Troubleshooting in R is the process of identifying and fixing problems or errors in your code. There are several common types of problems that you may encounter, including syntax errors, runtime errors, and logical errors. Other issues include lagging or not responding R sessions. This tutorial features five RStudio help tips to deal with errors,
In this tutorial, you’ll learn how to add inferential statistics to a Power BI report. Specifically, you’ll learn how to perform a t-test using RStudio. A t-test allows you to statistically compare the mean between two groups and then conclude if there’s a significant difference between them. If you’re not familiar with statistics, it’s recommended
In this tutorial, you will learn how to edit data in R using the DataEditR package. You can watch the full video of this tutorial at the bottom of this blog. DataEditR is an R package that will let you build dashboards and reports in R using a GUI. Then, we will be able to
This tutorial will talk about the package called dplyr. It’s one of the tidyverse packages focused on data manipulation that allows you to sort, filter, add, and rename columns in R. These features are also available in Power Query, so they aren’t unique to the R program. However, R is better at handling them. It’s
In previous tutorials, you learned about objects, object classes, and vectors. For this tutorial, you’ll be learning about data frames in R. Data frames are essentially vectors combined together to form rows and columns of data. A column consists of one vector. So in the example above, the first column is a string column, followed
