[R] Rearranging Data

[Jia Ying Mei]

Hi everyone,

A few days back Jim helped with out, helping me find an automated way of 
determining the mean and median of intervals between price changes.

However, a new set of data I have is no longer in the same format. 
CDSmod is the file that was used with this code:

x <- read.csv('/cdsmod.csv', as.is=TRUE, check.names=FALSE)
x$Date <- as.Date(x$Date, "%m/%d/%Y")
require(zoo)
out <- lapply(x[-1], function(.cnty){  # iterate for each country
    # create a dataframe of the date and currency
    .df <- data.frame(date=x[[1]], cur=.cnty)
    .df <- .df[order(.df$date),]   # sort in date order
    .df$cur <- na.locf(.df$cur, na.rm=FALSE)  # carry forward missing values
    .df <- .df[complete.cases(.df),]  # delete NAs at the beginning
    # mark the breaks
    .df$grp <- cumsum(c(TRUE, head(.df$cur, -1) != tail(.df$cur, -1)))
    # now split out each group and calculate its length
    # if it is not the last group, then the end of the span if one day earlier
    # than the next entry.  Working with the indices (row numbers)
into the dataframe
    # to make this easier
    .len <- sapply(split(seq(nrow(.df)), .df$grp), function(.indx){

        if (tail(.indx, 1) != nrow(.df)){   # not the last split
            # subtract 1 day from start of next range
            .df$date[tail(.indx, 1) + 1] - 1 - .df$date[.indx[1]]
        }
        else {
            .df$date[tail(.indx, 1)] - .df$date[.indx[1]]
        }
    })
})
# output the mean and median
t(sapply(out, function(.cntry) c(number=length(.cntry),
mean=mean(.cntry), median=median(.cntry))))

I wanted to know if there is a way to rearrange data from IKEALASTmod so 
that we can use something like the code above. The new problem is that 
instead of date and country only, there is now date, country and 
product. So is it possible to rearrange my data to have the output from 
above be by country and price.

Hope I was clear, thanks for any help you can offer!

Jia Ying Mei
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