[R] Reshaping Data in R - Transforming Two Columns Into One

PIKAL Petr petr.pikal at precheza.cz
Wed Mar 19 16:19:14 CET 2014


Hi

Isn't melt just what you want?

melt(mydt)

Petr


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Abraham Mathew
> Sent: Tuesday, March 18, 2014 1:59 AM
> To: r-help at r-project.org (r-help at r-project.org)
> Subject: [R] Reshaping Data in R - Transforming Two Columns Into One
>
> I have the following data frame. Using the stringr package, I've
> attempted
> to map the url's to some specific elements that are in each url. I then
> used the reshape package to join two different data frames. The next
> step
> is to transform the two columns in the mydt data frame (forester and
> customer_support) into one column which specified whether or not it
> contained that element or not (0 or 1).
>
>
> url =
> data.frame(u=c("http://www.subaru.com/vehicles/impreza/index.html",
>         "
> http://www.subaru.com/index.html?s_kwcid=subaru&k_clickid=214495e6-
> dbe0-6668-9222-00003d7cd876&prid=87&k_affcode=76602
> ",
>         "http://www.subaru.com/customer-support.html",
>         "http://www.subaru.com/",
>         "http://www.subaru.com/vehicles/forester/index.html"))
> url
>
> cs = c("customer-support")
> f = c("forester")
> one_match <- str_c(cs, collapse = "|")
> two_match <- str_c(f, collapse = "|")
> main <- function(df) {
>   df$customer_support <- as.numeric(str_detect(url$u, one_match))
>   df
> }
> d1 = main(url)
> d1
> main <- function(df) {
>   df$forester <- as.numeric(str_detect(url$u, two_match))
>   df
> }
> d2 = main(url)
> d2
> mydt = join(d1, d2)
> str(mydt)
> reshape(mydt, direction="long", idvar="u", varying=2:3, sep="")
> reshape(mydt, varying=2:3, direction ="long",  idvar = "u")
>
>
>
> I've messed around with the reshape package but I'm not able to figure
> it
> out. Is there an alternative package or function I can use to get the
> desired result.
>
>       [[alternative HTML version deleted]]
>
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> and provide commented, minimal, self-contained, reproducible code.

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