Following a question on X validated about the reasons for coding rexp() following Ahrens & Dieter (1972) version, I re-read Luc Devroye’s explanations. Which boils down to an optimised implementation of von Neumann’s Exponential generator. The central result is that, for any μ__0, M a Geometric variate with failure probability exp(... [Read more...]

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filtering data in r, In this tutorial describes how to filter or extract data frame rows based on certain criteria. In this tutorial, you... The post Filtering Data in R 10 Tips -tidyverse package appeared first on finnstats. [Read more...]

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I’m excited to announce that blocklength 0.1.4 is now available on CRAN! blocklength is designed to be used with block-bootstrap procedures and makes it quick and easy to select a block-length quantitatively. Install it with: install.packages("b... [Read more...]

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Time series cross-validation is handled in the fable package using the stretch_tsibble() function to generate the data folds. In this post I will give two examples of how to use it, one without covariates and one with covariates. Quarterly Austral... [Read more...]

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The main tool for tracking the action on a website is Google Analytics. But more and more websites switch to other tools such as Matomo or PIWIK PRO due to GDPR. My employer decided to switch to PIWIK PRO, too. So I was looking for a way to access the ... [Read more...]

IFRSassistant is being built to provide convenience to Finance and Accounting consultants and SMEs in finance industry. IFRS reporting, especially estimated loss calculation is a fairly complicated process involving Monte Carlo simulation, forecasting,... [Read more...]

IFRSassistant is being built to provide convenience to Finance and Accounting consultants and SMEs in finance industry. IFRS reporting, especially estimated loss calculation is a fairly complicated process involving Monte Carlo simulation, forecasting,... [Read more...]

The next talk of Grenoble’s R user group will be on May 25, 2021 at 5PM (FR) and is free and open to all: Building dashboards in R/shiny (and improve them with logs and user feedback) The main goal of this seminar is to demonstrate how R/Shiny app developers ... [Read more...]

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Data manipulation techniques refer to the process of adjusting or rearranging data to make it organized and easier to read. Data manipulation is a... The post Data Manipulation Techniques with dplyr appeared first on finnstats. [Read more...]