CODEWITHSUNDEEP
rtime-serieslubridate
on_the_shores_of_linux_sea
on_the_shores_of_linux_sea

Reputation: 1022

R Split series into month

I have the below data with date and count. Please help in transforming this one row where months are columns. And rows are data of each year 

Date       count
=================  
2011-01-01 10578
2011-02-01  9330
2011-03-01 10686
2011-04-01 10260
2011-05-01 10032
2011-06-01  9762
2011-07-01 10308
2011-08-01  9966
2011-09-01 10146
2011-10-01 10218
2011-11-01  8826
2011-12-01  9504
to    
       JAN   FEB      MAR    APR   MAY  JUN   JUL  AUG  SEP    OCT NOV   DEC  
------------------------------------------------------------------------------
2011  10578   9330   10686 10260 10032 9762 10308 9966 10146 10218 8826 9504
2012 ....

Upvotes: 0

Views: 1170

Answers (2)

seancarmody
seancarmody

Reputation: 6290

If your data is in x try something like this:

library(reshape2)
res <- dcast(transform(x, month = format(Date, format="%m"),
                       year = format(Date, "%Y")),
             year ~ month, value.var="count")
rownames(res) <- res$year
res <- res[,-1]
names(res) <- toupper(month.abb[as.numeric(names(res))])
res

This assumes that x$Date is already a date. If not, you will need to first convert is to a date:

x$Date <- as.Date(x$Date)

Upvotes: 1

Jilber Urbina
Jilber Urbina

Reputation: 61214

This is a perfect task for ts in R base. Suppose your data.frame is xthen using ts will produce the output you want.

> ts(x$count, start=c(2011,01,01), end=c(2011,12,01), frequency=12)
       Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec
2011 10578  9330 10686 10260 10032  9762 10308  9966 10146 10218  8826  9504

Upvotes: 2

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