Category: R

Steven Sanderson renames a file:

Managing files is an essential task for any programmer, and when working with R, the file.rename() function can become your best friend. In this blog post, we’ll explore the ins and outs of file.rename(), discuss its syntax, provide real-life examples, and share some best practices to empower you in your file management endeavors. So grab a cup of coffee and let’s dive into the world of file.rename()!

Click through for two examples. But do read the documentation if you’re running on Windows and dealing with symbolic links.

Steven Sanderson tries out a function:

In the world of data analysis, time-series data is a common sight. Whether it’s stock prices, weather patterns, or website traffic, understanding the relationship between variables over time is crucial. One valuable technique in this domain is calculating rolling correlation, which allows us to examine the evolving correlation between two variables as our data moves through time. In this blog post, we will delve into the rollapply function and its capabilities, exploring its applications through a series of practical examples. So, let’s get started!

Click through for an example of how it works.

Steven Sanderson makes a list and checks it twice (or n number of times with replacement):

Bootstrap resampling is a powerful technique used in statistics and data analysis to estimate the uncertainty of a statistic by repeatedly sampling from the original data. In R, we can easily implement a bootstrap function using the lapply, rep, and sample functions. In this blog post, we will explore how to write a bootstrap function in R and provide an example using the “mpg” column from the popular “mtcars” dataset.

Read on for the process.

Steven Sanderson gathers a sample:

Sampling is a fundamental technique in data analysis and statistical modeling. It allows us to draw meaningful insights and make inferences about a larger population based on a representative subset. In the world of R programming, the sample() function stands as a versatile tool that enables us to create random samples efficiently. In this post, we will explore the sample() function and its various applications through a series of plain English examples.

Click through for those examples.

Steven Sanderson shows off the ability to perform crosstabs in R:

As a programmer, you’re constantly faced with the task of organizing and analyzing data. One powerful tool in your R arsenal is the xtabs() function. In this blog post, we’ll explore the versatility and simplicity of xtabs() for aggregating data. We’ll use the mtcars dataset and the healthyR.data::healthyR_data dataset to illustrate its functionality. Get ready to dive into the world of data aggregation with xtabs()!

Click through for two examples of it creating a crosstab (or, in SSRS/Power BI terms, a matrix) from your data.

Steven Sanderson shows off a command:

As a programmer, you may come across various scenarios where you need to create complex model formulas in R. However, constructing these formulas can often be challenging and time-consuming. This is where the ‘reformulate()’ function comes to the rescue! In this blog post, we will explore the purpose and usage of the reformulate() function in R, and provide you with simple examples to help you grasp its power.

This is where I want to put on glasses so I can push the glasses up my nose and say “Well, ackshually, the examples here are pre-formulating instead of re-formulating…”

Silliness on my part aside, click through to see how the function works and how it can work to simplify your regression analyses.

Steven Sanderson shows off a built-in function:

In R, the file.info() function is a useful tool for retrieving file information, such as file attributes and metadata. It allows programmers to gather details about files, including their size, permissions, and timestamps. In this post, we will explore the file.info() function and demonstrate how it can be used to list files by date.

Read on for more information. This function is a lot more powerful than simply running ls or dir (without any flags) in a directory.