The tidyverse aspires to consistency on multiple levels. Examples of “micro”-level consistency include the convention of having variable names glide along in snake_case, and the signatures of tidyverse functions follow a regular pattern. (The first formal argument is always a data frame that pro...
In R, almost all of your data will be stored as a vector. Even if your vector holds a single value it is still considered to be a vector by R. This is unlike many other languages, and getting comfortable “thinking for the whole vector” can gain you efficiencies from several viewpoints...
A wide range of different measures of utterance fluency have been considered in the development of such systems, including novel measures not seen in the wider Second Language Acquisition (SLA) literature in which fluency is measured (e.g. the task- based language teaching and study abroad ...
The ongoing vegetational change on the Tibetan Plateau, where pastoralism has been the predominant way of life, is of regional and global importance. Although recent influential research suggests that the vegetation on the Tibetan Plateau has been greening, or improving, local yak herders in Nagchu ...
According to CRAN, there are nearly 20,000 R packages available. Some of these packages have risen to prominence in their own right, including the Tidyverse. You can learn more about R packages and how to install them in a separate guide. The R Tidyverse There’s a good chance that if...
文章中主要是使用的是tidyverse这个包,那么就可以与《R 语言编程— 基于tidyverse》这本书一起看啦。 中文版,对我们来说更容易理解。 小杜的生信筆記 ,主要发表或收录生物信息学的教程,以及基于R的分析和可视化(包括数据分析,图形绘制等);分享感兴趣的文献和学习资料!
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
A feature that all programming communities have in common is the numerous debates about why their programming language of choice is better, more advanced, faster, holier etc. In today's data science community, it seems as if these discussions are omnipresent with advocates of SAS, SPSS, R, ...
library(sf) #> Linking to GEOS 3.11.2, GDAL 3.6.2, PROJ 9.2.0; sf_use_s2() is TRUE #install.packages("stars") library(stars) #> Lade nötiges Paket: abind library(tidyverse) # read stars rast_stars <- read_stars("https://data.worldpop.org/GIS/AgeSex_structures/Global_2000_202...
This manuscript, including all tables and figures summarizing data were generated using computationally reproducible methods [18,19] in R version 4.4.0 (2024-04-24 ucrt) [20], with R Studio [21] and R Markdown [22]. Packages used in the code for this manuscript include tidyverse [23], ...