Mensys Online Shop

R Graphics Cookbook - eBook (PDF)

Categorie:Algemeen - Digitale Boeken (eBoeken) Van:O'REILLY MEDIA
Auteur(s):Chang, WinstonBladzijden:416
Publicatie-jaar:2012 

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language,  » Lees meer...

R Graphics Cookbook - eBook (PDF)

Selecteer een of meer artikelen en klik dan op Bestellen. Aantallen kunnen op de volgende blz. gewijzigd worden.
 R Graphics Cookbook
Partnr.OmschrijvingEuro *Euro incl. BTW 
9781449363116 R Graphics Cookbook Practical Recipes for Visualizing Data 1ed. PDF23.9729.00

Alle prijzen zijn in Euro excl. BTW (21%, voor boeken 6%) en excl. verzendkosten.
Verzenden is gratis bij orders boven de 20 euro in Nederland, daaronder 5 euro excl. BTW.

E-mail of bel 085 40 19 16 0 voor licenties, upgrades en andere vragen.

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started.

  • Use R’s default graphics for quick exploration of data
  • Create a variety of bar graphs, line graphs, and scatter plots
  • Summarize data distributions with histograms, density curves, box plots, and other examples
  • Provide annotations to help viewers interpret data
  • Control the overall appearance of graphics
  • Render data groups alongside each other for easy comparison
  • Use colors in plots
  • Create network graphs, heat maps, and 3D scatter plots
  • Structure data for graphing