Error: "data must be a single data frame, list, or vector that holds numeric values" When data is a dataframe in correct format...
Hey everyone.
I am trying to run my dataframe through the AnomalyDetectorVec(). My dataframe is a small one, for now, and I believe it is in the correct format.
Here is the dataframe:
> str(es_out)
'data.frame': 500 obs. of 2 variables:
$ timestamp_list: POSIXct, format: "2015-07-23 04:10:56" "2015-07-23 04:10:51" "2015-07-23 04:11:11" ...
$ in_bytes_list : int 3893 3893 2335 2319 3893 125 71 71 52 657 ...
When I try to run it through AnomalyDetectorVec(), I get an error:
> AnomalyDetectionVec(es_out, period=500, plot=TRUE, verbose=TRUE)
Error in AnomalyDetectionVec(es_out, period = 500, plot = TRUE, verbose = TRUE) :
data must be a single data frame, list, or vector that holds numeric values.
What is going wrong here? I cannot seem to figure it out...
Here is a dput() of my dataset and my dataframe conversion funciton in a pastebin, for cleanliness.
Dataset dput(): http://pastebin.com/WkY7pvwt Dataframe conversion function: http://pastebin.com/EsAcVNbV
Any help would be greatly appreciated. As far as I can tell, my dataframe is in the correct format, but I guess it actually isn't.
Thanks!
@deusofnull You need to have a single column data frame, list, or vector as the input argument x in order to use AnomalyDetectorVec(). Instead, you can use AnomalyDetectionTs(). Please take a look at the help files for detailed usage of these functions.
Thanks @terrytangyuan , I am new to R and didnt realize the [,2] syntax for column selection...
Could anyone close this?