[R] Inputing data from multiple files as time series objects
ManuelPerera-Chang@fmc-ag.com
ManuelPerera-Chang at fmc-ag.com
Fri Nov 11 16:24:48 CET 2005
Hi Constantine,
I have not tested it but try ...
y<-c("IBM","MS","DELL","SIEMENS","SUN")
read.data.myfunction<-function(x){
for(i in 1:length(x))
{
paste(x[i],sep="") <-
ts(read.table(paste(x[i],".txt",sep=""), header = TRUE))
}
}
read.data.myfunction(y)
Manuel
Constantine
Tsardounis To: r-help at stat.math.ethz.ch
<costas.magnuse at gmail cc:
.com> Subject: [R] Inputing data from multiple files as time series objects
Sent by:
r-help-bounces at stat.m
ath.ethz.ch
11.11.2005 15:07
Hello to everyone,...
I am a new R ambitious user. I would like to be the first at my
department using R, but I have encountered a difficulty during the
last days that I cannot overcome reading help() and searching over the
net.
Problem:
I have multiple files with financial data like the following (header
included):
E.g.:
filename: AOL.txt
aol.txt
4
3
5
3...
filename: IBM.txt
ibm.txt
6
2
5
2...
I would like to input these data in R as time-series objects with
their corresponding names automatically, so that I can manipulate them
(exempli gratia plot acf, pacf, differntiate them, make adf tests,
etc)
For example: I could do that by hand using:
AOL <- ts(read.table(AOL.txt, header = TRUE))))
IBM <- ts(read.table(IBM.txt, header = TRUE))))
but is there another way to achieve the same actions as above with a
more versatile way? (for example loops?)
Or would you suggest inputing these data with another way or as other
objects?
Thank you very much in advance,...
Tsardounis Costas
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