Presentation-Ready Data Summary and Analytic Result Tables

R Package 📦 Containing the Datasaurus Dozen datasets 📊

Rapid standardisation and quality control of GWAS or QTL summary statistics

An R package to analyze, summarize, and visualize daily streamflow data 💧

Generate descriptive statistics

metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.

Summary plots with adjusted error bars

Supplement to functions found in the {gtsummary} R package

Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R

A Shiny app to analyze, summarize, and visualize daily streamflow data 💧

Constrained likelihood estimation and inference with truncated lasso penalty for linear, generalized linear, and Gaussian graphical models.

Extensions and extras for tidy processing.

An R package to explore and quality check data

R package to access GWAS Catalog FTP data

A statistical approach for meta-analyzing adjusted and unadjusted estimates from epidemiological cohorts/studies.

An R package to Compute Summary Measures of Health Inequality

Provides functions for tabulating and summarizing categorical, multiple response, ordinal, and continuous variables in R data frames.

Create Plots for VirusHuntergatherer virus discovery output (hittables)

The purpose of this analysis is to help Mechacar's Manufacturing team to understand what car features impact car performance the most. The manufacturing team will incorporate the insights into the manufacturing process aiming to produce the best performing cars in the market, rebrand the company image, and regain market share.

R_basics- Earth Quake data