using anomalydetection for a time series data package but there is an error i am getting

[sarojhange]

PFB the dataset: weekly data for a metrics. Want to detect anomalies in this time series. The error I get is : Error in if (data_sigma == 0) break :
missing value where TRUE/FALSE needed
1 2013-01-01 59.94
2 2013-01-08 59.65
3 2013-01-15 61.56
4 2013-01-22 58.37
5 2013-01-29 58.07
6 2013-02-05 57.31
7 2013-02-12 58.53
8 2013-02-19 63.22
9 2013-02-26 60.21
10 2013-03-05 59.09
11 2013-03-12 57.19
12 2013-03-19 55.97
13 2013-03-26 59.96

[brightbird]

I got the same errors too.
Have you solved the problem yet? @sarojhange

The error is

anomous_points<-AnomalyDetectionTs(table1,max_anoms=0.1,

•                    direction = "pos",alpha = 0.05,
  

•                    threshold = "None",
  

•                    e_value = FALSE,
  

•                    piecewise_median_period_weeks = 4,
  

•                    longterm = TRUE,plot=TRUE,verbose = TRUE)
  

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  Error in if (data_sigma == 0) break :
  missing value where TRUE/FALSE needed

The structure of my data:

str(table1)
'data.frame': 169921 obs. of 2 variables:
$ time : POSIXlt, format: ...
$ traffic.out: num 8.78e+08 8.87e+08 8.77e+08 8.67e+08 8.57e+08 ...

The head six raws of my data:
head(table1)
time traffic.out
1 2015-04-01 00:00:00 878347968
2 2015-04-01 00:01:00 887359296
3 2015-04-01 00:02:00 877318720
4 2015-04-01 00:03:00 867278144
5 2015-04-01 00:04:00 857237568
6 2015-04-01 00:05:00 847196992

I looked into the function detect_anoms(),in line 89,there's comment about variable 'data_sigma':
'# protect against constant time series',