FlightR calibration error

[egow]

I'm working on calibrating some data in FlightR but I keep getting an error with the "make.calibration" object and am not sure how to fix it? 

 

The error is:

 

Error in Twilight.time.mat.Calib.dawn[-25, ] : 

  incorrect number of dimensions

 

 

Here is my code: 

 

start

end

 

Proc.data

 

Calibration.periods

                                calibration.stop=as.POSIXct(c("2016-05-29", NA), tz="GMT"),

                                lon=-148.80441, lat=63.6520)

 

print(Calibration.periods)

 

# create a calibration object 

 

Calibration

 

 

[L Halpin]

Try removing "NA" as follows

 

 

 

Calibration.periods

                                calibration.stop = as.POSIXct(c("2016-05-29"), tz="GMT"),

                                lon=-148.80441, lat=63.6520)

 

 

But your dates look wrong. Are you sure you want to add a year's worth of calibration data?

[Guest]

Can you let me know how you solved this error?

 

I'm getting the same thing while trying to calibrate my data:

 

Calibration.periods

                                calibration.stop=as.POSIXct("2014-07-11"),

                                lon=-64.3431, lat=45.8980) #works fine

 

calibration.parameters

                                                   model.ageing=F, log.light.borders=log(c(2, 63)), 

                                                   log.irrad.borders=c(-1000, 1000)) #receive error: Error in Twilight.time.mat.Calib.dawn[-25, ] : 

  incorrect number of dimensions

 

 

My data is as follows (I used GeoLight2TAGS to get after defining sunrise/sunsets):

head(TAGSbank066)

                  datetime light twilight interp excluded

1 2013-07-05T12:37:59.000Z    64        0  FALSE    FALSE

2 2013-07-05T12:39:59.000Z    64        0  FALSE    FALSE

3 2013-07-05T12:41:59.000Z     3        0  FALSE    FALSE

4 2013-07-05T12:43:59.000Z     3        0  FALSE    FALSE

5 2013-07-05T12:45:59.000Z     5        0  FALSE    FALSE

6 2013-07-05T12:47:59.000Z     7        0  FALSE    FALSE