Dear friends,
I am beginning to use R software in my academic research and I'm having some
problems regarding the use of PCA.
I have a table with 24445 rows and 9 columns, and I used the function
prcomp() to do the analysis.
Working with an example…:
x<-read.table("test.txt", header=T)
row.names(x)<-x[,1]
x<-x[,-1]
require(stats)
pca<-prcomp(x, scale=T)
names(pca)
## here begin my problems… know what…??##
My questions are:
1. How can I group my samples (rows) in a graphical way?
2. How can I extract the samples related to each group? …or… How can I
create a new column with "n" values corresponding to each group created?
3. Is it possible to extract/export the information in an object into a file
with a dbf extension (e.g. test.dbf)?
Best regards,
Carlos
+++++++++++++++++++++++++++++++
Carlos GUERRA
Instituto Politécnico de Viana do Castelo
Escola Superior Agrária de Ponte de Lima
Mosteiro de Refóios do Lima
4990-706 Ponte de Lima
PORTUGAL
MAIL: [EMAIL PROTECTED]
TEL: +351 912 407 109
+++++++++++++++++++++++++++++++
FID ALTIM TEMP CLI FAS
0 14 4 1 2
1 65 1 1 3
2 54 1 7 1
3 112 1 5 1
4 117 4 2 1
5 180 2 1 2
6 54 4 1 3
7 125 4 1 2
8 217 4 2 2
9 171 3 2 2
10 37 4 3 3
11 114 2 4 3
12 229 4 4 3
13 286 3 3 3
14 227 3 5 3
15 16 4 5 2
16 74 4 5 2
17 89 4 6 1
18 98 2 5 1
19 64 2 4 2
20 96 2 6 1
21 100 4 6 3
22 147 4 7 1
23 196 4 7 3
24 282 3 1 3
25 308 3 1 3
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