Other packages > Find by keyword >

deeptime  

Plotting Tools for Anyone Working in Deep Time
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("deeptime", "2.1.0")



Attach the package and use:
library("deeptime")
Maintained by
William Gearty
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-23
Latest Update: 2023-02-16
Description:
Extends the functionality of other plotting packages like 'ggplot2' and 'lattice' to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.
How to cite:
William Gearty (2021). deeptime: Plotting Tools for Anyone Working in Deep Time. R package version 2.1.0, https://cran.r-project.org/web/packages/deeptime. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-07-23 11:20), 0.2.0 (2021-09-02 09:20), 0.2.1 (2022-01-11 00:42), 0.2.2 (2022-05-18 16:00), 0.2.3 (2022-09-20 23:00), 0.3.0 (2022-11-09 09:40), 1.0.0 (2023-01-21 00:00), 1.0.1 (2023-02-16 17:40), 1.1.0 (2024-03-05 21:10), 1.1.1 (2024-03-08 18:10), 2.0.0 (2024-08-19 09:00)
Other packages that cited deeptime R package
View deeptime citation profile
Other R packages that deeptime depends, imports, suggests or enhances
Complete documentation for deeptime
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
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  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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