Showing 200 of total 328 results (show query)

dmurdoch

plotrix:Various Plotting Functions

Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.

Maintained by Duncan Murdoch. Last updated 1 years ago.

13.2 match 5 stars 11.31 score 9.2k scripts 361 dependents

jonocarroll

ggeasy:Easy Access to 'ggplot2' Commands

Provides a series of aliases to commonly used but difficult to remember 'ggplot2' sequences.

Maintained by Jonathan Carroll. Last updated 4 months ago.

10.1 match 275 stars 10.45 score 652 scripts 6 dependents

edzer

hexbin:Hexagonal Binning Routines

Binning and plotting functions for hexagonal bins.

Maintained by Edzer Pebesma. Last updated 4 months ago.

fortran

3.8 match 37 stars 14.00 score 2.4k scripts 114 dependents

datastorm-open

visNetwork:Network Visualization using 'vis.js' Library

Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.

Maintained by Benoit Thieurmel. Last updated 2 years ago.

3.4 match 549 stars 15.14 score 4.1k scripts 195 dependents

usaid-oha-si

selfdestructin5:Creates SI OHA Mission Director Briefers

Creates a series of data frames that can be passed to a gt() to create the PEPFAR summary tables.

Maintained by Tim Essam. Last updated 26 days ago.

12.0 match 1 stars 3.98 score 21 scripts

andysouth

rworldmap:Mapping Global Data

Enables mapping of country level and gridded user datasets.

Maintained by Andy South. Last updated 2 years ago.

3.8 match 30 stars 11.83 score 3.2k scripts 14 dependents

dnychka

fields:Tools for Spatial Data

For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857, the National Center for Atmospheric Research, and Colorado School of Mines. See the Fields URL for a vignette on using this package and some background on spatial statistics.

Maintained by Douglas Nychka. Last updated 9 months ago.

fortran

3.2 match 15 stars 12.60 score 7.7k scripts 295 dependents

juba

scatterD3:D3 JavaScript Scatterplot from R

Creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features : panning, zooming, tooltips, etc.

Maintained by Julien Barnier. Last updated 7 months ago.

d3d3jshtmlwidgetsshiny

4.3 match 160 stars 8.98 score 125 scripts 4 dependents

pik-piam

mip:Comparison of multi-model runs

Package contains generic functions to produce comparison plots of multi-model runs.

Maintained by David Klein. Last updated 26 days ago.

3.8 match 1 stars 8.08 score 70 scripts 20 dependents

davidgohel

ggiraph:Make 'ggplot2' Graphics Interactive

Create interactive 'ggplot2' graphics using 'htmlwidgets'.

Maintained by David Gohel. Last updated 3 months ago.

libpngcpp

1.9 match 819 stars 14.39 score 4.1k scripts 34 dependents

milesmcbain

inlegend:Inset legend themes for ggplot2 maps

Provides themes for making ggplot2 maps with inset legends and without whitespace around the margins.

Maintained by Miles McBain. Last updated 4 years ago.

7.2 match 41 stars 3.31 score 7 scripts

cran

SSDforR:Functions to Analyze Single System Data

Functions to visually and statistically analyze single system data.

Maintained by Charles Auerbach. Last updated 3 months ago.

15.8 match 1.48 score

wilkox

treemapify:Draw Treemaps in 'ggplot2'

Provides 'ggplot2' geoms for drawing treemaps.

Maintained by David Wilkins. Last updated 9 months ago.

data-visualisationggplot2treemap

1.8 match 215 stars 12.58 score 1.6k scripts 9 dependents

lakshay-anand

chromoMap:Interactive Genomic Visualization of Biological Data

Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. Because of the large size of the chromosomes, it is impractical to visualize each element on the same plot. However, the plot provides a magnified view for each of chromosome locus to render additional information and visualization specific for that location. You can map thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the chromosome at a location showing each mapped element in sequential order. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.

Maintained by Lakshay Anand. Last updated 3 years ago.

5.0 match 9 stars 4.46 score 80 scripts

karlines

shape:Functions for Plotting Graphical Shapes, Colors

Functions for plotting graphical shapes such as ellipses, circles, cylinders, arrows, ...

Maintained by Karline Soetaert. Last updated 1 years ago.

1.9 match 10.86 score 984 scripts 1.4k dependents

alexym1

fusionchartsR:Embedding FusionCharts in R

FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.

Maintained by Alex Yahiaoui Martinez. Last updated 3 months ago.

4.0 match 6 stars 4.40 score 42 scripts

cran

oaPlots:OpenAnalytics Plots Package

Offers a suite of functions for enhancing R plots.

Maintained by Jason Waddell. Last updated 9 years ago.

13.7 match 1.00 score

marlonecobos

nichevol:Tools for Ecological Niche Evolution Assessment Considering Uncertainty

A collection of tools that allow users to perform critical steps in the process of assessing ecological niche evolution over phylogenies, with uncertainty incorporated explicitly in reconstructions. The method proposed here for ancestral reconstruction of ecological niches characterizes species' niches using a bin-based approach that incorporates uncertainty in estimations. Compared to other existing methods, the approaches presented here reduce risk of overestimation of amounts and rates of ecological niche evolution. The main analyses include: initial exploration of environmental data in occurrence records and accessible areas, preparation of data for phylogenetic analyses, executing comparative phylogenetic analyses of ecological niches, and plotting for interpretations. Details on the theoretical background and methods used can be found in: Owens et al. (2020) <doi:10.1002/ece3.6359>, Peterson et al. (1999) <doi:10.1126/science.285.5431.1265>, Soberón and Peterson (2005) <doi:10.17161/bi.v2i0.4>, Peterson (2011) <doi:10.1111/j.1365-2699.2010.02456.x>, Barve et al. (2011) <doi:10.1111/ecog.02671>, Machado-Stredel et al. (2021) <doi:10.21425/F5FBG48814>, Owens et al. (2013) <doi:10.1016/j.ecolmodel.2013.04.011>, Saupe et al. (2018) <doi:10.1093/sysbio/syx084>, and Cobos et al. (2021) <doi:10.1111/jav.02868>.

Maintained by Marlon E. Cobos. Last updated 2 years ago.

3.5 match 14 stars 3.85 score 2 scripts

rudeboybert

SpatialEpi:Methods and Data for Spatial Epidemiology

Methods and data for cluster detection and disease mapping.

Maintained by Albert Y. Kim. Last updated 2 years ago.

cpp

2.0 match 31 stars 6.68 score 146 scripts