Package for automation of statistics that are widely used in metabolomics.
-
Updated
Nov 13, 2021 - R
Package for automation of statistics that are widely used in metabolomics.
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
Perform a STEP by STEP multiple mean comparison analysis on R
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
Build a statistical model based customer satisfaction dataset from Qualtrics survey
Report findings from normality tests such as shapiro.test, ad.test, ols_normality_test.
DsFeatFreqComp – Dataset Feature-Frequency Comparison R Package
Determined the best regression model which represents the data
This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.
A repository created to explore and understand Statistics through coding.
Statistics on App usage data
Enhancing Statistical Tests: Integrating Automation and Visualization for Optimal Data Analytics
The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.
Final Project for PHST 683 for M.S. Biostatistics at University of Louisville (Survival Analysis)
Add a description, image, and links to the shapiro-wilk topic page so that developers can more easily learn about it.
To associate your repository with the shapiro-wilk topic, visit your repo's landing page and select "manage topics."