This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

R package for computing multiple hypothesis tests on rows/columns of a matrix or a data.frame

Calculate independent samples t test using summary statistics

Statistical analysis of vehicle production metrics with R

Statistical analysis of vehicle production metrics with R

calculate t-statistic and p-value from group means, SDs, and sample size

An R project that conducts a hypothesis test to analyze the validity of Robin Dunbar's claim that humans only have the capacity to keep track of a maximum of 150 people (Dunbar's Number) at a time. Through this project, Dunbar's hypothesis is investigated with the use of multiple t-tests conducted over a Facebook usage dataset.

Perform data analytics using R to provide insights to manufacturing team.

Statistics and R

Use R to conduct statistical analysis on MechaCar manufacturing data.

Using R to gain new insights into mpg and suspension coil PSI data

A few statistical methods appropriate for applications in the biological and social sciences.

Some R Projects - (Chi Square, K-Means, Sentiment Analysis, Simple Regression, T-Test)

Statistics and tests: normal distribution, binomial test, chi2 test, t-test, p-value

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

This repository contains my assignment solutions for the Statistical Data Analysis.

Implementation of statistics, and hypothesis testing to analyze a series of datasets from the automotive industry. Merged csv files into one data frame to create a series of scatter plots between treatment groups with `R`. Performed statistical analysis to determine differences between treatment groups.

Daniel Carpenter's Advanced-R Class's Package development in R

RoBTT R package for estimating robust Bayesian t-test

Resources used to learn R