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

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

Implementation of Statistical Inference Concepts for learners.

rstudio based examples created for an introductory statistics class

This is the repository for the RMediation package.

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.

Statistical analysis and linear modeling in R

Collection of some exercises and code snippets for the course of Applied Statistics [Politecnico di Milano, 2020/2021] by Professor Piercesare Secchi.

Establish continuous nonparametric 95% reference intervals

Performing Statistical Tests and Analysis in R

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

Learning mathematical methods of data analysis in the language R.

Find the likelihood based confidence intervals for parameters in structural equation modeling

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".

The project involves the multivariate regression analysis of a dataset.

Making confidence interval using ggplot.

This R script analyses COVID-19 data focusing on death rates, age, and gender effects on mortality. It computes descriptive statistics, cleans data, calculates death rates, performs hypothesis testing, and evaluates claims regarding age and gender effects on death.

SPSS Extension: Confidence intervals for proportion