Showing 24 of total 24 results (show query)
jianhong
colorBlindness:Safe Color Set for Color Blindness
Provide the safe color set for color blindness, the simulator of protanopia, deuteranopia. The color sets are collected from: Wong, B. (2011) <doi:10.1038/nmeth.1618>, and <http://mkweb.bcgsc.ca/biovis2012/>. The simulations of the appearance of the colors to color-deficient viewers were based on algorithms in Vienot, F., Brettel, H. and Mollon, J.D. (1999) <doi:10.1002/(SICI)1520-6378(199908)24:4%3C243::AID-COL5%3E3.0.CO;2-3>. The cvdPlot() function to generate 'ggplot' grobs of simulations were modified from <https://github.com/clauswilke/colorblindr>.
Maintained by Jianhong Ou. Last updated 4 years ago.
53.8 match 4.20 score 315 scripts
corymccartan
wacolors:Colorblind-Friendly Palettes from Washington State
Color palettes taken from the landscapes and cities of Washington state. Colors were extracted from a set of photographs, and then combined to form a set of continuous and discrete palettes. Continuous palettes were designed to be perceptually uniform, while discrete palettes were chosen to maximize contrast at several different levels of overall brightness and saturation. Each palette has been evaluated to ensure colors are distinguishable by colorblind people.
Maintained by Cory McCartan. Last updated 3 years ago.
color-palettecolorblindcolorblind-friendly-palettesdata-visualizationwashington-state
21.2 match 14 stars 4.31 score 29 scripts
sjmgarnier
viridis:Colorblind-Friendly Color Maps for R
Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This package also contains 'ggplot2' bindings for discrete and continuous color and fill scales. A lean version of the package called 'viridisLite' that does not include the 'ggplot2' bindings can be found at <https://cran.r-project.org/package=viridisLite>.
Maintained by Simon Garnier. Last updated 1 years ago.
3.0 match 299 stars 17.92 score 49k scripts 1.2k dependentssjmgarnier
viridisLite:Colorblind-Friendly Color Maps (Lite Version)
Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This is the 'lite' version of the 'viridis' package that also contains 'ggplot2' bindings for discrete and continuous color and fill scales and can be found at <https://cran.r-project.org/package=viridis>.
Maintained by Simon Garnier. Last updated 2 years ago.
2.9 match 67 stars 15.75 score 2.3k scripts 8.0k dependents
spsanderson
TidyDensity:Functions for Tidy Analysis and Generation of Random Data
To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Maintained by Steven Sanderson. Last updated 5 months ago.
bootstrapdensitydistributionsggplot2probabilityr-languagesimulationstatisticstibbletidy
5.6 match 34 stars 7.78 score 66 scripts 1 dependents
kevinsblake
NatParksPalettes:Color Palettes Inspired by National Parks
Color palettes for data visualization inspired by National Parks. Currently contains 15 color schemes and checks for colorblind-friendliness of palettes.
Maintained by Kevin Blake. Last updated 2 months ago.
colorpalettedata-visualization
6.5 match 242 stars 6.53 score 281 scriptsspsanderson
healthyR.ts:The Time Series Modeling Companion to 'healthyR'
Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 5 months ago.
aiarima-forecastingarima-modeletsforecastingggplot2machine-learningmodelingprophettime-seriestime-series-analysisworkflows
5.6 match 19 stars 7.58 score 56 scripts 1 dependentsspsanderson
healthyR.ai:The Machine Learning and AI Modeling Companion to 'healthyR'
Hospital machine learning and ai data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include predicting length of stay, and readmits. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 2 months ago.
aiartificial-intelligencehealthcareanalyticshealthyrhealthyversemachine-learning
5.6 match 16 stars 7.37 score 36 scripts 1 dependentsspsanderson
healthyR:Hospital Data Analysis Workflow Tools
Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 9 months ago.
analysisanalyticshealthcarehealthyr
5.6 match 30 stars 7.27 score 103 scripts 1 dependents
bioc
Voyager:From geospatial to spatial omics
SpatialFeatureExperiment (SFE) is a new S4 class for working with spatial single-cell genomics data. The voyager package implements basic exploratory spatial data analysis (ESDA) methods for SFE. Univariate methods include univariate global spatial ESDA methods such as Moran's I, permutation testing for Moran's I, and correlograms. Bivariate methods include Lee's L and cross variogram. Multivariate methods include MULTISPATI PCA and multivariate local Geary's C recently developed by Anselin. The Voyager package also implements plotting functions to plot SFE data and ESDA results.
Maintained by Lambda Moses. Last updated 3 months ago.
geneexpressionspatialtranscriptomicsvisualizationbioconductoredaesdaexploratory-data-analysisomicsspatial-statisticsspatial-transcriptomics
3.8 match 87 stars 8.71 score 173 scripts
jrnold
ggthemes:Extra Themes, Scales and Geoms for 'ggplot2'
Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame.
Maintained by Jeffrey B. Arnold. Last updated 1 years ago.
data-visualisationggplot2ggplot2-themesplotplottingthemevisualization
1.8 match 1.3k stars 16.17 score 40k scripts 102 dependents
kwstat
pals:Color Palettes, Colormaps, and Tools to Evaluate Them
A comprehensive collection of color palettes, colormaps, and tools to evaluate them. See Kovesi (2015) <doi:10.48550/arXiv.1509.03700>.
Maintained by Kevin Wright. Last updated 10 days ago.
1.7 match 83 stars 11.39 score 2.1k scripts 8 dependents
cran
MetBrewer:Color Palettes Inspired by Works at the Metropolitan Museum of Art
Palettes Inspired by Works at the Metropolitan Museum of Art in New York. Currently contains over 50 color schemes and checks for colorblind-friendliness of palettes. Colorblind accessibility checked using the '{colorblindcheck} package by Jakub Nowosad'<https://jakubnowosad.com/colorblindcheck/>.
Maintained by Blake Robert Mills. Last updated 3 years ago.
6.8 match 2.51 score 5 dependents
coursekata
coursekata:Packages and Functions for 'CourseKata' Courses
Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://coursekata.org>.
Maintained by Adam Blake. Last updated 3 months ago.
3.5 match 4 stars 4.68 score 60 scripts
nrennie
PrettyCols:Pretty Colour Palettes
Defines aesthetically pleasing colour palettes.
Maintained by Nicola Rennie. Last updated 3 months ago.
1.7 match 52 stars 9.20 score 121 scripts 2 dependents
luca-scr
mclust:Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Maintained by Luca Scrucca. Last updated 11 months ago.
1.3 match 21 stars 12.23 score 6.6k scripts 587 dependents
enblacar
SCpubr:Generate Publication Ready Visualizations of Single Cell Transcriptomics Data
A system that provides a streamlined way of generating publication ready plots for known Single-Cell transcriptomics data in a “publication ready” format. This is, the goal is to automatically generate plots with the highest quality possible, that can be used right away or with minimal modifications for a research article.
Maintained by Enrique Blanco-Carmona. Last updated 1 months ago.
softwaresinglecellvisualizationdata-visualizationggplot2publication-quality-plotsseuratsingle-cellsingle-cell-genomicssingle-cell-rna-seq
1.8 match 178 stars 8.71 score 194 scripts
raysinensis
colorrepel:Repel Visually Similar Colors for Colorblind Users in Various Plots
Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
Maintained by Rui Fu. Last updated 2 months ago.
3.3 match 10 stars 4.48 score 1 scriptsbioc
dittoSeq:User Friendly Single-Cell and Bulk RNA Sequencing Visualization
A universal, user friendly, single-cell and bulk RNA sequencing visualization toolkit that allows highly customizable creation of color blindness friendly, publication-quality figures. dittoSeq accepts both SingleCellExperiment (SCE) and Seurat objects, as well as the import and usage, via conversion to an SCE, of SummarizedExperiment or DGEList bulk data. Visualizations include dimensionality reduction plots, heatmaps, scatterplots, percent composition or expression across groups, and more. Customizations range from size and title adjustments to automatic generation of annotations for heatmaps, overlay of trajectory analysis onto any dimensionality reduciton plot, hidden data overlay upon cursor hovering via ggplotly conversion, and many more. All with simple, discrete inputs. Color blindness friendliness is powered by legend adjustments (enlarged keys), and by allowing the use of shapes or letter-overlay in addition to the carefully selected dittoColors().
Maintained by Daniel Bunis. Last updated 5 months ago.
softwarevisualizationrnaseqsinglecellgeneexpressiontranscriptomicsdataimport
1.8 match 7.56 score 760 scripts 2 dependents
kof-ch
tstools:A Time Series Toolbox for Official Statistics
Plot official statistics' time series conveniently: automatic legends, highlight windows, stacked bar chars with positive and negative contributions, sum-as-line option, two y-axes with automatic horizontal grids that fit both axes and other popular chart types. 'tstools' comes with a plethora of defaults to let you plot without setting an abundance of parameters first, but gives you the flexibility to tweak the defaults. In addition to charts, 'tstools' provides a super fast, 'data.table' backed time series I/O that allows the user to export / import long format, wide format and transposed wide format data to various file types.
Maintained by Stéphane Bisinger. Last updated 1 years ago.
1.9 match 11 stars 6.47 score 177 scripts
jacobkap
crimeutils:A Comprehensive Set of Functions to Clean, Analyze, and Present Crime Data
A collection of functions that make it easier to understand crime (or other) data, and assist others in understanding it. The package helps you read data from various sources, clean it, fix column names, and graph the data.
Maintained by Jacob Kaplan. Last updated 2 years ago.
3.5 match 1 stars 2.78 score 12 scripts
jakelawlor
PNWColors:Color Palettes Inspired by Nature in the US Pacific Northwest
PNW-Inspired Palettes for 'R' data visualizations. Palettes are variable in length and checked for colorblind accessibility from hue, saturation, and lightness value scaling using the 'Chroma.js Color Palette Helper' <https://gka.github.io/palettes/>.
Maintained by Jake Lawlor. Last updated 3 years ago.
0.5 match 256 stars 7.73 score 694 scripts 2 dependents
malcolmbarrett
ggokabeito:'Okabe-Ito' Scales for 'ggplot2' and 'ggraph'
Discrete scales for the colorblind-friendly 'Okabe-Ito' palette, including 'color', 'fill', and 'edge_colour'. 'ggokabeito' provides 'ggplot2' and 'ggraph' scales to easily use the 'Okabe-Ito' palette in your data visualizations.
Maintained by Malcolm Barrett. Last updated 2 years ago.
0.5 match 50 stars 7.51 score 232 scripts 4 dependents
cmmr
fillpattern:Patterned Fills for 'ggplot2' and 'grid' Graphics
Adds distinctive yet unobtrusive geometric patterns where solid color fills are normally used. Patterned figures look just as professional when viewed by colorblind readers or when printed in black and white. The dozen included patterns can be customized in terms of scale, rotation, color, fill, line type, and line width. Compatible with the 'ggplot2' package as well as 'grid' graphics.
Maintained by Daniel P. Smith. Last updated 9 months ago.
0.5 match 7 stars 5.51 score 13 scripts 7 dependents