how about:
c2009 <- cast(m2009, Category + SubCategory +DayOfYear ~ variable , sum)
?
p.s: toy data would be nice to have :)
On Wed, Mar 11, 2009 at 9:47 PM, <rkevinbur...@charter.net> wrote:
> This hopefully is trivial. I am trying to reshape the data using the
> reshape package.
>
> First I read in the data:
>
> a2009 <- read.csv("Total2009.dat", header = TRUE)
>
> Then I trim it so that it only contains the columns that I have interested
> in:
>
> m2009 <- melt(a2009, id.var=c("DayOfYear","Category","SubCategory","Sku"),
> measure.var=c("Quantity"), na.rm=TRUE)
>
> Then I start to formulate the data that I will process:
>
> c2009 <- cast(m2009, DayOfYear ~ variable | Category, sum)
>
> Finally I aggregate the data:
>
> t2009 <- cast(m2009, DayOfYear ~ variable, sum)
>
> My question is on the third step above (repeated here)
>
> c2009 <- cast(m2009, DayOfYear ~ variable | Category, sum)
>
> This gets the data assocated with a unique 'Category' name. I want to get
> the data grouped by 'Category' and 'SubCategory'. The 'SubCategory' is not
> unique but the combination 'Category' and 'SubCategory' form a unique pair.
> What would be the formula that would give me the data grouped by Category
> AND SubCategory? Would it be as simple as:
>
> c2009 <- cast(m2009, DayOfYear ~ variable | Category & SubCategory, sum)
>
> ?
>
> Thank you for your suggestions.
>
> Kevin
>
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