Hello, Writing to seek help in regard to some unexpected performance anomaly i am observing in using tsoutlers:tso on the mac vs on an AWS cloud server..
I am running the following code with very small dataset of about 208 records. d.dir <- '/Users/darshanpandya/xxxxxx' FNAME <- 'my_data.csv' d.input <- fread(file.path(paste0(d.dir,"/zzz/"),FNAME,fsep = .Platform$file.sep), header = TRUE, stringsAsFactors = FALSE, showProgress = TRUE) %>% as.data.frame d.input$dummy_date <- as.Date(d.input$dummy_date, "%Y-%m-%d") selectedCols <- c("observation","dummy_date") inputData <- d.input[,selectedCols] outlier.types <- list("Additive Outliers","Levels Shifts","Seasonal Level Shifts","Innovation Outlier","Temporary Change") tsFrequency <- 52 params <- list("outlier.types" = outlier.types,"tsFrequency" = tsFrequency) tsFrequency = params$tsFrequency outTypes <- unlist(params$outlier.types) ts.var <- ts(inputData[,1], frequency = tsFrequency) ts_outlier <- tso(ts.var, types = outlier.types , maxit = 1) This piece of code runs in about 60 seconds on my laptop but take about upward of 13 mins on a decent AWS node with nothing else running on it. Any hints as to why this is happening is greatly appreciated. Thank you for your help. -- Sincerely, Darshan [[alternative HTML version deleted]] ______________________________________________ Remail@example.com mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.