期刊
ECOSPHERE
卷 10, 期 1, 页码 -出版社
WILEY
DOI: 10.1002/ecs2.2567
关键词
code; ecology journal; open science; packages; R; reproducibility; statistical programming; Web of Science
类别
资金
- National Key Research and Development Project of China [2016YFC0500202]
- National Natural Science Foundation of China [41471044]
- NSERC DG
- NCEAS
The programming language R is widely used in many fields. We explored the extent of reported R use in the field of ecology using the Web of Science and text mining. We analyzed the frequencies of R packages reported in more than 60,000 peer-reviewed articles published in 30 ecology journals during a 10-yr period ending in 2017. The number of studies reported using R as their primary tool in data analysis increased linearly from 11.4% in 2008 to 58.0% in 2017. The top 10 packages reported were lme4, vegan, nlme, ape, MuMIn, MASS, mgcv, ade4, multcomp, and car. The increasing popularity of R has most likely furthered open science in ecological research because it can improve reproducibility of analyses and captures workflows when scripts and codes are included and shared. These findings may not be entirely unique to R because there are other programming languages used by ecologists, but they do strongly suggest that given the relatively high frequency of reported use of R, it is a significant component of contemporary analytics in the field of ecology.
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