R-universe search: exports:add

Showing 11 of total 11 results (show query)

symbolixau

mapdeck:Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl'

Provides a mechanism to plot an interactive map using 'Mapbox GL' (<https://docs.mapbox.com/mapbox-gl-js/api/>), a javascript library for interactive maps, and 'Deck.gl' (<https://deck.gl/>), a javascript library which uses 'WebGL' for visualising large data sets.

Maintained by David Cooley. Last updated 3 months ago.

deckgl geospatial mapbox mapbox-gl mapbox-gl-js maps cpp

366 stars 10.32 score 368 scripts 1 dependents

jbengler

tidyplots:Tidy Plots for Scientific Papers

The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.

Maintained by Jan Broder Engler. Last updated 5 days ago.

497 stars 9.45 score 85 scripts

kcuilla

reactablefmtr:Streamlined Table Styling and Formatting for Reactable

Provides various features to streamline and enhance the styling of interactive reactable tables with easy-to-use and highly-customizable functions and themes. Apply conditional formatting to cells with data bars, color scales, color tiles, and icon sets. Utilize custom table themes inspired by popular websites such and bootstrap themes. Apply sparkline line & bar charts (note this feature requires the 'dataui' package which can be downloaded from <https://github.com/timelyportfolio/dataui>). Increase the portability and reproducibility of reactable tables by embedding images from the web directly into cells. Save the final table output as a static image or interactive file.

Maintained by Kyle Cuilla. Last updated 2 years ago.

customization data-visualization easy-to-use reproducible tables

209 stars 8.79 score 460 scripts 4 dependents

bioc

ggkegg:Analyzing and visualizing KEGG information using the grammar of graphics

This package aims to import, parse, and analyze KEGG data such as KEGG PATHWAY and KEGG MODULE. The package supports visualizing KEGG information using ggplot2 and ggraph through using the grammar of graphics. The package enables the direct visualization of the results from various omics analysis packages.

Maintained by Noriaki Sato. Last updated 2 months ago.

pathways dataimport kegg ggplot2 ggraph pathway tidygraph visualization

225 stars 8.08 score 30 scripts 1 dependents

tylermorganwall

rayimage:Image Processing for Simulated Cameras

Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices. Includes functions to perform 2D convolutions, reorient and resize images/matrices, add image and text overlays, generate camera vignette effects, and add titles to images.

Maintained by Tyler Morgan-Wall. Last updated 2 months ago.

cpp

52 stars 7.67 score 22 scripts 12 dependents

cardiomoon

rrtable:Reproducible Research with a Table of R Codes

Makes documents containing plots and tables from a table of R codes. Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.

Maintained by Keon-Woong Moon. Last updated 2 years ago.

3 stars 6.45 score 76 scripts 2 dependents

gesistsa

webtrackR:Preprocessing and Analyzing Web Tracking Data

Data structures and methods to work with web tracking data. The functions cover data preprocessing steps, enriching web tracking data with external information and methods for the analysis of digital behavior as used in several academic papers (e.g., Clemm von Hohenberg et al., 2023 <doi:10.17605/OSF.IO/M3U9P>; Stier et al., 2022 <doi:10.1017/S0003055421001222>).

Maintained by David Schoch. Last updated 3 months ago.

webtracking

9 stars 6.03 score 8 scripts

pheymanss

chronicle:Grammar for Creating R Markdown Reports

A system for creating R Markdown reports with a sequential syntax.

Maintained by Philippe Heymans Smith. Last updated 1 years ago.

29 stars 5.54 score 24 scripts

mi2datalab

tidycharts:Generate Tidy Charts Inspired by 'IBCS'

There is a wide range of R packages created for data visualization, but still, there was no simple and easily accessible way to create clean and transparent charts - up to now. The 'tidycharts' package enables the user to generate charts compliant with International Business Communication Standards ('IBCS'). It means unified bar widths, colors, chart sizes, etc. Creating homogeneous reports has never been that easy! Additionally, users can apply semantic notation to indicate different data scenarios (plan, budget, forecast). What's more, it is possible to customize the charts by creating a personal color pallet with the possibility of switching to default options after the experiments. We wanted the package to be helpful in writing reports, so we also made joining charts in a one, clear image possible. All charts are generated in SVG format and can be shown in the 'RStudio' viewer pane or exported to HTML output of 'knitr'/'markdown'.

Maintained by Bartosz Sawicki. Last updated 3 years ago.

charts clean ibcs visualization

5 stars 5.23 score 17 scripts

antoineguillot2

D3partitionR:Interactive Charts of Nested and Hierarchical Data with 'D3.js'

Builds interactive 'd3.js' hierarchical visualisation easily. D3partitionR makes it easy to build and customize sunburst, circle treemap, treemap, partition chart, ...

Maintained by Antoine Guillot. Last updated 6 years ago.

d3js d3partitionr data-visualization r-shiny

40 stars 4.30 score 8 scripts

cran

scplot:Plot Function for Single-Case Data Frames

Add-on for the 'scan' package that creates plots from single-case data frames ('scdf'). It includes functions for styling single-case plots, adding phase-based lines to indicate various statistical parameters, and predefined themes for presentations and publications. More information and in depth examples can be found in the online book "Analyzing Single-Case Data with R and 'scan" Jürgen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.

Maintained by Juergen Wilbert. Last updated 29 days ago.

2.18 score