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Day: October 11, 2024

Smoothing Functions in R

Published 2024-10-11 by Kevin Feasel

Ivan Svetunkov puts on the forecasting hat:

I have been asked recently by a colleague of mine how to extract the variance from a model estimated using adam() function from the smooth package in R. The problem was that that person started reading the source code of the forecast.adam() and got lost between the lines (this happens to me as well sometimes). Well, there is an easier solution, and in this post I want to summarise several methods that I have implemented in the smooth package for forecasting functions. In this post I will focus on the adam() function, although all of them work for es() and msarima() as well, and some of them work for other functions (at least as for now, for smooth v4.1.0). Also, some of them are mentioned in the Cheat sheet for adam() function of my monograph (available online).

Read on to learn more. H/T R-Bloggers.

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Combining Data Frames with Differing Columns in R

Published 2024-10-11 by Kevin Feasel

Steven Sanderson does a bit of merging:

Combining data frames is a fundamental task in data analysis, especially when dealing with datasets that have different structures. In R, there are several ways to achieve this, using base R functions, the dplyr package, and the data.table package. This guide will walk you through each method, providing examples and explanations suitable for beginner R programmers. This article will explore three primary methods in R: base R functions, dplyr, and data.table. Each method has its advantages, and understanding them will enhance your data manipulation skills.

There are quite a few examples here, depending on whether you intend to join the datasets or perform a set operation such as union or intersect.

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Parameterized Queries with dbatools

Published 2024-10-11 by Kevin Feasel

Thom Andrews builds a query:

Many of us are likely aware of PowerShell, even if we don’t use it too frequently, and I suspect that if you’re reading this post you’re also familar with things like sqlcmd. Hopefully, you have also heard of DbaTools, a module for PowerShell (and if you haven’t, hopefully that’s why you’re here). Today, I wanted to discuss running parametrised queries (including table type parameters) from PowerShell, which is notorious hard/impossible with sqlcmd (or invoke-SqlCmd), using the DbaTools module.

Click through for examples building up from zero parameters up to a table of parameters.

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