R Package to Quickly and Neatly Summarize Data
Analytics & Machine Learning R Sidekick
An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
Easy and thorough description of datasets
The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats
Generate descriptive statistics
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
Quickly make tables of descriptive statistics (i.e., counts, percentages, confidence intervals) for categorical variables. This package is designed to work in a tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
Easily make descriptive statistics tables
A look at literacy in India using R | Descriptive statistics | Analysis on Literacy rate | Census 2011
This package provides functions to create descriptive statistics tables for continuous and categorical variables.
The goal of meantables is to quickly make tables of descriptive statistics (i.e., counts, means, confidence intervals) for continuous variables. This package is designed to work in a Tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.
Simulations of language evolution and phylogenetic/feature dynamics, as described in: "Kapur, Rhea and Phillip Rogers. 2020. Modeling language evolution and feature dynamics in a realistic geographic environment. 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain."
describr - publication quality descriptive tables with R
This is a Descriptive Analytics Project which consists of various univariate, bivariate and multivariate data analysis on multiple data sets and their variables using R and its various statistical packages
Descriptive Statistics and Regression Analysis on Used Vehicle Dataset.
The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.
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