Popular R Packages

To install R packes you would use the following function:

1. To Load Data into R:

  • readr:
    • Purpose: Efficient reading of flat files (CSV, TSV) into R.
  • haven:
    • Purpose: Import and export SPSS, Stata, and SAS files.
  • readxl:
    • Purpose: Reading Excel files into R.
  • jsonlite:
    • Purpose: Working with JSON data, converting JSON to data frames.

2. To Manipulate Data in R:

  • dplyr:
    • Purpose: Data manipulation and transformation, including filtering, grouping, summarizing, and joining.
  • tidyr:
    • Purpose: Data tidying, reshaping, and cleaning.
  • stringr:
    • Purpose: String manipulation for working with text data.
  • reshape2:
    • Purpose: Reshaping data between wide and long formats.
  • lubridate:
    • Purpose: Handling and manipulating date and time data.

3. To Visualize Data in R:

  • ggplot2:
    • Purpose: Grammar of graphics-based plotting for creating customized and complex plots.
  • plotly:
    • Purpose: Creating interactive plots and dashboards.
  • ggvis:
    • Purpose: Interactive grammar of graphics for dynamic visualizations.
  • RColorBrewer:
    • Purpose: Access to color palettes for creating visually appealing plots.

4. To Report Results from R:

  • rmarkdown:
    • Purpose: Creating dynamic and reproducible reports and presentations.
  • knitr:
    • Purpose: General-purpose dynamic report generation using R.
  • shiny:
    • Purpose: Building interactive web applications directly from R.

5. Machine Learning and Modeling:

  • caret:
    • Purpose: Unified interface for machine learning tasks, including preprocessing, model tuning, and evaluation.
  • caretEnsemble:
    • Purpose: Building ensembles of models for improved predictive performance.
  • ROCR:
    • Purpose: Performance measurement and visualization for predictive modeling.

6. Working with APIs:

  • httr:
    • Purpose: Making HTTP requests, useful for interacting with APIs.
  • jsonlite:
    • Purpose: Handling JSON data, parsing JSON responses from APIs.
  • httr:
    • Purpose: Interacting with web APIs, handling authentication, and managing HTTP requests.

7. Additional Categories:

Web Scraping:

  • rvest:
    • Purpose: Extracting information from web pages.

Text Mining:

  • tm:
    • Purpose: Tools for text preprocessing, creating document-term matrices, and text mining.

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