primates2017: Comparative data for 54 species of primates
In luisDVA/unheadr: Handle Data with Messy Header Rows and Broken Values
primates2017 R Documentation
Comparative data for 54 species of primates
Description
A dataset with embedded subheaders.
Usage
primates2017
Format
A data frame with 69 rows and 4 variables:
- scientific_name
scientific names, with geographic region and
taxonomic family embedded as subheaders.
- common_name
vernacular name
- red_list_status
IUCN Red List Status in January 2017
- mass_kg
mean body mass in kilograms
Source
Estrada, Alejandro, et al. "Impending extinction crisis of the
world's primates: Why primates matter." Science Advances 3.1 (2017):
e1600946. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1126/sciadv.1600946")}
luisDVA/unheadr documentation built on May 13, 2024, 8:31 p.m.
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| primates2017 | R Documentation |
Comparative data for 54 species of primates
Description
A dataset with embedded subheaders.
Usage
primates2017
Format
A data frame with 69 rows and 4 variables:
- scientific_name
scientific names, with geographic region and taxonomic family embedded as subheaders.
- common_name
vernacular name
- red_list_status
IUCN Red List Status in January 2017
- mass_kg
mean body mass in kilograms
Source
Estrada, Alejandro, et al. "Impending extinction crisis of the world's primates: Why primates matter." Science Advances 3.1 (2017): e1600946. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1126/sciadv.1600946")}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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