On 11/17/2016 06:00 AM,

[hidden email] wrote:

> Hi,

>

> As I sit and learn how to work with time series, I've run into a problem

> that is eluding a quick easy answer (and googling for answers seems to

> really slow the process...)

>

> Question #1--

> In a simple example on R 3.3.1 (sorry my employer hasn't upgraded to 3.3.2

> yet):

>

> x=rnorm(26,0,1)

> x.ts<-ts(x,start=c(2014,9),frequency=12)

>

> inputting x.ts at the prompt gives me a table with the rooms denoted by

> year and columns denoted by months and everything lines up wonderfully.

>

> Now my problem comes when I type at the prompt

>

> plot(x.ts) or

> plot(x.ts, xlab="") or

> plot.ts(x.ts,xlab="")

>

> I get a plot of the values, but my x-axis labels are 2015.0, 2015.5,

> 2016.0, and 2016.5 . January 2015 is coming out as 2015.0...

>

> Is there a way of getting a more intelligible x-axis labeling? Even 2015.1

> for Janaury, etc. would work, or even getting an index (either Septemebr

> 2014 representing 0 or 1 and it incrementally increasing each month).

There are several ways to do this. Having some bias, I would do

require(tfplot)

tfplot(x.ts)

>

> Question #2--

> If I have a time series of decadal events, how best should I set the

> frequency. It is historical data, in the form of say AD 610-619 5 events,

> AD 620-629 7 events, etc.

For anything other than annual, quarterly, and monthly data you probably

should consider zoo. (There are other options, but I think zoo is the

most widely used for some time now.) Guessing a bit how you think of

this data, I would say you want the date index to be the first year of

the decade. To illustrate, I can generate a hundred decades of random

data and index it thus:

require(zoo)

x <- zoo(round(10 * runif(100)) , order.by= 10 * 61:160)

Paul

>

> Sorry for such a basic questions. Any advice would be appreciated.

>

> Thanks in advance, MEH

>

>

>

> Mark E. Hall, PhD

> Assistant Field Manager

> Black Rock Field Office

> Winnemucca District Office

> 775-623-1529.

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