Bibliometric analysis using RStudio and data collection using PERMATA UiTM Library / Norhidayah Ismail ... [et al.]

Ismail, Norhidayah and Azis, Saflina and Shuid, Siti Hawa and Saleh, Syaiful Hisyam (2025) Bibliometric analysis using RStudio and data collection using PERMATA UiTM Library / Norhidayah Ismail ... [et al.]. Buletin FPN S3, 9. pp. 14-17. ISSN 2805-4539

Abstract

RStudio is used to assist the researcher in collecting numerous data points for a particular topic. This article will help you learn how to use RStudio in analyzing bibliometric data. Get Started Before you start, the first thing you need to do is download the RStudio desktop application at the Posit website (www.posit.co). Under the tab ‘Open Source’, there will be a link for you to download the application. You may choose to get an open-source version of RStudio Desktop or a licensed version of RStudio Desktop Pro. Before installing the application, RStudio requires another driver to assist RStudio, which is R 3.6.0+. You will be directed to another webpage to download R 3.6.0+ (www.cran.rstudio.com). Choose a version of R that matches your computer’s operating system, whether Linux, macOS, or Windows, and follow the next instructions to download and install the R application for the first time. To install the application, you may run the R 3.6.0+ application and follow the default setting and click ‘Finish’ to complete the setup. After you have the setup for the R 3.6.0+ application, now you can download the RStudio application and install the application. Again, follow the default setting given by the application until the setup has finished.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ismail, Norhidayah
UNSPECIFIED
Azis, Saflina
UNSPECIFIED
Shuid, Siti Hawa
UNSPECIFIED
Saleh, Syaiful Hisyam
UNSPECIFIED
Subjects: H Social Sciences > HJ Public Finance > Public accounting. Auditing
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Journal or Publication Title: Buletin FPN S3
ISSN: 2805-4539
Volume: 9
Page Range: pp. 14-17
Keywords: Bibliometric, analysis, RStudio Desktop, PERMATA UiTM Library
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/117203
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