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wesonga

Ronald Wesonga

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Statistical Path Analysis
Data exploration and modelling using path analytics
Generalized Variance
Generalized Variance Random Vectors Mat Ops of Covariance ...
wOrD cLoUd In R
1) Packages 2) R Coded 3) Autism Research Word Cloud
GenAI Resources
Resources to Implement Generative Artificial Intelligence Tools at the Sultan Qaboos University
S4443 Q1
ARM Quiz 4 Solution
Lab
Lab
Normal Distribution Exercise
Contextual Analysis of Academic Success for STAT Majors
Statistics is one of the major academic disciplines at the College of Science, Sultan Qaboos University. Academic success is achieved when a minimum grade is attained as determined in individual courses, otherwise a student will be under probation and ultimately may be discontinued. In this brainstorming session, we discuss contextual analysis by reviewing relevant theories to identify potential risk factors so as to derive appropriate recommendations for improved success of STAT majors.
Document
MC integration
Statistics and High Performance Computing
History Definition Sampling and Central Limit Theory
Generating Random Variables
Univariate Bivariate Multivariate
Exploratory Statistics and Regression Modelling
Computational Statistics Exploratory Statistics Regression Modelling
Review of RMarkdown, Vectors and Matrices
We Review RMarkdown, Vectors and Matrices With R
Multivariate Data Analytics
Introd. Data Org. Desc. Stat. Prsentation Graphics Distance
Enhanced Data Visualization in R Using ggplot2
In this hands-on seminar presentation, we will learn how to use the R ggplot2 package to produce graphics for statistical data analytics. The grammar of graphics will be introduced with examples. I will demonstrate how to use the elements of the grammar by creating customized graphics. We will generate, customize, save and export publication-ready statistical graphics.
GGplot2 Enhanced Data Visualization: A Demonstration based on NCD Data
In this hands-on seminar presentation, we will learn how to use the R ggplot2 package to produce graphics for statistical data analytics. The grammar of graphics will be introduced with examples. I will demonstrate how to use the elements of the grammar by creating customized graphics. We will generate, customize, save and export publication-ready statistical graphics.
Demystifying RStudio
Historical comprehension is a precursor to understanding language. Grammar, form and character are driven by planned algorithms and intended objectives. GUI and IDE are two important attributes of the RStudio for users and developers, respectively. I seek to assess both the past to understand the current designs and possibly predict the future RUsage.
My Notebook
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