Hello,
I'm new to R and in the process of testing it
My first question: I fail to read in my data (ANSI toto.txt file, tab separated)
> test <-read.table("toto.txt")
Error in file(file, "r") : unable to open connection
In addition: Warning message: cannot open file `toto.txt'
- that's because it didnt find the file in that location.
> test <- scan("C:\\toto.txt")
Error in scan("C:\\toto.txt") : "scan" expected a real, got "No_D"
- that's because it did find the file, but there was the text "No_D" in it. scan() will only read numbers unless you tell it otherwise.
> test <-scan("test.dat")
Error in file(file, "r") : unable to open connection
In addition: Warning message: cannot open file `toto.txt
again, its not looking in c:\, so it doesn't find it. Funny how scan("test.dat") brings up an error about "toto.txt" :)
R has a working directory which is where scan() and read.file() will start looking for files without a full path - type getwd() to see where that is at any time.
You didnt try the other option:
test <- read.table("c:\\toto.txt", sep='\t')
- I give a full path to toto.txt and tell it the columns are separated with tabs ('\t'). You may need other options - popular ones are as.is=T which keeps character variables as text rather than converting to categorical data (factors), and head=T if the first line of the file is a header with column names.
If this works, then do names(test) and summary(test) to see what you've got.
second question...what are the size limits of statistical files I can handle? I plan to analize plant datas (up to 500'000 records, from which I will analize a restrictive set of variates ) Even when broken down by some chracteristics, the data to analize can have 50'000-100'000 records
Depends - whats the size of the machine you are using (and dont say its a small box that fits under my monitor). How much RAM and disk space does it have?
Baz
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