Hello. I have a dataframe that has a date column. The intervals between
dates vary. I want to convert this to a ts object. I was able to convert it
to an xts object but the package I want to analyse this data with (called
'changepoint') does not seem to want to deal with xts. In the example they
give they use the following:

data(discoveries)
dis.pelt=cpt.meanvar(discoveries,test.stat='Poisson',method='PELT')
plot(dis.pelt,cpt.width=3)
cpts.ts(dis.pelt)

and if I check:
str(discoveries)
 Time-Series [1:100] from 1860 to 1959: 5 3 0 2 0 3 2 3 6 1 ...

If I try with my data
str(testTSRad)
An 'xts' object on 2011-07-16 07:08:02/2013-09-20 01:25:48 containing:
  Data: num [1:501, 1] 76 77 79 86 79 79 85 86 89 88 ...
  Indexed by objects of class: [POSIXct,POSIXt] TZ:
  xts Attributes:
 NULL

where I used this:

testTSRad=xts(radSampPerRegion[[2]][
,2],order.by=as.POSIXct(radSampPerRegion[[2]][
,1]))

I get this:

testt=cpt.mean(testTSRad)
Error in single.mean.norm(data, penalty, pen.value, class, param.estimates)
:
  Data must have atleast 2 observations to fit a changepoint model.

My data is below. Is there a way to convert it to ts?

head(testTSRad)
                    [,1]
2011-07-16 07:08:02   76
2011-07-16 07:08:06   77
2011-07-16 07:08:12   79
2011-07-16 07:08:16   86
2011-07-16 07:08:22   79
2011-07-16 07:08:26   79

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