I'm getting an error when trying to use the time_decompose function on my data frame. The data frame has 3 columns - one is type POSIXct, one is type double and one is type chr:
Here is an example:
start_time
duration
job_name
2017-09-21 11:09:02
2
analyteQueryRangeJob
2016-03-04 09:09:03
0
analyteQueryRangeJob
2016-07-16 04:09:03
1
analyteQueryRangeJob
2016-12-19 21:09:03
1
analyteQueryRangeJob
2019-01-29 04:09:01
0
analyteQueryRangeJob
2017-07-14 09:09:03
0
analyteQueryRangeJob
when I call time_decompose(batchData, duration) I get this error:
Error in try.xts(x, error = "'x' needs to be timeBased or xtsible") : 'x' needs to be timeBased or xtsible
a little cryptic, but I gather that the xts function is complaining that whatever it is being passed is not the right data type. I checked that function and it supports POSIXct as a type, so anomalize must be passing it the wrong column or something.
I wasn't able to find anywhere any information about what format the data frame had to be in for the function to work. I found it odd that there was no way to tell the function which columns had the dates/times and which the labels.
I'm getting an error when trying to use the
time_decompose
function on my data frame. The data frame has 3 columns - one is type POSIXct, one is type double and one is type chr:when I call
time_decompose(batchData, duration)
I get this error:a little cryptic, but I gather that the
xts
function is complaining that whatever it is being passed is not the right data type. I checked that function and it supports POSIXct as a type, soanomalize
must be passing it the wrong column or something.I wasn't able to find anywhere any information about what format the data frame had to be in for the function to work. I found it odd that there was no way to tell the function which columns had the dates/times and which the labels.