Hi Folks, While I was browsing in the R-help archives yesterday, I got curious about the time series of the sizes of the monthly archives in MB. This turned out to have an unexpected feature or two, which I leave to readers to explore for themselves. I'm now wondering at what point in time we might expect to be receiving 1000MB/month (30+MB/day). It's not that far away, it seems, but there are a couple of interesting modelling questions behind it. In particular, I wonder by what mechanism the numbers grow, according to the law which the data seem to indicate. Over to you. (just my 0.001 MB worth ... excluding headers) Ted To save you the trouble, the following sets up the series: MB<-c(55,19,19,18,19,17,35,27,47, 55,32,50,55,41,49,50,28,53,42,81,54, 99,60,84,80,76,75,78,61,83,97,141,122, 96,144,173,153,226,202,131,165,183,175,168,187, 240,272,262,195,236,244,285,249,326,345,392,268, 455,320,418,453,468,422,447,400,323,516,478,327, 450,487,535,658,573,606,659,543,655,722,677,567, 519,703,886,793,719,816,812,730,698,831,969,736, 855) April 1997 -- January 2005 -------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk> Fax-to-email: +44 (0)870 094 0861 Date: 26-Feb-05 Time: 10:31:05 ------------------------------ XFMail ------------------------------
I think 1) You have the units wrong: these appear to be the figures quoted for KB of compressed files, and the compression is nothing like 1024:1. 2) This is not `a series' unless you add a time base, e.g. via a call to ts(). Surely subscribers are aware that they do not get many MB/day and that extrapolation to that level is just speculation. On Sat, 26 Feb 2005 Ted.Harding at nessie.mcc.ac.uk wrote:> Hi Folks, > > While I was browsing in the R-help archives yesterday, > I got curious about the time series of the sizes of > the monthly archives in MB. > > This turned out to have an unexpected feature or two, > which I leave to readers to explore for themselves. > > I'm now wondering at what point in time we might expect > to be receiving 1000MB/month (30+MB/day). It's not that > far away, it seems, but there are a couple of interesting > modelling questions behind it. > > In particular, I wonder by what mechanism the numbers > grow, according to the law which the data seem to indicate. > > Over to you. > > (just my 0.001 MB worth ... excluding headers) > > Ted > > To save you the trouble, the following sets up the series: > > MB<-c(55,19,19,18,19,17,35,27,47, > 55,32,50,55,41,49,50,28,53,42,81,54, > 99,60,84,80,76,75,78,61,83,97,141,122, > 96,144,173,153,226,202,131,165,183,175,168,187, > 240,272,262,195,236,244,285,249,326,345,392,268, > 455,320,418,453,468,422,447,400,323,516,478,327, > 450,487,535,658,573,606,659,543,655,722,677,567, > 519,703,886,793,719,816,812,730,698,831,969,736, > 855) > > April 1997 -- January 2005 > > -------------------------------------------------------------------- > E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk> > Fax-to-email: +44 (0)870 094 0861 > Date: 26-Feb-05 Time: 10:31:05 > ------------------------------ XFMail ------------------------------ > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html >-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
<Ted.Harding <at> nessie.mcc.ac.uk> writes: : : Hi Folks, : : While I was browsing in the R-help archives yesterday, : I got curious about the time series of the sizes of : the monthly archives in MB. : : This turned out to have an unexpected feature or two, : which I leave to readers to explore for themselves. : : I'm now wondering at what point in time we might expect : to be receiving 1000MB/month (30+MB/day). It's not that : far away, it seems, but there are a couple of interesting : modelling questions behind it. : : In particular, I wonder by what mechanism the numbers : grow, according to the law which the data seem to indicate. : : Over to you. : : (just my 0.001 MB worth ... excluding headers) : : Ted : : To save you the trouble, the following sets up the series: : : MB<-c(55,19,19,18,19,17,35,27,47, : 55,32,50,55,41,49,50,28,53,42,81,54, : 99,60,84,80,76,75,78,61,83,97,141,122, : 96,144,173,153,226,202,131,165,183,175,168,187, : 240,272,262,195,236,244,285,249,326,345,392,268, : 455,320,418,453,468,422,447,400,323,516,478,327, : 450,487,535,658,573,606,659,543,655,722,677,567, : 519,703,886,793,719,816,812,730,698,831,969,736, : 855) : : April 1997 -- January 2005 There were some discussions on this about a year ago: http://tolstoy.newcastle.edu.au/R/help/04/04/1071.html http://tolstoy.newcastle.edu.au/R/help/04/04/1095.html http://tolstoy.newcastle.edu.au/R/help/04/04/1109.html