Publications by Lumumba W.Victor
Design of Experiments
DESIGNS OF EXPERIMENTS Load the following library for the Design of Experiment library(doebioresearch) ## Warning: package 'doebioresearch' was built under R version 4.3.1 Completely Randomized Design data1<-data.frame(Treatments=c("T1","T2","T3","T4","T5","T6","T7","T1","T2","T3", "T4","T5","T6","T7","T1","T2","T3...
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Variables Selection Using olsrr Library
Variable Selection Variable selection procedures in R using ‘olsrr’ package. Watch the video by Mike Crowson, Ph.D. January 14, 2020, to complement what is covered in this tutorial January 14, 2020 File data Download .RData file here: https://drive.google.com/open?id=1_cRuM2-4dNhNxVPzgj8ddlpcrV-TAUZ2 Data are contained in a data frame named...
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Grouped Summary Statistics
Import the data DT <- read.csv("cema_internship_task_2023.csv") head(DT,5) period county Total.Dewormed Acute.Malnutrition 1 Jan-23 Baringo County 3659 8 2 Jan-23 Bomet County 1580 NA 3 Jan-23 Bungoma County 6590 24 4 Jan-...
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Factorial Experimental Design
Factorial Experimental Design Definition Factorial Completely Randomized Design is an experimental design in which the treatment is formed by a combination of the levels of several factors. Factorial treatment structures are useful for examining the effects of two or more factors on a response y, whether or not interaction exists. The treatmen...
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Application of Machine Learning in Regression Analysis
Introduction A classical and commonly used statistical method, linear regression builds predictive models by estimating the strength of the relationship between our predictor variables and our outcome variable. Linear regression is so named because it assumes the relationships between the predictor variables with the outcome variable are linear...
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Basic to Advanced Data Analytics in R-Studio
Set up work directory MATRIX Matrix Creation [,1] [,2] [,3] [1,] 5 8 4 [2,] 6 9 5 [3,] 2 2 1 Getting the determinant of a matrix [1] 3 Inverse [,1] [,2] [,3] [1,] -0.3333333 0 1.3333333 [2,] 1.3333333 -1 -0.3333333 [3,] -2.0000000 2 -1.0000000 Identity Matrix Matrix Operation V...
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R tutorial on Linear Regression Model
Setting Up R-Markdwon Setting up RMarkdown when opening it enables you to create dynamic, reproducible, and visually appealing reports, presentations, and documents, that can help you communicate your data analysis and research findings more effectively. Introduction Linear regression models (also known as “Ordinary Least Squares” model) a...
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STATISTICS ASSIGNMENT
Set up Rstudio Setting up RMarkdown when opening it enables you to create dynamic, reproducible, and visually appealing reports, presentations, and documents, that can help you communicate your data analysis and research findings more effectively. Prospectus Social confidence in government plays a pivotal role in shaping the political landscap...
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RESPONSE SURFACE METHODOLOGY AND CENTRAL COMPOSITE DESIGN
Set up Rstudio Setting up RMarkdown when opening it enables you to create dynamic, reproducible, and visually appealing reports, presentations, and documents, that can help you communicate your data analysis and research findings more effectively. PART ONE Application of Response Surface Methodology and Central Composite Design to Optimize Ma...
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Publish Document
Set up Rstudio Setting up RMarkdown when opening it enables you to create dynamic, reproducible, and visually appealing reports, presentations, and documents, that can help you communicate your data analysis and research findings more effectively. Abstract The primary purpose of technological advancement is to help firms and organizations arri...
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