why you don't use read.csv2 (you save your file.csv) and you write read.csv2("path file",sep=",") hope this helps
________________________________ De : Mark Breman <breman.m...@gmail.com> à : r-h...@stat.math.ethz.ch Envoyé le : Mercredi, 12 Août 2009, 10h46mn 43s Objet : [R] Zoo and numeric data Hi, I have a csv file with different datatypes: 2009-01-01, character1, 10, 20.1 2009-01-02, character2, 11, 21.1 (I have attached the file to this post) I read this file with read.zoo as I want a zoo/xts timeseries: > t = read.zoo("./data.txt", sep=",", dec = ".", header=FALSE) If I look at the zoo data all integer/numeric columns are read as character: > str(t) âzooâ series from 2009-01-01 to 2009-01-02  Data: chr [1:2, 1:3] " character1" " character2" "10" "11" "20.1" "21.1" - attr(*, "dimnames")=List of 2  ..$ : NULL  ..$ : chr [1:3] "V2" "V3" "V4"  Index: Class 'Date' num [1:2] 14245 14246 So I try the colClasses parameter with read.zoo but it looks like this does not make any difference: > t1 = read.zoo("./data.txt", sep=",", dec = ".", header=FALSE, colClasses=c("Date", "character", "integer", "numeric")) > str(t1) âzooâ series from 2009-01-01 to 2009-01-02  Data: chr [1:2, 1:3] " character1" " character2" "10" "11" "20.1" "21.1" - attr(*, "dimnames")=List of 2  ..$ : NULL  ..$ : chr [1:3] "V2" "V3" "V4"  Index: Class 'Date' num [1:2] 14245 14246 Why does read.zoo ignores the colClasses parameter and how do I get integer/numeric data into my zoo series? Regards, -Mark- [[alternative HTML version deleted]]
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