Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 34 packages in 0.02 seconds

cowplot — by Claus O. Wilke, 25 days ago

Streamlined Plot Theme and Plot Annotations for 'ggplot2'

Provides various features that help with creating publication-quality figures with 'ggplot2', such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. The package was originally written for internal use in the Wilke lab, hence the name (Claus O. Wilke's plot package). It has also been used extensively in the book Fundamentals of Data Visualization.

ggplot2 — by Thomas Lin Pedersen, 25 days ago

Create Elegant Data Visualisations Using the Grammar of Graphics

A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

geepack — by Søren Højsgaard, a month ago

Generalized Estimating Equation Package

Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses.

MESS — by Claus Thorn Ekstrøm, 6 months ago

Miscellaneous Esoteric Statistical Scripts

A mixed collection of useful and semi-useful diverse statistical functions, some of which may even be referenced in The R Primer book.

ggridges — by Claus O. Wilke, 16 days ago

Ridgeline Plots in 'ggplot2'

Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.

pwr — by Helios De Rosario, 10 months ago

Basic Functions for Power Analysis

Power analysis functions along the lines of Cohen (1988).

pso — by Claus Bendtsen, 8 years ago

Particle Swarm Optimization

The package provides an implementation of PSO consistent with the standard PSO 2007/2011 by Maurice Clerc et al. Additionally a number of ancillary routines are provided for easy testing and graphics.

colorspace — by Achim Zeileis, 2 months ago

A Toolbox for Manipulating and Assessing Colors and Palettes

Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with corresponding ggplot2 color scales. Color palette choice is aided by an interactive app (with either a Tcl/Tk or a shiny graphical user interface) and shiny apps with an HCL color picker and a color vision deficiency emulator. Plotting functions for displaying and assessing palettes include color swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation functions include: desaturation, lightening/darkening, mixing, and simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly). Details can be found on the project web page at < http://colorspace.R-Forge.R-project.org/> and in the accompanying scientific paper: Zeileis et al. (2020, Journal of Statistical Software, ).

socceR — by Claus Thorn Ekstrøm, 2 years ago

Evaluating Sport Tournament Predictions

Functions for evaluating tournament predictions, simulating results from individual soccer matches and tournaments. See < http://sandsynligvis.dk/2018/08/03/world-cup-prediction-winners/> for more information.

dataReporter — by Claus Thorn Ekstrøm, a month ago

Reproducible Data Screening Checks and Report of Possible Errors

Data screening is an important first step of any statistical analysis. 'dataReporter' auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 for more information.