Using Anomalize package with TERR

[Sergio Silva 2]

Hello,

I've written a script that calls theAnomalize package to perform outlier detection on my data.

#Let's check for anomalies

 

oil_anomalies %

as.tibble() %>%

group_by(well_name) %>%

mutate(Last_Day = last(Days)) %>%

filter(Last_Day >= 366) %>%

time_decompose(Monthly_Prod, method = "twitter", frequency = "3 months", trend = "2 months", merge = TRUE) %>%

anomalize(remainder,method = "gesd", alpha = 0.25, max_anoms = 0.5) %>%

time_recompose() The input consists of 3 columns, one is the identifier while the second is Datetime object and third are the values represented by those dates.

Basically, I'm able to run this code succesfully in Rstudio. However, when transfering over to the TERR engine in Spotfire I keep getting the erro below.

TIBCO Enterprise Runtime for R returned an error (7)

The data function 'Ordered Data (Ordered Data )' could not be executed.

Error: Problem with `mutate()` input `nested.col`.

'stl' is not an exported object from 'namespace:stats'

Input `nested.col` is `purrr::map(.x = data, .f = .f, target = Monthly_Prod, ...)`.

eval(script, envir = .GlobalEnv)

eval(script, envir = .GlobalEnv)

withCallingHandlers({

ordered_data %>% as.tibble() %>% group_by(well_name) %>% mutate(Last_Day = last(Days)) %>% filter(Last_Day >= 366) %>% time_decompose(Monthly_Prod,

withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))

eval(quote(`_fseq`(`_lhs`)), env, env)

eval(quote(`_fseq`(`_lhs`)), env, env)

`_fseq`(`_lhs`)

freduce(value, `_function_list`)

function_list[](value)

time_decompose(., Monthly_Prod, method = "twitter", frequency = "3 months",

time_decompose.grouped_df(., Monthly_Prod, method = "twitter",

time_decompose(data = data, target = !(!dplyr::enquo(target)),

time_decompose.grouped_tbl_time(data = data, target = !(!dplyr::enquo(target)),

data %>% grouped_mapper(.f = time_decompos

Any ideas