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Showing 13 open source projects for "types"
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FriendsDon'tLetFriends
Friends don't let friends make certain types of data visualization
Friends don't let friends make certain types of data visualization - What are they and why are they bad. -
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caret
caret (Classification And Regression Training) R package
The caret (Classification And Regression Training) R package streamlines the process of building predictive machine learning models. It provides uniform interfaces for model training, tuning, evaluation, preprocessing, and variable importance. With support for over 200 models, caret is foundational for R workflows in modeling and machine learning. -
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Readr
Read flat files (csv, tsv, fwf) into R
readr is an R package that provides a fast and friendly way to read rectangular data, such as CSV and TSV files. Part of the Tidyverse, it simplifies data import and parsing tasks in R. -
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ShinyItemAnalysis
Test and Item Analysis via Shiny
ShinyItemAnalysis is an R package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters. Exploration of total and standard scores. Analysis of measurement error and reliability. Analysis of correlation structure and validity. Traditional item analysis. Item analysis with regression models. Item analysis with IRT models. Detection of differential item functioning. ... -
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broom
Convert statistical analysis objects from R into tidy format
broom is part of the tidymodels ecosystem that converts statistical model outputs (e.g. from lm, glm, t.test, lme4, etc.) into tidy tibbles — standardized data frames — using functions tidy(), glance(), and augment(). These are easier to manipulate, visualize, and report programmatically. -
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ggstatsplot
Enhancing {ggplot2} plots with statistical analysis
{ggstatsplot} is an extension of {ggplot2} package for creating graphics with details from statistical tests included in the information-rich plots themselves. In a typical exploratory data analysis workflow, data visualization and statistical modeling are two different phases: visualization informs modeling, and modeling in its turn can suggest a different visualization method, and so on and so forth. Bayesian hypothesis-testing. The central idea of {ggstatsplot} is simple: combine these... -
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MetBrewer
Color palette package inspired by Metropolitan Museum of Art in NY
...The palettes are curated, named after artworks or styles, and often include notes about colorblind-friendliness and contrast. The package supports both discrete and continuous palette types, with interpolation when more colors are requested than originally defined. It also provides ggplot2-friendly scale functions (scale_color_met_c, scale_fill_met_d, etc.) so integration into typical R plotting workflows is smooth. Internally, the package includes functions to list available palettes, check which are colorblind-friendly, and visualize all palettes at once. -
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ggrepel
epel overlapping text labels away from each other in your ggplot2
ggrepel is an R package that provides “smart” repulsion for text and label geoms in ggplot2. When placing text labels on a plot (e.g. labeling points), the labels can often overlap; ggrepel ensures labels don’t overlap (or overlap less) by repelling labels / pushing them away, adding connecting lines or nudges, etc. It improves the readability of plots, especially when many labels are present. Support for point and segment geoms (so labels can be connected by lines when moved). Supports both... -
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Harmony Data Integration
Fast, sensitive and accurate integration of single-cell data
Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. Harmony has been tested on R versions =4. Please consult the DESCRIPTION file for more details on required R packages. Harmony has been tested on Linux, OS X, and Windows platforms. -
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bbplot
R package that helps create and export ggplot2 charts
...It provides functions and themes that make it easier to adopt BBC’s visual style (fonts, colors, annotations, layout) in ggplot2 plots. The package includes helper functions for axis labels, captions, legends, branding (e.g. BBC red lines or accents), and common chart types styled for editorial presentation. It offers templates and defaults that reduce styling overhead so users can focus on data and storytelling rather than aesthetic minutiae. Because visual consistency is important in media, bbplot helps non-designers build plots that align with professional publication standards. The repository includes documentation, vignettes, example plots, and guidelines for customization (e.g. switching colors, modifying typography). -
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bookdownplus
Use R package bookdown for writing varied types of books and documents
The package bookdownplus (Zhao 2017a) is an extension of R bookdown (Xie 2016). It is a collection of multiple templates on the basis of LaTeX, which is tailored so that I can work happily under the umbrella of bookdown. bookdownplus helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries. bookdown features the collaboration of many fantastic tools. However, an R beginner might be confused or depressed in struggling in the flood of LaTeX,... -
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sf (Simple Features)
Simple Features for R
...Reading and writing spatial vector data via many file formats/drivers through GDAL, and spatial databases (PostGIS etc.) Supports all standard simple feature geometry types (points, linestrings, polygons, multi-geometries etc.) in various dimensions (XY, XYZ, XYM, XYZM). -
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circlize
Circular visualization in R
circlize is an R package for creating circular visualizations (plots laid out in circular coordinate systems) in a very flexible way. It implements many types of plots using circular layouts: chord diagrams, circular heatmaps, arcs/links between sectors, genomic data visualization, etc. It provides low-level drawing functions as well as high-level functions to build complex visualizations. It’s often used in genomics, network analysis, or other fields where relationships among categories or entities can be nicely displayed in a circular fashion. ...
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