A Statistician’s R Notebook

Unlocking CBRT Data in R: A Guide to the CBRT R Package

The Central Bank of the Republic of Turkey (CBRT) provides a wealth of economic data crucial for researchers, analysts, and policymakers. Through the Electronic Data…

M. Fatih Tüzen

Extracting Data from OECD Databases in R: Using the oecd and rsdmx Packages

The OECD (Organisation for Economic Co-operation and Development) provides extensive databases for economic, social, and environmental indicators. Accessing these…

M. Fatih Tüzen

Creating Professional Excel Reports with R: A Comprehensive Guide to openxlsx Package

Report Automation

The ability to generate professional Excel reports programmatically is a crucial skill in data analysis and business reporting. In this comprehensive guide, we’ll explore…

M. Fatih Tüzen

Mastering Date and Time Data in R with lubridate

time manipulation

lubridate is a powerful and widely-used package in the tidyverse ecosystem, specifically designed for making date-time manipulation in R both easier and more intuitive. It…

M. Fatih Tüzen

Mastering Data Transformation in R with pivot_longer and pivot_wider

data transformation

Data analysis requires a deep understanding of how to structure data effectively. Often, datasets are not in the format most suitable for analysis or visualization. That’s…

M. Fatih Tüzen

Text Data Analysis in R: Understanding grep, grepl, sub and gsub

In text data analysis, being able to search for patterns, validate their existence, and perform substitutions is crucial. R provides powerful base functions like grep, grepl, …

M. Fatih Tüzen

Exploring apply, sapply, lapply, and map Functions in R

In R programming, Apply functions (apply(), sapply(), lapply()) and the map() function from the purrr package are powerful tools for data manipulation and analysis. In this…

M. Fatih Tüzen

R Function Writing 101:A Journey Through Syntax, Best Practices, and More

R is a powerful and versatile programming language widely used in data analysis, statistics, and visualization. One of the key features that make R so flexible is its…

M. Fatih Tüzen

Cracking the Code of Categorical Data: A Guide to Factors in R

categorical data

R programming is a versatile language known for its powerful statistical and data manipulation capabilities. One often-overlooked feature that plays a crucial role in…

M. Fatih Tüzen

Unraveling DataFrames in R: A Comprehensive Guide

In R, a data frame is a fundamental data structure used for storing data in a tabular format, similar to a spreadsheet or a database table. It’s a collection of vectors of…

M. Fatih Tüzen

Understanding Lists in R Programming

R, a powerful statistical programming language, offers various data structures, and among them, lists stand out for their versatility and flexibility. Lists are collections…

M. Fatih Tüzen

Understanding Matrices in R Programming

Matrices are an essential data structure in R programming that allows for the manipulation and analysis of data in a two-dimensional format. Understanding their creation…

M. Fatih Tüzen

Exploring Vectors in R Programming: The Fundamental Building Blocks

In the realm of R programming, vectors serve as the fundamental building blocks that underpin virtually every data analysis and manipulation task. Much like atoms are the…

M. Fatih Tüzen

Understanding Data Types in R

Learning R programming is akin to constructing a sturdy building. You need a powerful foundation to support the structure. Just as a building’s foundation dictates its…

M. Fatih Tüzen

A Gentle Introduction to R Programming

Hello everyone! For my first post on my blog, I would like to make an introduction about R. Before we start coding with R, it’s not a bad idea to know a little about this…

M. Fatih Tüzen