Thanks Natasha, Rainer and David. Your support allow me to solve the issue
with the factor number.
Sincerely
Sandro
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I guess the problem starts with setting read.table(...dec = ",", ... ).
The data in your file are with decimal point.
Without that, it works just fine:
> f <- "http://r.789695.n4.nabble.com/file/n4498828/p_diarios.txt";
> df <- read.table( f, header = TRUE )
> log.Price <- log(df$price)
> he
As.numeric(as.character(factor.level.to.convert))
On Mar 23, 2012 11:40 AM, "sandro" wrote:
> Hello, I am relatively new to using R.
>
> The text file contains the date and price . I want to read and manipulate
> the data in R. However, when I use read.table, it treats all of the data
> as
> "f
On Mar 23, 2012, at 9:38 AM, sandro wrote:
Hello, I am relatively new to using R.
The text file contains the date and price . I want to read and
manipulate
the data in R. However, when I use read.table, it treats all of the
data as
"factors" and I do not know how to treat the data as nu
On 23.03.2012 15:31, chuck.01 wrote:
Using your posed data, the variable price was numeric:
data.precios<-
read.table("http://r.789695.n4.nabble.com/file/n4498828/p_diarios.txt";,
header=T)
str(data.precios)
'data.frame': 1996 obs. of 2 variables:
$ time : int 37988 37991 37993 37994 37
Using your posed data, the variable price was numeric:
data.precios <-
read.table("http://r.789695.n4.nabble.com/file/n4498828/p_diarios.txt";,
header=T)
str(data.precios)
'data.frame': 1996 obs. of 2 variables:
$ time : int 37988 37991 37993 37994 37995 37998 37999 38000 38001 38002
...
$
Hello, I am relatively new to using R.
The text file contains the date and price . I want to read and manipulate
the data in R. However, when I use read.table, it treats all of the data as
"factors" and I do not know how to treat the data as numbers:
http://r.789695.n4.nabble.com/file/n4498828/
Also you might want to use read.zoo from the zoo package
which will read the file in and will convert the dates at the same time
into a zoo object. Something like:
library(zoo)
z <- read.zoo("myfile.csv", header = TRUE, sep = ",", format = "%m/%d/%Y")
Or rather than creating files you may wish to
On 14/12/2008 12:38 PM, doloop wrote:
Hello, I am relatively new to using R. I am using R version 2.8.0. I have a
program that downloads stock data from Yahoo! Finance and stores it to a
text file on my hard drive. The text file contains the date, opening price,
high price, low price, closing
Hello, I am relatively new to using R. I am using R version 2.8.0. I have a
program that downloads stock data from Yahoo! Finance and stores it to a
text file on my hard drive. The text file contains the date, opening price,
high price, low price, closing price, volume and adjusted price (i.e.,
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