Greg,
I found your suggestion very efficient! And I tried testing it,
however, it didn't work:
###start of file
rm(list=ls())
setwd("/Users/John/Documents/Research/Experiments/expt108/")
##test out 3 files only
nms <- c("019-v1-msa1.data","019-v1-msa2.data","019-v1-msa3.data")
my.data <- list()
for(i in nms) my.data[[i]] <- read.table(i)
setwd("/Users/John/Programs/R/")
save(list=ls(all=TRUE), file="Expt108Files.Rdata")
###end of file
At first, I get this error:
Expt108Files.R: unexpected symbol at
10: ,"019--v1-msa1.gazedata"
Then I renames the 3 files to the followings:
nms <- c("019v1msa1.data","019v1msa2.data","019v1msa3.data")
And I received this error instead:
Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
line 2 did not have 36 elements
Thanks!
- John
On Mon, Dec 8, 2008 at 4:10 PM, Greg Snow <[EMAIL PROTECTED]> wrote:
> I really don't understand your concern. Something like:
>
>> nms <- c('file1','file2','file3')
>> my.data <- list()
>> for (i in nms) my.data[[ i ]] <- read.table(i)
>
> Will read in the files listed in the nms vector and put them into the list
> my.data (each data frame is a single element of the list). This list will
> not take up about the same amount of memory as if you read each file into a
> dataframe in the global environment. And there is no transforming of data
> frames (into 1 row or otherwise).
>
> --
> Gregory (Greg) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
> [EMAIL PROTECTED]
> 801.408.8111
>
>
>> -----Original Message-----
>> From: tsunhin wong [mailto:[EMAIL PROTECTED]
>> Sent: Monday, December 08, 2008 1:34 PM
>> To: Greg Snow
>> Cc: Jim Holtman; r-help@r-project.org; [EMAIL PROTECTED]
>> Subject: Re: [R] Transforming a string to a variable's name? help me
>> newbie...
>>
>> I want to combine all dataframes into one large list too...
>> But each dataframe is a 35 columns x varying number of rows structure
>> (from 2000 to >9000 rows)
>> I have ~1500 dataframes of these to process, and that add up to >
>> 1.5Gb of data...
>>
>> Combining dataframes into a single one require me to transform each
>> single dataframe into one line, but I really don't have a good
>> solution for the varying number of rows scenario... And also, I don't
>> want to stall my laptop every time I run the data set: maybe I can do
>> that when my prof give me a ~ 4Gb ram desktop to run the script ;)
>>
>> Thanks! :)
>>
>> - John
>>
>> On Mon, Dec 8, 2008 at 1:36 PM, Greg Snow <[EMAIL PROTECTED]> wrote:
>> > In the long run it will probably make your life much easier to read
>> all the dataframes into one large list (and have the names of the
>> elements be what your currently name the dataframes), then you can just
>> use regular list indexing (using [[]] rather than $ in most cases)
>> instead of having to worry about get and assign and the
>> risks/subtleties involved in using those.
>> >
>> > Hope this helps,
>> >
>> > --
>> > Gregory (Greg) L. Snow Ph.D.
>> > Statistical Data Center
>> > Intermountain Healthcare
>> > [EMAIL PROTECTED]
>> > 801.408.8111
>> >
>> >
>> >> -----Original Message-----
>> >> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
>> >> project.org] On Behalf Of tsunhin wong
>> >> Sent: Monday, December 08, 2008 8:45 AM
>> >> To: Jim Holtman
>> >> Cc: r-help@r-project.org
>> >> Subject: Re: [R] Transforming a string to a variable's name? help me
>> >> newbie...
>> >>
>> >> Thanks Jim and All!
>> >>
>> >> It works:
>> >> tmptrial <- trialcompute(trialextract(
>> >> get(paste("t",tmptrialinfo[1,2],tmptrialinfo[1,16],".gz",sep="")) ,
>> >> tmptrialinfo[1,32],secs,sdm),secs,binsize)
>> >>
>> >> Can I use "assign" instead? How should it be coded then?
>> >>
>> >> Thanks!
>> >>
>> >> - John
>> >>
>> >> On Mon, Dec 8, 2008 at 10:40 AM, Jim Holtman <[EMAIL PROTECTED]>
>> >> wrote:
>> >> > ?get
>> >> >
>> >> >
>> >> > Sent from my iPhone
>> >> >
>> >> > On Dec 8, 2008, at 7:11, "tsunhin wong" <[EMAIL PROTECTED]> wrote:
>> >> >
>> >> >> Dear all,
>> >> >>
>> >> >> I'm a newbie in R.
>> >> >> I have a 45x2x2x8 design.
>> >> >> A dataframe stores the metadata of trials. And each trial has its
>> >> own
>> >> >> data file: I used "read.table" to import every trial into R as a
>> >> >> dataframe (variable).
>> >> >>
>> >> >> Now I dynamically ask R to retrieve trials that fit certain
>> >> selection
>> >> >> criteria, so I use "subset", e.g.
>> >> >> tmptrialinfo <- subset(trialinfo, (Subject==24 &
>> >> Filename=="v2msa8"))
>> >> >>
>> >> >> The name of the dataframe / variable of an individual trial can
>> be
>> >> >> obtained using:
>> >> >> paste("t",tmptrialinfo[1,2],tmptrialinfo[1,16],".gz",sep="")
>> >> >> Then I get a string:
>> >> >> "t24v2msa8.gz"
>> >> >> which is of the exact same name of the dataframe / variable of
>> that
>> >> >> trial, which is:
>> >> >> t24v2msa8.gz
>> >> >>
>> >> >> Can somebody tell me how can I change that string (obtained from
>> >> >> "paste()" above) to be a usable / manipulable variable name, so
>> that
>> >> I
>> >> >> can do something, such as:
>> >> >> (1)
>> >> >> tmptrial <- trialcompute(trialextract(
>> >> >> paste("t",tmptrialinfo[1,2],tmptrialinfo[1,16],".gz",sep="")
>> >> >> ,tmptrialinfo[1,32],secs,sdm),secs,binsize)
>> >> >> instead of hardcoding:
>> >> >> (2)
>> >> >> tmptrial <-
>> >> >>
>> >>
>> trialcompute(trialextract(t24v2msa8.gz,tmptrialinfo[1,32],secs,sdm),sec
>> >> s,binsize)
>> >> >>
>> >> >> Currently, 1) doesn't work...
>> >> >>
>> >> >> Thanks in advance for your help!
>> >> >>
>> >> >> Regards,
>> >> >>
>> >> >> John
>> >> >>
>> >> >> ______________________________________________
>> >> >> R-help@r-project.org mailing list
>> >> >> https://stat.ethz.ch/mailman/listinfo/r-help
>> >> >> PLEASE do read the posting guide
>> >> >> http://www.R-project.org/posting-guide.html
>> >> >> and provide commented, minimal, self-contained, reproducible
>> code.
>> >> >
>> >>
>> >> ______________________________________________
>> >> R-help@r-project.org mailing list
>> >> https://stat.ethz.ch/mailman/listinfo/r-help
>> >> PLEASE do read the posting guide http://www.R-project.org/posting-
>> >> guide.html
>> >> and provide commented, minimal, self-contained, reproducible code.
>> >
>
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