An R package to analyze, summarize, and visualize daily streamflow data 💧
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Updated
Oct 10, 2024 - R
An R package to analyze, summarize, and visualize daily streamflow data 💧
Presentation-Ready Data Summary and Analytic Result Tables
Supplement to functions found in the {gtsummary} R package
Create Plots for VirusHuntergatherer virus discovery output (hittables)
Summary plots with adjusted error bars
Rapid standardisation and quality control of GWAS or QTL summary statistics
An R package to Compute Summary Measures of Health Inequality
The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.
Analysis of proportions using Anscombe transform
Conducted statistical analysis on MechaCar, a new prototype suffering from production troubles, data to provide insights that may help the manufacturing team.
Designed a statistical study based on car dealership feature information with the use of RStudio. Summary statistics as well as linear regression, p-values, and r-squared values are implemented to analyze the company's features.
R Package 📦 Containing the Datasaurus Dozen datasets 📊
R package to access GWAS Catalog FTP data
Funcions utils per a bioestadistica i bioinformatica
A Shiny app to analyze, summarize, and visualize daily streamflow data 💧
Analysis on MechaCar data to help the manufacturing team, using R to run multiple linear regression, summary statistics, and t-tests.
The analysis uses R language to run a multiple linear regression, t-tests, and generate summary statistics, in order to aid an automotive company in identifying the production troubles that are hindering the manufacture of a prototype car of theirs.
A statistical analysis of vehicle production using R
Constrained likelihood estimation and inference with truncated lasso penalty for linear, generalized linear, and Gaussian graphical models.
Analysis of MechaCar dataset to establish relationships between features and miles per gallon(mpg) on a variety of cars. Various types of statistical analysis were performed using RStudio to establish potential relationships and the accuracy of each test respectively.
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