Publications by Lumumba W.Victor
Evaluating Job Categories and Education Qualifications
Setting 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. knitr::opts_chunk$set(echo = TRUE, warning=FALSE,comment = NA, message=FALSE, ...
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Exploratory Data Analysis
Introduction Data analysis is an art. This sample aims to illustrate how to use R to perform exploratory analysis the given problems. Only brief discussion will be included as an illustration. Descriptive statistics First, we have to load the libraries. library(dplyr) library(ggplot2) library(psych) library(corrplot) library(VIM) library(gr...
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Publishable Tables (T-test, ANOVA, and Regression)
knitr::opts_chunk$set(echo = TRUE, warning=FALSE,comment = NA, message=FALSE, fig.height=4, fig.width=6) Perform the following Use the data on price pass through in meat to estimate a regression of price change at retail on price change at the farm gate. Report a regression table from R. Interpret the coefficient on price ...
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INVESTIGATING FACTORS RESPONSIBLE FOR CREDIT UPTAKE (Exploratory Data Analysis)
Set up Rstudio knitr::opts_chunk$set(echo = TRUE, warning=FALSE,comment = NA, message=FALSE, fig.height=4, fig.width=6) Data Importation german.marketing.data <- read.csv("C:\\Users\\user\\Downloads\\german_credit__data.csv") Load the following library library(plyr) count(german.marketing.data) Delete the missing observat...
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Hypothesis Testing: Proportion
The lab must be uploaded on BrightSpace in pdf format The work must contain R codes, R outputs and interpretations Deadline for submission of work: Tuesday, February 28 at 11:59 p.m. Goals : Descriptive analysis of a categorical variable Frequency table and diagrams Confidence interval for a response variable Hypothesis test on the proportion π...
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FUNDAMENTAL INTRODUCTORY TO DATA ANALYSIS IN RSTUDIO
INTRODUCTION In terms of selecting a statistical test, the most important question is “what is the main study hypothesis?” In some cases there is no hypothesis; the investigator just wants to “see what is there”. For example, in a prevalence study there is no hypothesis to test, and the size of the study is determined by how accuratel...
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Data visualization (Scatter plot) using ggplot2
SETTING UP MY ENVIRONMENT FOR DATA VISUALIZATION Here we activate all the packages necessary for data visualization in Rstudion using ggplot2 library(palmerpenguins) library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.1 -- ## v ggplot2 3.3.5 v purrr 0.3.4 ## v tibble 3.1.6 v dplyr 1.0.7...
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DATA VISUALIZATION
SETTING UP MY ENVIRONMENT FOR DATA VISUALIZATION Here we activate all the packages necessary for data visualization in Rstudion using ggplot2 library(palmerpenguins) library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.1 -- ## v ggplot2 3.3.5 v purrr 0.3.4 ## v tibble 3.1.6 v dplyr 1.0.7...
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GENERAL STATISTICS
#Data Importation data<-read.csv("C:\\Users\\LUMUMBA\\Downloads\\training model.csv") head(data,10) ## year CPI Exch.Rate Lend.Int.Rates ## 1 1987 7.872727 16.45499 14.00000 ## 2 1988 8.848083 17.74710 15.00000 ## 3 1989 10.035029 20.57247 17.25000 ## 4 1990 11.602322 22.91477 18.75000 ## 5 1991 1...
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The Effect of GDP Per Capita and Population on Life Expectancy
Introduction According to the world health organization, global life expectancy between 2000 and 2019 increased from 66 years to 72 years. An increase in life expectancy by 6 years between 2000 and 2019 is an indication that life expectancy improved by 9.677%. An increase in global life expectancy by 9.677% is a significant increase in life expec...
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