# 目标R包寻找, package_with()通过预先设定关键词寻找相关R包,比如寻找带有“Bayes” or “MCMC” 关键词的R包 Bayesian_packages <- package_with(package_network, name = c("Bayes", "MCMC")) plot(package_network, package = Bayesian_packages, legend=FALSE)...
# devtools::install_github("metacran/cranlogs") rm(list=ls()) pacman::p_load(tidyverse,cranlogs,rvest) 紧接着,我们将从CRAN网站抓取所有可用R包的列表,包括它们的基本信息及下载量。在此过程中,我们利用了网页抓取技术,通过rvest包从CRAN网页上提取所需数据。 CRAN抓取所有可用R包 url <- "https:/...
WORDLIST /usr/lib/R/site-library/R.cache/_Rcache/README.txt /usr/lib/R/site-library/R.cache/help/AnIndex /usr/lib/R/site-library/R.cache/help/R.cache.rdb /usr/lib/R/site-library/R.cache/help/R.cache.rdx /usr/lib/R/site-library/R.cache/help/aliases.rds /usr/lib/R/site-...
package_with()通过预先设定关键词寻找相关R包,比如寻找带有“Bayes” or “MCMC” 关键词的R包 Bayesian_packages <- package_with(package_network, name = c("Bayes", "MCMC")) plot(package_network, package = Bayesian_packages, legend=FALSE) 翻译:黄小伟,先后从事社交、游戏和金融的业务场景,目前就职...
Packages that link R to other sampling engines 最后给出 CRAN 的 packages 链接和相关链接 (Related links)。可以说是满满干货!并且维护者会用一句话简单概述每个包的主要功能。以及对应每个包的链接,你可以进一步学习对应包的知识!可以说是一个宝藏网站了。
我最近开发的一个R包被CRAN接收了,发布在:https://cran.rstudio.com/web/packages/chromseq/index.html 主要参考的文章:R package:https://r-pkgs.org/index.html 实际上是很简单的一个R包,可以实现分割含不同染色体序列的fasta文件,函数也不多,就5个,代码也不复杂。
# List of all CRAN events (new, updated, archived packages) cran_events() # CRAN events (events)--- # . When Package Version Title # + 9 hours BLCOP 0.3.3 Black-Litterman and Copula Opinion... # + 9 hours stars 0.5-1 Spatiotemporal Arrays, Raster and ... # + 9 hours string...
Loads archive from CRAN-like repositories. Returns empty list for non-CRAN (i.e. flat) repositories.
matrix(元素,nrow=行数,ncol=列数,byrow=T/F默认按列填充,dimnames=list(行名,列名)) 矩阵中常用的函数 cbind() 按列合并,增加列 rbind() 按行合并,增加行 rowSums() 每行和 同理 colSums() rowMeans() colMeans() 数组 array(元素,c(每个矩阵行数,列数,矩阵个数),dimnames=list(每个矩阵的行名,...
#Load librarieslibrary(INLA)#> Loading required package: Matrix#> This is INLA_24.11.17 built 2024-11-17 09:15:42 UTC.#> - See www.r-inla.org/contact-us for how to get help.#> - List available models/likelihoods/etc with inla.list.models()#> - Use inla.doc(<NAME>) to access...