5.0.1 release

Author: cboettig

DESCRIPTION

@@ -33,7 +33,7 @@ Imports:
     httr,
     jsonlite,
     dplyr,
-    duckdbfs,
+    duckdbfs (>= 0.0.9),
     rlang,
     magrittr,
     memoise

NEWS.md

@@ -25,7 +25,8 @@ For more information on SemVer, please visit http://semver.org/.
 
 v 5.0.1
 -------
-Fix the issue faced by users in China who can't access the URL https://huggingface.co directly. When the user's ip address is detected to be in China, it will be automatically switched to the mirror URL https://hf-mirror.com
+Fix the issue faced by users in China who can't access the URL https://huggingface.co directly. 
+When the user's ip address is detected to be in China, it will be automatically switched to the mirror URL https://hf-mirror.com
 
 v 5.0.0
 -------

README.Rmd

@@ -95,7 +95,7 @@ fb_tbl("species") %>%
 
 In most tables, species are identified by `SpecCode` (as per best practices) rather than scientific names.  Multiple tables can be joined on the `SpecCode` to more fully describe a species.  
 
-To filter species by taxonomic names, use the taxa table from `load_taxa()`, which provides a joined table of taxonomy from subspecies up through Class, along with the corresponding FishBase taxon ids codes.  Here is an example workflow joining two of the spawing tables and filtering to the grouper family, _Epinephelidae_:
+To filter species by taxonomic names, use the taxa table from `load_taxa()`, which provides a joined table of taxonomy from subspecies up through Class, along with the corresponding FishBase taxon ids codes.  Here is an example workflow joining two of the spawning tables and filtering to the grouper family, _Epinephelidae_:
 
 ```{r  message=FALSE}
 library(rfishbase)

README.md

@@ -136,7 +136,7 @@ on the `SpecCode` to more fully describe a species.
 To filter species by taxonomic names, use the taxa table from
 `load_taxa()`, which provides a joined table of taxonomy from subspecies
 up through Class, along with the corresponding FishBase taxon ids codes.
-Here is an example workflow joining two of the spawing tables and
+Here is an example workflow joining two of the spawning tables and
 filtering to the grouper family, *Epinephelidae*:
 
 ``` r

inst/WORDLIST

@@ -2,6 +2,7 @@ CBinohlan
 CMD
 Collette
 Compagno
+Epinephelidae
 FAO
 FB
 FishBASE
@@ -18,13 +19,13 @@ POPCHAR
 RDB
 README
 RESTful
-RStudio
 RefNo
 SL
 SeaLifeBase
 Sealifebase
 SemVer
 SpecCode
+SpecCodes
 Stergiou
 WD
 Wmax
@@ -40,7 +41,6 @@ duckdb
 english
 et
 faoareas
-fb
 fishbase
 fishbaseapi
 fishbasethe
@@ -50,16 +50,20 @@ hotfix
 htm
 http
 https
+ip
 lengthfrequency
 memoization
 morphometrics
+name’
 popchar
 popgrowth
 poplf
 popqb
 rappdirs
 ropensci
 sealifebase
+spawing
+synonym’
 tbl
 tibble
 tmax