Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in para…

This is a work from the subject of stadistics is about linear regression in the language R, It also calculates the Pearson coefficient

R package to compute Pearson correlation and mutual information theory outputs for multiple variables association study. Final outputs include a Pearson contingence heatmap, a theory information entropy outputs table and a theory information entropy heatmap.

Pemilihan Jenis Korelasi Terbaik Berdasarkan Asumsi Normalitas Pada Indikator Pertumbuhan Semangka.

Applied KS test and T-test to check whether rental subsidy rate’s distributions are different across different PHAs and implemented Pearson-correlation analysis to explore the linear correlation between rental subsidy rate and other factors.

Quantitative Analysis of Mid-Atlantic Wage Data using R

Hierarchical moving-window statistical analysis for time series.

I used R programming language and Pearson correlation coefficient test in order to analyze the parameters to check if the water is appropriate for either drinking or agricultural usage.

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

All the R scripts I used during my time as a grad student at Clemson University