Explore data using a simple interface. Generate descriptive statistics, understand distributions, build visualizations step by step, perform parametric and non-paramaetric tests and build models.
The olsrr package provides tools for building OLS regression models. It includes regression diagnostics and several variable selection procedures.
The blorr package provides tools for builing binary logistic regression models.
descriptr eases the process of generating summary statistics and exploration of statistical distributions. It includes a set of functions for visualizing key distributions and summarizing data.
The inferr package builds upon the statistical tests provided in stats package, provides additional and flexible input options, and more detailed and structured test results.
A simple light weight package for customer segmentation using recency, frequency and monetary value analysis.
The xplorerr package provides a set of shiny apps for descriptive statistics, hypothesis testing, data visualization and regression modeling.
Simple interface for uploading data. As a tool aimed at beginners, all you need to do is to upload your data in a comma or tab separated file and get going with your analysis.
Screen data for missing values, rename variables and modify data types.
Generate detailed summary statistics, one and two way tables, group summaries and visualize the same.
Vizually explore the most important statistical distributions. Understand the factors which influence their shapes. Learn to calculate the probability and quantiles.
Visualize data by interactively building plots step by step.
Test hypothesis using a set of most important parametric and non-parametric tests.
Build and evaluate statistical models using a simple workflow.