Data Analysis with R

Assessing the assumption of multivariate normality is required by many parametric multivariate statistical methods, such as MANOVA, linear discriminant analysis, principal component analysis, canonical correlation, etc.It is important to assess multivariate normality in order to proceed with such statistical methods.T…

• GÖKMEN ZARARSIZ

Assessing the assumption of multivariate normality is required by many parametric multivariate statistical methods, such as MANOVA, linear discriminant analysis, principal component analysis, canonical correlation, etc.It is important to assess multivariate normality in order to proceed with such statistical methods.T…

• SELÇUK KORKMAZ

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

ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.There are a number of analysis tools which are used to guide researchers through their an…

• GÖKMEN ZARARSIZ

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

One-way tests in independent groups designs are the most commonly utilized statistical methods with applications on the experiments in medical sciences, pharmaceutical research, agriculture, biology, engineering, social sciences and so on. In this paper, we present the one-way tests package to investigate treatment ef…

• NAİME MERİÇ KONAR EROL
• OSMAN DAĞ

With the advent of novel visualization techniques to convey complex information, data visualization literacy is growing in importance. Two facets of literacy are user understanding and the discovery of visual patterns with the help of graphical representations. The research literature on visualization literacy provide…

• ELİF EMEL FIRAT

In this article, I introduce a command (bcgcausality) to implement Breitung and Candelon's (2006, Journal of Econometrics, 132: 363–378) Granger causality test in the frequency domain.

• HÜSEYİN TAŞTAN

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

Group Method of Data Handling (GMDH)-type neural network algorithms are the heuristic self organization method for the modelling of complex systems.GMDH algorithms are utilized for a variety of purposes, examples include identification of physical laws, the extrapolation of physical fields, pattern recognition, cluste…

• OSMAN DAĞ

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• GÖNENÇ YÜCEL
• MERT EDALI