Hi, I could not open the file.

Can you load the data into R and then use the dput function?

The first link deals with dput. The latter 2 links are for dealing with
NAs in data.

http://www.inside-r.org/r-doc/base/dput
dput {base}

http://r.789695.n4.nabble.com/subset-without-removing-NAs-td3482011.html
R help - subset without removing NAs

http://stackoverflow.com/questions/2613420/handling-missing-incomplete-d
ata-in-r-is-there-function-to-mask-but-not-remove
Handling missing/incomplete data in R--is there function to mask but not
remove NAs? - Stack Overflow

Thank you.

Irucka



<-----Original Message-----> 
>From: elvina [via R] [ml-node+s789695n4665877h63@n4.nabble.com]
>Sent: 4/30/2013 6:55:52 PM
>To: iruckaE@mail2world.com
>Subject: Re: log returns, error
>
>Thank you for an advice! I read the answers, but I am still confused
about how to present files.... 
>The link is the data I use - stock price. Some of the numbers are NA,
so it says log is not meaningful for 
>factors. How can I make him not to count them? 
>http://www.file-upload.net/download-7537530/daily.csv.html
>
>############################ 
>data <- read.csv("daily.csv", sep=",") 
>data 
>#Step 1: Daily Log Returns 
>daily_ret <- NULL 
>for (i in c(2:ncol(data))){ 
> subsample <- data[ ,i] 
> daily_ret_subsample <- diff(log(subsample)) 
> daily_ret <- cbind(daily_ret, daily_ret_subsample) 
>} 
>daily_ret <- cbind(tail(x=data[ ,1], n=nrow(daily_ret)), daily_ret) 
>colnames(daily_ret) <- colnames(data) 
>daily_ret <- as.data.frame(daily_ret) 
>daily_ret 
> #################################### 
>
>
>
>
>If you reply to this email, your message will be added to the
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>To unsubscribe from log returns, error, click here.
>NAML 


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