R package colorspace: Color Space Manipulation , 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. (Source:

References in zbMATH (referenced in 13 articles , 1 standard article )

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  1. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017)
  2. Blake MacDonald; Pritam Ranjan; Hugh Chipman: GPfit: An R Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs (2015)
  3. Fabio Sigrist; Hans Künsch; Werner Stahel: spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process (2015)
  4. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  5. Arnošt Komárek; Lenka Komárková: Capabilities of R Package mixAK for Clustering Based on Multivariate Continuous and Discrete Longitudinal Data (2014)
  6. Richard Heiberger; Naomi Robbins: Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications (2014)
  7. Alexander Pilhöfer; Antony Unwin: New Approaches in Visualization of Categorical Data: R Package extracat (2013)
  8. Murrell, Paul: R graphics (2011)
  9. Zieffler, Andrew S.; Harring, Jeffrey R.; Long, Jeffrey D.: Comparing groups. Randomization and bootstrap methods using R. (2011)
  10. Tseng, George C.: Quantile map: simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry (2010)
  11. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  12. Zeileis, Achim; Hornik, Kurt; Murrell, Paul: Escaping RGBland: selecting colors for statistical graphics (2009)
  13. Murrell, Paul: R graphics. (2006)