Exploring univariate statistics in R, summarising data and finding patterns in the data.
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Updated
Nov 14, 2017 - R
Exploring univariate statistics in R, summarising data and finding patterns in the data.
Function that provides a summary statistics for numeric/factor/character columns
An R package to explore and quality check data
Functions to perform population genetic summary-statistics calculations in R
Easily install and load all Rsquared Academy R packages.
Extensions and extras for tidy processing.
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Statistical analysis of vehicle production metrics with R
Fictional company AutosRUs’ newest prototype, the MechaCar, is suffering from production troubles that are blocking the manufacturing team’s progress. AutosRUs’ senior management enlisted assistance from the data analytics team to review the production data for insights that may help the manufacturing team overcome their production issues.
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.
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
Statistical analysis of vehicle production metrics with R
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