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Expansion and evolution of the R programming language [PDF]
Languages change over time, driven by creation of new words and cultural pressure to optimize communication. Programming languages resemble written language but communicate primarily with computer hardware rather than a human audience.
Timothy L. Staples
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Data interpretation and visualization of COVID-19 cases using R programming [PDF]
Background: Data analysis and visualization are essential for exploring and communicating medical research findings, especially when working with COVID records.
Yagyanath Rimal +2 more
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Conducting Simulation Studies in the R Programming Environment [PDF]
Simulation studies allow researchers to answer specific questions about data analysis, statistical power, and best-practices for obtainingaccurate results in empirical research.
Kevin A. Hallgren
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DYNAMIC DECISION-MAKING FRAMEWORK FOR EVALUATING THE MARKET POTENTIAL AND SUCCESS OF INNOVATIVE STARTUPS ON THE BASIS OF A MARKETING RESEARCH APPROACH USING R [PDF]
Currently, the world is highly dependent on technological advancements and innovations (TAI) being the key driver of economic growth, competitiveness, and overall societal progress.
OLEKSII KOFANOV +3 more
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OUTPUT VISUALIZATION FROM RESULT OF DISCRETE EVENT SYSTEM SIMULATION WITH ‘simmer’ R PACKAGE
This study aims to describe the various capabilities of the simmer package on R, especially in running a discrete event simulation model of a circular system, then develop a DES simulation model building technique, which is effective and can represent ...
I Gusti Agung Anom Yudistira +2 more
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An Application of R on Analyzing Meta-Analysis for Research: Health Science Context
There is an ever-increasing number of publications using meta-analyses, but Thai academics and Thai researchers still have very little use of the R program for meta-analysis in the health sciences research context, including teaching the use of R in ...
Gamon Savatsomboon +4 more
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Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics ...
openaire +7 more sources
Using Team-Based Learning to Teach Data Science
Data science is collaborative and its students should learn teamwork and collaboration. Yet it can be a challenge to fit the teaching of such skills into the data science curriculum.
Eric A. Vance
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Empirical Study on Defects in R Programming Language and Core Packages [PDF]
The R programming language that provides a variety of statistical calculation functions is considered to be one of the programming languages most suitable for artificial intelligence.The correctness of the language implementation is a prerequisite for ...
WANG Zi-yuan, BU De-xin, LI Ling-ling, ZHANG Xia
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