Other packages > Find by keyword >

precisePlacement  

Suite of Functions to Help Get Plot Elements Exactly Where You Want Them
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("precisePlacement", "0.2.0")



Attach the package and use:
library("precisePlacement")
Maintained by
Jasper Watson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-15
Latest Update: 2021-06-15
Description:
Provides a selection of tools that make it easier to place elements onto a (base R) plot exactly where you want them. It allows users to identify points and distances on a plot in terms of inches, pixels, margin lines, data units, and proportions of the plotting space, all in a manner more simple than manipulating par().
How to cite:
Jasper Watson (2021). precisePlacement: Suite of Functions to Help Get Plot Elements Exactly Where You Want Them. R package version 0.2.0, https://cran.r-project.org/web/packages/precisePlacement. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 0.1.0 (2021-06-15 10:10)
Other packages that cited precisePlacement R package
View precisePlacement citation profile
Other R packages that precisePlacement depends, imports, suggests or enhances
Complete documentation for precisePlacement
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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