A frictionless, pipeable approach to dealing with summary statistics
-
Updated
Nov 26, 2024 - HTML
A frictionless, pipeable approach to dealing with summary statistics
Presentation-Ready Data Summary and Analytic Result Tables
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
R Package 📦 Containing the Datasaurus Dozen datasets 📊
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
Morph an input dataset of 2D points into select shapes, while preserving the summary statistics to a given number of decimal points through simulated annealing. It is intended to be used as a teaching tool to illustrate the importance of data visualization.
Rapid standardisation and quality control of GWAS or QTL summary statistics
Causal Mixture Model for GWAS summary statistics
An R package to analyze, summarize, and visualize daily streamflow data 💧
Convert GWAS summary statistics to VCF
Estimate local SNP heritability and genetic covariance from GWAS summary association statistics.
Generate descriptive statistics
GWAS summary statistics files QC tool
Specification for the GWAS-VCF format (manuscript in preparation)
Generate beautiful summary tables from pandas dataframes
Summary plots with adjusted error bars
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
GEAR [GEnetic Analysis Repository], contact [email protected];
Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R
Python library for reading GWAS summary statistics in GWAS-VCF files
Add a description, image, and links to the summary-statistics topic page so that developers can more easily learn about it.
To associate your repository with the summary-statistics topic, visit your repo's landing page and select "manage topics."