In R Programming Language readr is a powerful R package designed for reading and writing rectangular data, such as CSV files, with speed and efficiency. Anaconda, a comprehensive distribution for data science and machine learning, provides an easy way to manage R environments. This article provides a step-by-step guide to installing readr in Anaconda.

Step 1: Install Anaconda

• Go to the Anaconda Distribution page and download the installer for your operating system (Windows, macOS, or Linux).
• Run the downloaded installer and follow the on-screen instructions to complete the installation.

Install readr in Anaconda

Step 2: Open Anaconda Navigator

• Launch Anaconda Navigator from the Start menu (Windows) or the Applications folder (macOS).
• In Anaconda Navigator, find and select the “Environments” tab.
• Press the “Create” button.
• Enter a name for the new environment (for example, r_env) and choose “R” as the package type.
• Click “Create” to establish the new environment.

Install readr in Anaconda

Step 3: Install R Essentials

• Go to the “Environments” tab and select the environment created (e.g., r_env).
• Choose the “Not installed” filter to see packages that haven’t been added yet.
• Look for r-essentials in the search bar.
• Mark the checkbox next to r-essentials and click “Apply”.
• Anaconda will install R along with a set of essential packages, including readr.

Install readr in Anaconda

Step 4: Install readr

• In Anaconda Navigator, select your environment and click on the “Play” button, then choose “Open Terminal”.
• In the terminal, run the following command to install readr –

conda install -c r r-readr

Install readr in Anaconda

Step 5: Verify Installation

In the terminal, type R and press Enter to start the R console.

In the R console, run

library(readr)

Step 5: Start using reader

To test the functionality of readr, create a sample CSV file named test.csv with the following content -reader

Dataset link: iris

library(readr)
file_path <- "C:/Users/Tonmoy/Downloads/Dataset/iris.csv"
iris_data <- read_csv(file_path)
print(iris_data)

Output:

Install readr in Anaconda

Conclusion

Installing `readr` in Anaconda is easy and takes just a few steps. Follow these steps to install and use `readr` for data handling in R within Anaconda. Setting up separate environments for different projects helps keep things organized and avoids package conflicts.