Other packages > Find by keyword >

plotscale  

Scale Graphics Devices Using Plot Dimensions
View on CRAN: Click here


Download and install plotscale package within the R console
Install from CRAN:
install.packages("plotscale")

Install from Github:
library("remotes")
install_github("cran/plotscale")

Install by package version:
library("remotes")
install_version("plotscale", "0.1.6")



Attach the package and use:
library("plotscale")
Maintained by
Tim Bergsma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-31
Latest Update: 2018-08-31
Description:
Figures rendered on graphics devices are usually rescaled to fit pre-determined device dimensions. 'plotscale' implements the reverse: desired plot dimensions are specified and device dimensions are calculated to accommodate marginal material, giving consistent proportions for plot elements. Default methods support grid graphics such as lattice and ggplot. See "example('devsize')" and "vignette('plotscale')".
How to cite:
Tim Bergsma (2018). plotscale: Scale Graphics Devices Using Plot Dimensions. R package version 0.1.6, https://cran.r-project.org/web/packages/plotscale. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited plotscale R package
View plotscale citation profile
Other R packages that plotscale depends, imports, suggests or enhances
Complete documentation for plotscale
Functions, R codes and Examples using the plotscale R package
Some associated functions: as.pdf.default . as.pdf . as.png.default . as.png . as.size.list . as.size . devsize.default . devsize . plotsize.default . plotsize . print.size . unscaled.default . unscaled . 
Some associated R codes: default.R . generic.R .  Full plotscale package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA