Leveraging Experiment Lines to Data Analytics.

DAL Toolbox

The goal of DAL Toolbox is to provide a series data analytics functions organized as a framework. It supports data preprocessing, classification, regression, clustering, and time series prediction functions.

Installation

The latest version of DAL Toolbox at CRAN is available at: https://CRAN.R-project.org/package=daltoolbox

You can install the stable version of DAL Toolbox from CRAN with:

install.packages("daltoolbox")

You can install the development version of DAL Toolbox from GitHub https://github.com/cefet-rj-dal/daltoolbox with:

library(devtools)
devtools::install_github("cefet-rj-dal/daltoolbox", force=TRUE, dependencies=FALSE, upgrade="never")

Examples

Classification: https://nbviewer.org/github/cefet-rj-dal/daltoolbox/tree/main/classification/

Clustering: https://nbviewer.org/github/cefet-rj-dal/daltoolbox/tree/main/clustering/

Graphics: https://nbviewer.org/github/cefet-rj-dal/daltoolbox/tree/main/graphics/

Regression: https://nbviewer.org/github/cefet-rj-dal/daltoolbox/tree/main/regression/

Time series: https://nbviewer.org/github/cefet-rj-dal/daltoolbox/tree/main/timeseries/

Transformation: https://nbviewer.org/github/cefet-rj-dal/daltoolbox/tree/main/transformation/

The examples are organized according to general (data preprocessing), clustering, classification, regression, and time series functions. This version has Python integration with Pytorch.

library(daltoolbox)
#> Registered S3 method overwritten by 'quantmod':
#>   method            from
#>   as.zoo.data.frame zoo
#> 
#> Attaching package: 'daltoolbox'
#> The following object is masked from 'package:base':
#> 
#>     transform
## loading DAL Toolbox

Bugs and new features request

https://github.com/cefet-rj-dal/daltoolbox/issues.