rstudio based examples created for an introductory statistics class

This is a homework I did in the Spring 2017. It involves conducting Chi Square Tests, Confidence Intervals, Kolmogorov-Smirnov Tests, and Shapiro-Wilk Normality Tests. It has problem numbers that are associated to problems in "Using R: Introductory Statistics".

Statistics-Projects done in R involving basic R Function, analyzing US Election, boxplot and confidence interval for HeartBeat using finger-arm method, analysis of voicedata to classify instrument v/s Singer data, Linear Regression, Anova Analysis and AIC For cancer data and BootStrap Analysis on CPU Time. These are projects done by Akhilesh Kum…

R file that looks at standard error, confidence intervals, and t-tests in a data set.

SPSS Extension: Confidence intervals for proportion

Shiny application to calculate confidence intervals from DBSolveOptimum output

Code for my talk on regression trees, prediction power and generating confidence intervals.

R functions I made over the years to make my work easier. Includes data visualization functions in base R and functions for extracting relevant info from R model objects to make useful, informative tables.

Versatile Exploration of Data

An R project that investigates whether different genres of songs have significantly different durations through the use of a one-way ANOVA test and post hoc significance tests conducted over an excerpt of a dataset consisting of 1 million popular songs compiled by The Echo Nest and a lab at Columbia University.

Examining confidence intervals in abstracts

➖➖➖🔶➖➖ Tidy Simultaneous Confidence Intervals for Multinomial Proportions

A series of statistical models applied to different case studies

The project involves the multivariate regression analysis of a dataset.

Tests and confidence intervals for differences in cross-validated AUC

Data and model files to accompany the Medium article on visualizing model components to understand uncertainty in statistical models.

R package to calculate signed root deviance profiles for linear combinations of parameters in a glm. Multiple tests and simultaneous confidence intervals are provided.

Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators

📦 Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap 📚 🔮 📡