2012
DOI: 10.1111/j.1095-8649.2012.03464.x
|View full text |Cite
|
Sign up to set email alerts
|

rfishbase: exploring, manipulating and visualizing FishBase data from R

Abstract: This article introduces a package that provides interactive and programmatic access to the FishBase repository. This package allows interaction with data on over 30 000 fish species in the rich statistical computing environment, R. This direct, scriptable interface to FishBase data enables better discovery and integration essential for large-scale comparative analyses. This article provides several examples to illustrate how the package works, and how it can be integrated into phylogenetics packages such as ap… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
225
0

Year Published

2013
2013
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 308 publications
(249 citation statements)
references
References 15 publications
0
225
0
Order By: Relevance
“…The second list is based on the percentage of extant species that are 'reef associated' according to FishBase (Froese and Pauly 2013), which includes fishes living on or near any shallow water, consolidated and wave-resistant structure. For each family, we calculated the percentage of extant species living on reefs using FishBase, accessed through functions in the R package rfishbase (Boettiger et al 2012). These percentages were then used to calibrate a binomial distribution for every family from which we sampled 100 times.…”
Section: Identifying Clusters Of Reef Families and Their History Of Rmentioning
confidence: 99%
“…The second list is based on the percentage of extant species that are 'reef associated' according to FishBase (Froese and Pauly 2013), which includes fishes living on or near any shallow water, consolidated and wave-resistant structure. For each family, we calculated the percentage of extant species living on reefs using FishBase, accessed through functions in the R package rfishbase (Boettiger et al 2012). These percentages were then used to calibrate a binomial distribution for every family from which we sampled 100 times.…”
Section: Identifying Clusters Of Reef Families and Their History Of Rmentioning
confidence: 99%
“…In addition to packages for phylogenetic and comparative analyses, a growing number of R packages allow users to query and access data from the web [e.g. rFISHBASE (Boettiger, Lang & Wainwright 2012), rAvis (Varela et al 2014) and paleobioDB (Varela et al 2015)], such that data associated with taxa in a given phylogeny can be obtained directly in R.…”
mentioning
confidence: 99%
“…Availability and quality of trait data varied between vertebrate group, each requiring special handling. Fish: Standard, fork, and total lengths were extracted from Fishbase using RFishbase (Boettiger et al 2012). For each fish clade, we used an allometric regression to convert all taxa to the most frequently observed length type (Gaygusuz et al 2006).…”
Section: Vertebrate Datasetmentioning
confidence: 99%