Showing 5 of total 5 results (show query)
bluefoxr
COINr:Composite Indicator Construction and Analysis
A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment" for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation, data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons. It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.
Maintained by William Becker. Last updated 2 months ago.
26 stars 8.94 score 73 scripts 1 dependents
pablo14
funModeling:Exploratory Data Analysis and Data Preparation Tool-Box
Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
Maintained by Pablo Casas. Last updated 2 years ago.
100 stars 8.51 score 654 scripts
alexsanjoseph
compareDF:Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure
Compares two dataframes which have the same column structure to show the rows that have changed. Also gives a git style diff format to quickly see what has changed in addition to summary statistics.
Maintained by Alex Joseph. Last updated 1 years ago.
93 stars 7.49 score 119 scripts 3 dependents
kamapu
biblio:Interacting with BibTeX Databases
Reading and writing BibTeX files using data frames in R sessions.
Maintained by Miguel Alvarez. Last updated 3 months ago.
3 stars 5.32 score 26 scripts 3 dependents
corentinjgosling
metaConvert:An Automatic Suite for Estimation of Various Effect Size Measures
Automatically estimate 11 effect size measures from a well-formatted dataset. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets. This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.
Maintained by Corentin J. Gosling. Last updated 5 months ago.
3.48 score 3 scripts 1 dependents