diff --git a/.DS_Store b/.DS_Store index 1d11b82..a8100be 100644 Binary files a/.DS_Store and b/.DS_Store differ diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index e24ee4e..ed0a363 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -7,7 +7,7 @@ articles: apis: apis.html audio-data-concepts: audio-data-concepts.html introduction: introduction.html -last_built: 2023-10-12T19:44Z +last_built: 2023-10-16T19:41Z urls: reference: https://abbiodiversity.github.io/wildRtrax/reference article: https://abbiodiversity.github.io/wildRtrax/articles diff --git a/vignettes/acoustic-data-wrangling.Rmd b/vignettes/acoustic-data-wrangling.Rmd index d48d7ef..8d11968 100644 --- a/vignettes/acoustic-data-wrangling.Rmd +++ b/vignettes/acoustic-data-wrangling.Rmd @@ -20,7 +20,7 @@ knitr::opts_chunk$set( comment = '#>' ) -load("book.RData") +load("package.RData") ``` ```{r setup, echo=FALSE, include=FALSE, eval=TRUE} @@ -33,7 +33,7 @@ library(tidyverse) # Start by getting everything you need Sys.setenv(WT_USERNAME = 'guest', WT_PASSWORD = 'Apple123') wt_auth() -my_report <- wt_download_report(project_id = 379, sensor_id = 'ARU', reports = "main", weather_cols = F) %>% +my_report <- wt_download_report(project_id = 605, sensor_id = 'ARU', reports = "main", weather_cols = F) %>% tibble::as_tibble() ``` diff --git a/vignettes/acoustic-pre-processing.Rmd b/vignettes/acoustic-pre-processing.Rmd index de7fbf4..3b5d22b 100644 --- a/vignettes/acoustic-pre-processing.Rmd +++ b/vignettes/acoustic-pre-processing.Rmd @@ -25,7 +25,7 @@ library(wildRtrax) library(tidyverse) # Set the directory path -load("book.RData") +load("package.RData") #save.image("book.RData") ``` @@ -156,6 +156,8 @@ wt_kaleidoscope_tags( tz, freq_bump = T) # Add a frequency buffer to the tag, e.g. 20000 kHz +songscope_tags + ``` If you've already uploaded recordings to WildTrax, scan your media using `wt_audio_scanner()` and a relative folder path. diff --git a/vignettes/apis.Rmd b/vignettes/apis.Rmd index a10da6e..43d8af1 100644 --- a/vignettes/apis.Rmd +++ b/vignettes/apis.Rmd @@ -57,12 +57,12 @@ Using the project_id number in the download summary you can then use `wt_downloa ```{r echo=TRUE, include=TRUE, eval=F, warning = FALSE, message = FALSE} # Download the project report -my_report <- wt_download_report(project_id = 379, sensor_id = 'ARU', reports = "main", weather_cols = F) %>% +my_report <- wt_download_report(project_id = 605, sensor_id = 'ARU', reports = "main", weather_cols = F) %>% tibble::as_tibble() ``` ```{r echo=F, include=F, eval=T, warning = FALSE, message = FALSE} # Download the project report -my_report <- wt_download_report(project_id = 379, sensor_id = 'ARU', reports = "main", weather_cols = F) %>% +my_report <- wt_download_report(project_id = 605, sensor_id = 'ARU', reports = "main", weather_cols = F) %>% tibble::as_tibble() ``` ```{r} @@ -100,11 +100,11 @@ WildTrax also pre-formats ARU to point count (PC) data depending on the type of ```{r, echo=T, include=T, eval=F, warning=F, message = FALSE} # As point count format -aru_as_aru <- wt_download_report(project_id = 379 , sensor_id = 'ARU', reports = "main", weather_cols = F) +aru_as_aru <- wt_download_report(project_id = 605 , sensor_id = 'ARU', reports = "main", weather_cols = F) ``` ```{r, echo=F, include=F, eval=T, warning=F, message = FALSE} # As point count format -aru_as_aru <- wt_download_report(project_id = 379, sensor_id = 'ARU', reports = "main", weather_cols = F) +aru_as_aru <- wt_download_report(project_id = 605, sensor_id = 'ARU', reports = "main", weather_cols = F) ``` ```{r} # As point count format @@ -113,11 +113,11 @@ head(aru_as_aru) ``` ```{r, echo=T, include=T, eval=F, warning=F, message = FALSE} # As ARU format -aru_as_pc <- wt_download_report(project_id = 379, sensor_id = 'PC', reports = "main", weather_cols = F) +aru_as_pc <- wt_download_report(project_id = 605, sensor_id = 'PC', reports = "main", weather_cols = F) ``` ```{r, echo=F, include=F, eval=T, warning=F, message = FALSE} # As ARU format -aru_as_pc <- wt_download_report(project_id = 379, sensor_id = 'PC', reports = "main", weather_cols = F) +aru_as_pc <- wt_download_report(project_id = 605, sensor_id = 'PC', reports = "main", weather_cols = F) ``` ```{r} # As point count format diff --git a/vignettes/book.RData b/vignettes/book.RData deleted file mode 100644 index 71ef1ae..0000000 Binary files a/vignettes/book.RData and /dev/null differ diff --git a/vignettes/package.RData b/vignettes/package.RData new file mode 100644 index 0000000..6541312 Binary files /dev/null and b/vignettes/package.RData differ