Data Analysis with R

This report aims to introduce the fundamental features of the free Jamovi software to academics in the field of educational measurement for use at undergraduate and graduate level research. As such, after introducing the R based interface and the integrated development environment, the core functions of Jamovi are pre…

• EREN CAN AYBEK
• MURAT DOĞAN ŞAHİN

Checking the normality assumption is necessary to decide whether a parametric or non-parametric test needs to be used. Different ways are suggested in literature to use for checking normality. Skewness and kurtosis values are one of them. However, there is no consensus which values indicated a normal distribution. The…

• FATİH ORÇAN

Although variation in effect sizes and predicted values among studies of similar phenomena is inevitable, such variation far exceeds what might be produced by sampling error alone. One possible explanation for variation among results is differences among researchers in the decisions they make regarding statistical ana…

• ALİ GÜNCAN

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• ABDELATY MOSTAFA ABDELATY HASSIBELNABY

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• GÖNENÇ YÜCEL
• MERT EDALI

Understanding the factors that affect Key Performance Indicators (KPIs) and how they affect them is frequently important in sectors where data and data science are crucial. Machine learning is utilized to model and predict pertinent KPIs in order to do this. Interpretability is important, nevertheless, in order to ful…

• SERAP ERGÜN

We introduce an R package PGEE that implements the penalized generalized estimating equations (GEE) procedure proposed by Wang et al. (2012) to analyze longitudinal data with a large number of covariates.The PGEE package includes three main functions: CVfit, PGEE, and MGEE.The CVfit function computes the cross-validat…

• GÜL İNAN

In today’s age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of develo…

• SİBEL KAZAK

Objective: Hypothesis testing, correlation, and regression analysis are statistical methods developed to be used in the statistical inference process which is the main purpose of all scientific studies. The purpose of this study is to develop a web-based application using the Shiny package in R software, which allows…

• AHMET KADİR ARSLAN
• CEMİL ÇOLAK
• ŞEYMA YAŞAR

Data Science is one of the newest interdisciplinary areas. It is transforming our lives unexpectedly fast. This transformation is also happening in our learning styles and practicing habits. We advocate an approach to data science training that uses several types of computational tools, including R, bash, awk, regular…

• FULYA GÖKALP YAVUZ

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• ULAŞ AKKÜÇÜK