NA> -2
21 E NGO <NA> -8
22 S g a o p <NA> 15
23 A <NA> -2
24 I <NA> 6
25 L i A -4
26 A g a o p A -1
27 E NGO A -4
28 S g a o p A -2
29 A A 0
30 I A 0
31 L i I -2
32 A g a o p I -4
33 E NGO I -10
34 S g a o p I 6
35 A I 0
36 I I 8
I'm guessing the factoring didn't like the space in the names as variables containing spaces are replaced with . How to deal with spaces in variables for this kind of scenario?
1 个答案:
答案 0 :(得分：2)
The values of table.m$variable are being assigned from the column names, which have had dots substituted for spaces (and other characters that are illegal in variable names). You can convert the dots back to spaces via
table.m$variable <- gsub("\\."," ",as.character(table.m$variable))
before your last line, then everything looks fine. Alternatively you might try reading your data in with check.names=FALSE in your read.table/read.csv call ...