Try:
inFile <- file("file.csv", "r")
Then use inFile where you have "file.csv". You are reopening the file
on each call; this keeps the file open.
On 10/30/07, Bryan Hanson <[EMAIL PROTECTED]> wrote:
> Jim, thanks for the suggestion. There is still something subtle &
> non-intuitive going on here. I adapted your code with minor changes as
> follows (I had to add the sep argument) but get different behavior:
>
> c.names <- scan("file.csv", what='', nlines=1, sep=",") # read column names
> c.options <- read.table("file.csv", as.is=TRUE, nrows=2, sep=",") # get
> lines 2-3
> c.data <- read.table("file.csv", sep=",") # rest of the data
> colnames("file.csv") <- c.names
>
> Your code works perfectly (you knew that!). My adaptation runs, but
> c.options contains the first two lines, not lines 2 & 3, and c.data contains
> the contents of the entire file as *factors* (data type of c.names &
> c.options is correct - character). How strange!
>
> Also, and this is an observation rather than a question: in your code, you
> call scan and get the first line as characters, then you do read.table which
> gets lines 2 & 3 presumably because the first line, from read.table's
> perspective is a hidden label (?), then the second time you use read.table
> the hidden first line is ignored, as are the two lines with character data.
> I really don't understand these behaviors, which is probably why I'm having
> trouble parsing the file!
>
> Thanks, Bryan
>
> On 10/30/07 8:40 PM, "jim holtman" <[EMAIL PROTECTED]> wrote:
>
> > Here is one way. You will probably use 'file' instead of textConnection
> >
> >> x.in <- textConnection('wavelength SampleA SampleB SampleC SampleD
> > + color "green" "black" "black" "green"
> > + class "Class 1" "Class 2" "Class 2" "Class 1"
> > + 403 1.94E-01 2.14E-01 2.11E-01 1.83E-01
> > + 409 1.92E-01 1.89E-01 2.00E-01 1.82E-01
> > + 415 1.70E-01 1.99E-01 1.94E-01 1.86E-01
> > + 420 1.59E-01 1.91E-01 2.16E-01 1.74E-01
> > + 426 1.50E-01 1.66E-01 1.72E-01 1.58E-01
> > + 432 1.42E-01 1.50E-01 1.62E-01 1.48E-01')
> >>
> >> c.names <- scan(x.in, what='', nlines=1) # read column names
> > Read 5 items
> >> c.options <- read.table(x.in, as.is=TRUE, nrows=2) # get lines 2-3
> >> c.data <- read.table(x.in) # rest of the data
> >> colnames(c.data) <- c.names
> >> close(x.in)
> >> c.options # here are lines 2-3
> > V1 V2 V3 V4 V5
> > 1 color green black black green
> > 2 class Class 1 Class 2 Class 2 Class 1
> >> c.data # your data
> > wavelength SampleA SampleB SampleC SampleD
> > 1 403 0.194 0.214 0.211 0.183
> > 2 409 0.192 0.189 0.200 0.182
> > 3 415 0.170 0.199 0.194 0.186
> > 4 420 0.159 0.191 0.216 0.174
> > 5 426 0.150 0.166 0.172 0.158
> > 6 432 0.142 0.150 0.162 0.148
> >
> >
> > On 10/30/07, Bryan Hanson <[EMAIL PROTECTED]> wrote:
> >> Hi Folks... Œbeen playing with this for a while, with no luck, so I¹m
> >> hoping
> >> someone knows it off the top of their head... Difficult to find this
> >> nuance
> >> in the archives, as so many msgs deal with read.csv!
> >>
> >> I¹m trying to read a data file with the following structure (a little piece
> >> of the actual data, they are actually csv just didn¹t paste with the
> >> commas):
> >>
> >> wavelength SampleA SampleB SampleC SampleD
> >> color "green" "black" "black" "green"
> >> class "Class 1" "Class 2" "Class 2" "Class 1"
> >> 403 1.94E-01 2.14E-01 2.11E-01 1.83E-01
> >> 409 1.92E-01 1.89E-01 2.00E-01 1.82E-01
> >> 415 1.70E-01 1.99E-01 1.94E-01 1.86E-01
> >> 420 1.59E-01 1.91E-01 2.16E-01 1.74E-01
> >> 426 1.50E-01 1.66E-01 1.72E-01 1.58E-01
> >> 432 1.42E-01 1.50E-01 1.62E-01 1.48E-01
> >>
> >> Columns after the first one are sample names. 2nd row is the list of
> >> colors
> >> to use in later plotting. 3rd row is the class for later manova. The rest
> >> of it is x data in the first column with y1, y2...following for plotting.
> >>
> >> I can read the file w/o the color or class rows with read.csv just fine,
> >> makes a nice data frame with proper data types. The problem comes when
> >> parsing the 2nd and 3rd rows. Here¹s the code:
> >>
> >> data = read.csv("filename", header=TRUE) # read in data
> >> color = data[1,]; color = data[-1] # capture color info & throw out 1st
> >> value
> >> class = data[2,]; class = class[-1] # capture category info & throw out 1st
> >> value
> >>
> >> cleaned.data = data[-1,] # remove color & category info for matrix
> >> operations
> >> cleaned.data = data[-1,]
> >> freq = data[,1] # capture frequency info
> >>
> >> What happens is that freq is parsed as factors, and the color and class are
> >> parsed as a data frames of factors.
> >> I need color and class to be characters which I can pass to functions in
> >> the
> >> typical way one uses colors and levels.
> >> I need the freq & the cleaned.data info as numeric for plotting.
> >>
> >> I don¹t feel I¹m far off from things working, but that¹s where you all come
> >> in! Seems like an argument of as.something is needed, but the ones I¹ve
> >> tried don¹t work. Would it help to put color and class above the x,y data
> >> in the file, then clean it off?
> >>
> >> Btw, I¹m on a Mac using R 2.6.0.
> >>
> >> Thanks in advance, Bryan
> >> *************
> >> Bryan Hanson
> >> Professor of Chemistry & Biochemistry
> >>
> >>
> >>
> >>
> >> [[alternative HTML version deleted]]
> >>
> >>
> >> ______________________________________________
> >> 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.
> >>
> >>
> >
>
>
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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