You may be missing something. After you create all
those objects,
you'll want to use them. Use get():
for (i in 1:10) ... get(paste("object",i,sep=""))
...
It took me about a week to find out how to do this.
I waited for a
few days, but before I got to ask this basic/rtfm
question, someone
else - fortunately :-) - did.
HTH,
b.
-----Original Message-----
From: John [mailto:cyracules at yahoo.co.uk]
Sent: Monday, November 29, 2004 4:03 PM
To: r-help at stat.math.ethz.ch
Subject: [R] [BASIC] Solution of creating a sequence
of object names
Dear R-users,
I state that this is for beginners, so you may
ignore
this in order not to be irritated.
By the way, "patience" is another important thing,
together with "kindness", we should keep in mind
when
we teach students and our own children as Jim Lemon
pointed out well in the context of the Socratic
method. You may know that being kind does not mean
giving "spoonfed" answers to questioners.
---------------------
I was asked for the solution of my problem, and a
couple of answers were given to me in private
emails.
I am not sure if it was a mere accident. I post them
now, without their permission, for those who are
interested in learning them. So if you're happy to
know the solution, thanks should go to the person
concerned. I thank all the three people named below.
(1) my solution after reading the R-FAQ 7.21 as Uwe
Ligges pointed out
+ assign(paste("my.file.", i, sep=""), NULL)
+ }
(2) Adai Ramasamy's solution
for(obj in paste("my.ftn", 1:10, sep=""))
for(i in 1:10) assign(paste("my.ftn", i, sep=""),
(3) James Holtman's solution
# For example, if you want to generate 10 groups
# of 5 random numbers and store them
# under then names "GRPn" where n is 1 -> 10,
# the following can be used:
#
Result <- list() # create the list
for (i in 1:10) Result[[paste("GRP", i, sep='')]]
<-
runif(5) # store each result
Result # print out the data
$GRP1
[1] 0.2655087 0.3721239 0.5728534 0.9082078
0.2016819
$GRP2
[1] 0.89838968 0.94467527 0.66079779 0.62911404
0.06178627
$GRP3
[1] 0.2059746 0.1765568 0.6870228 0.3841037
0.7698414
$GRP4
[1] 0.4976992 0.7176185 0.9919061 0.3800352
0.7774452
$GRP5
[1] 0.9347052 0.2121425 0.6516738 0.1255551
0.2672207
$GRP6
[1] 0.38611409 0.01339033 0.38238796 0.86969085
0.34034900
$GRP7
[1] 0.4820801 0.5995658 0.4935413 0.1862176
0.8273733
$GRP8
[1] 0.6684667 0.7942399 0.1079436 0.7237109
0.4112744
$GRP9
[1] 0.8209463 0.6470602 0.7829328 0.5530363
0.5297196
$GRP10
[1] 0.78935623 0.02333120 0.47723007 0.73231374
0.69273156