extracting information from txt file
Using na.string works better:
x <- read.csv("http://www.epa.gov/emap/html/data/surfwatr/data/mastreams/9396/wchem/chmval.txt", skip=84, as.is = TRUE, na.string = '.')
str(x)
'data.frame': 711 obs. of 75 variables: $ ALDI : int NA NA NA NA NA NA NA NA NA NA ... $ ALDS : chr NA "S" "S" "S" ... $ ALDSF : chr " " " " " " " " ... $ ALKCALC : num 106 210.7 73.5 432.6 38.7 ... $ ALOR : chr NA "S" "S" "S" ... $ ALORF : chr " " " " " " " " ... $ ALTD : int 54 36 47 12 19 10 12 5 8 6 ... $ ALTDF : chr " " " " " " " " ... $ ANC : num 115 207.2 82.2 435.2 37.4 ... $ ANCF : chr " " " " " " " " ... $ ANDEF : num 82.5 52.3 31.8 21.9 12.2 ... $ ANSUM : num 771 728 328 892 251 ... $ CA : num 303 529 182 392 124 ...
On Wed, Oct 31, 2012 at 12:46 PM, chuck.01 <CharlieTheBrown77 at gmail.com> wrote:
Hello, Here is a link to some data: http://www.epa.gov/emap/html/data/surfwatr/data/mastreams/9396/wchem/chmval.txt I am trying to read this in, and want to use: chmval <- read.table("http://www.epa.gov/emap/html/data/surfwatr/data/mastreams/9396/wchem/chmval.txt", sep=",", skip= 84, header=T) the # 84, for 84 lines skipped needs to be derived from the 5th line of the txt file # Header Records: 85 so, I need that # (-1) for input into the read.table statement above I've tried grep but that didn't work: (for this I downloaded the txt file and manually removed that hash mark!) grep("Header Records:", read.table("chmval.txt", header=T)) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 5 elements Any ideas? Can I just extract the 5th line? -- View this message in context: http://r.789695.n4.nabble.com/extracting-information-from-txt-file-tp4648033.html Sent from the R help mailing list archive at Nabble.com.
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