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Explore Data with Plots and Tables

Provides modular functions and applications for quickly generating plots and tables. Each modular function opens a graphical user interface providing the user with options to create and customise plots and...

Interactive Data Tables for R

Interactive data tables for R, based on the 'React Table' JavaScript library. Provides an HTML widget that can be used in 'R Markdown' or 'Quarto' documents, 'Shiny' applications, or viewed...

Obtaining a Flat Table from Pivot Tables

Transformations that allow obtaining a flat table from reports in text or Excel format that contain data in the form of pivot tables. They can be defined for a single...

Network Analysis for Input-Output Tables

Network functionalities specialized for data generated from input-output tables.

Translation of Base R-Like Functions for 'data.table' Objects

Some heavily used base R functions are reconstructed to also be compliant to data.table objects. Also, some general helper functions that could be of interest for working with data...

Build Tables in the OMOP Common Data Model

Provides functionality to construct standardised tables from health care data formatted according to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. The package includes tools to build key tables...

Create Report Table from Different Objects

Tools for generating descriptives and report tables for different models, data.frames and tables and exporting them to different formats.

Easy Table

Creates simple to highly customized tables for a wide selection of descriptive statistics, with or without weighting the data.

Column Profile for Tables and Datasets

Profiles datasets (collecting statistics and informative summaries about that data) on data frames and 'ODBC' tables: maximum, minimum, mean, standard deviation, nulls, distinct values, data patterns, data/format frequencies.

XML Generation from Tables

Converting structured data from tables into XML format using predefined templates ensures consistency and flexibility, making it ideal for data exchange, reporting, and automated workflows.

Split a Dataframe, Tibble, or Data.table into Training and Test Sets

Split a dataframe, tibble, or data.table into training and test sets. Return either a list, an index, or directly assign training and test sets into memory.

Audit and Diagnostic Tools for 'data.table' Workflows

Diagnostic tools for auditing data analysis workflows built on 'data.table'. Provides functions to validate join operations, compare data.tables, filter with diagnostic output, summarize data quality, check primary keys...

All Final Tables of the Bundesliga

All final tables of Germany's highest football (soccer!) league, the Bundesliga. Contains data from 1964 to 2016.

Better 'Typst' Tables

Create 'Typst' table markup from data frames. Features a pipe-friendly interface for column, row, and cell styling with support for grouped headers, grouped rows, and data-driven formatting.

Easy to Make (Lazy) Tables

Constructs tables of counts and proportions out of data sets with possibility to insert tables to Excel, Word, HTML, and PDF documents. Transforms tables to data suitable for modelling. Features...

IO for GAMS GDX Files using 'data.table'

Interfaces GAMS data (*.gdx) files with 'data.table's using the GAMS R package 'gdxrrw'. The 'gdxrrw' package is available on the GAMS wiki: <https://support.gams.com/doku.php...

Collapsible 'HTML' Tables from Hierarchical Data

Creates collapsible, expandable 'HTML' tables from hierarchical data. Supports data frame input with multi-level grouping, custom column formatters, bottom-up rollup aggregation, and CSS-variable-based theming. Works in...

Generate "LaTeX"" Tables of Descriptive Statistics

These functions are especially helpful when writing reports of data analysis using "Sweave".

Produce Standard/Formalized Demographics Tables

Augment clinical data with metadata to create output used in conventional publications and reports.

Row-by-Row Table Building

Builds tables with customizable rows. Users can specify the type of data to use for each row, as well as how to handle missing data and the types of comparison...