This project is my final course work for Non-Parametric Statistics at the University of Lagos. It is a collection of detailed R Markdown scripts that demonstrate the application of various statistical tests and data visualization techniques. These scripts cover a wide range of topics from quality control in production processes to healthcare studies and educational methodologies. This project serves as a reference for anyone interested in learning how to conduct statistical analyses using R.
- ANOVA Analysis - Comparing different teaching methods and their effectiveness.
- Correlation Studies - Examining the relationship between smoking during pregnancy and newborn weights.
- Time Series Analysis - Observing glove usage trends in healthcare before and after an educational intervention.
- Non-parametric Tests - Analyzing data from ecological studies and medical scans to assess different hypotheses.
- Control Charts - Evaluating production stability using quality control data.
To run these analyses, you will need R and RStudio installed on your computer. You can download and install R from The Comprehensive R Archive Network (CRAN) and RStudio from RStudio's website.
Install the following R packages to ensure that all scripts run correctly:
install.packages(c("tidyverse", "broom", "ggpubr", "BSDA", "coin", "randtests", "knitr"))Each script in this repository is an independent R Markdown file. To run an analysis:
Open the R Markdown file in RStudio. Set the working directory to the file's location. Click on "Knit" to compile the analysis into a Word, HTML, or PDF document, depending on the configuration at the top of each script.
This project is licensed under the MIT License - see the LICENSE file for details.