fix some broken and non-secure links

Author: boshek

R/tidyhydat-package.R

@@ -28,7 +28,7 @@
 #'  For more information on HYDAT and ECCC data sources 
 #'  \itemize{
 #'    \item Please see this description of the database: 
-#'    \url{https://ec.gc.ca/rhc-wsc/default.asp?n=9018B5EC-1}
+#'    \url{https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/national-archive-hydat.html}
 #'    \item This page is landing page for technical description of HYDAT:
 #'    \url{http://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/}
 #'    \item This page links to a document that outlines database table definitions:

README.Rmd

@@ -21,7 +21,7 @@ knitr::opts_chunk$set(
 [![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/tidyhydat)](https://cran.r-project.org/package=tidyhydat) [![CRAN Downloads](https://cranlogs.r-pkg.org/badges/tidyhydat?color=brightgreen)](https://CRAN.R-project.org/package=tidyhydat) [![cran checks](https://cranchecks.info/badges/worst/tidyhydat)](https://cran.r-project.org/web/checks/check_results_tidyhydat.html)
 
 
-[![](http://badges.ropensci.org/152_status.svg)](https://github.com/ropensci/onboarding/issues/152)  [![DOI](http://joss.theoj.org/papers/10.21105/joss.00511/status.svg)](https://doi.org/10.21105/joss.00511) [![DOI](https://zenodo.org/badge/100978874.svg)](https://zenodo.org/badge/latestdoi/100978874) 
+[![](http://badges.ropensci.org/152_status.svg)](https://github.com/ropensci/software-review/issues/152)  [![DOI](http://joss.theoj.org/papers/10.21105/joss.00511/status.svg)](https://doi.org/10.21105/joss.00511) [![DOI](https://zenodo.org/badge/100978874.svg)](https://zenodo.org/badge/latestdoi/100978874) 
 
 
 
@@ -35,7 +35,7 @@ This package is maintained by the Data Science and Analytics Branch of the [Brit
 - Provides functions (`hy_*`) that access hydrometric data from the HYDAT database, a national archive of Canadian hydrometric data and return tidy data.
 - Provides functions (`realtime_*`) that access Environment and Climate Change Canada's real-time hydrometric data source.
 - Provides functions (`search_*`) that can search through the approximately 7000 stations in the database and aid in generating station vectors
-- Keep functions as simple as possible. For example, for daily flows, the `hy_daily_flows()` function queries the database, *tidies* the data and returns a [tibble](http://tibble.tidyverse.org/) of daily flows.
+- Keep functions as simple as possible. For example, for daily flows, the `hy_daily_flows()` function queries the database, *tidies* the data and returns a [tibble](https://tibble.tidyverse.org/) of daily flows.
 
 ## Installation
 You can install `tidyhydat` from CRAN:

README.md

@@ -15,7 +15,7 @@ Downloads](https://cranlogs.r-pkg.org/badges/tidyhydat?color=brightgreen)](https
 [![cran
 checks](https://cranchecks.info/badges/worst/tidyhydat)](https://cran.r-project.org/web/checks/check_results_tidyhydat.html)
 
-[![](http://badges.ropensci.org/152_status.svg)](https://github.com/ropensci/onboarding/issues/152)
+[![](http://badges.ropensci.org/152_status.svg)](https://github.com/ropensci/software-review/issues/152)
 [![DOI](http://joss.theoj.org/papers/10.21105/joss.00511/status.svg)](https://doi.org/10.21105/joss.00511)
 [![DOI](https://zenodo.org/badge/100978874.svg)](https://zenodo.org/badge/latestdoi/100978874)
 
@@ -39,7 +39,7 @@ What does `tidyhydat` do?
     station vectors
 -   Keep functions as simple as possible. For example, for daily flows,
     the `hy_daily_flows()` function queries the database, *tidies* the
-    data and returns a [tibble](http://tibble.tidyverse.org/) of daily
+    data and returns a [tibble](https://tibble.tidyverse.org/) of daily
     flows.
 
 Installation
@@ -93,9 +93,9 @@ the same conventions discussed above. Using `realtime_dd()` we can
 easily select specific stations by supplying a station of interest:
 
     realtime_dd(station_number = "08LG006")
-    #>   Queried on: 2020-10-06 18:30:48 (UTC)
+    #>   Queried on: 2020-10-06 20:15:00 (UTC)
     #>   Date range: 2020-09-06 to 2020-10-06 
-    #> # A tibble: 17,508 x 8
+    #> # A tibble: 17,532 x 8
     #>    STATION_NUMBER PROV_TERR_STATE~ Date                Parameter Value Grade
     #>    <chr>          <chr>            <dttm>              <chr>     <dbl> <chr>
     #>  1 08LG006        BC               2020-09-06 08:00:00 Flow       4.01 <NA> 
@@ -108,7 +108,7 @@ easily select specific stations by supplying a station of interest:
     #>  8 08LG006        BC               2020-09-06 08:35:00 Flow       3.98 <NA> 
     #>  9 08LG006        BC               2020-09-06 08:40:00 Flow       3.98 <NA> 
     #> 10 08LG006        BC               2020-09-06 08:45:00 Flow       3.98 <NA> 
-    #> # ... with 17,498 more rows, and 2 more variables: Symbol <chr>, Code <chr>
+    #> # ... with 17,522 more rows, and 2 more variables: Symbol <chr>, Code <chr>
 
 ### Plotting
 

man/figures/README-unnamed-chunk-7-1.png

@@ -60,7 +60,7 @@ Let's break this down line by line to understand how `tidyhydat` uses tidy tools
 ```{r data_range}
 hy_stn_data_range()
 ```
-Our objective here is to filter from this data for the station that has the longest record of flow (`DATA_TYPE == "Q"`). You'll also notice this symbol `%>%` which in R is called a [pipe](http://magrittr.tidyverse.org/reference/pipe.html). In code, read it as the word *then*. So for the data_range data we want to grab the data *then* filter it by flow ("Q") in `DATA_TYPE` and then by the maximum value of `RECORD_LENGTH`:
+Our objective here is to filter from this data for the station that has the longest record of flow (`DATA_TYPE == "Q"`). You'll also notice this symbol `%>%` which in R is called a [pipe](https://magrittr.tidyverse.org/reference/pipe.html). In code, read it as the word *then*. So for the data_range data we want to grab the data *then* filter it by flow ("Q") in `DATA_TYPE` and then by the maximum value of `RECORD_LENGTH`:
 ```{r filter}
 hy_stn_data_range() %>%
   filter(DATA_TYPE == "Q", RECORD_LENGTH == max(RECORD_LENGTH))
@@ -136,7 +136,7 @@ library(ggplot2)
 library(lubridate)
 ```
 
-The pipe below finds the active station that has realtime data in the [Reference Hydrometric Basin Network](http://www.ec.gc.ca/rhc-wsc/default.asp?lang%20=En&n=E228B6E8-1) (RHBN) in the territory of Nunavut that has the longest record then grabs all the daily flow information:
+The pipe below finds the active station that has realtime data in the [Reference Hydrometric Basin Network](https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/reference-hydrometric-basin-network.html) (RHBN) in the territory of Nunavut that has the longest record then grabs all the daily flow information:
 
 ```{r}
 nunavut_stn_flows <- hy_stations() %>%

man/tidyhydat-package.Rd

@@ -37,7 +37,7 @@ prev_default <- hy_set_default_db(hy_test_db())
 
 ## Working with HYDAT tables
 
-The HYDAT database is a SQLite database, which can be accessed in R using the [dplyr](http://dplyr.tidyverse.org/) and [dbplyr](http://dbplyr.tidyverse.org/) packages. This package has simplified the connection process, so all you have to do to connect to the database is use `hy_src()`.
+The HYDAT database is a SQLite database, which can be accessed in R using the [dplyr](https://dplyr.tidyverse.org/) and [dbplyr](https://dbplyr.tidyverse.org/) packages. This package has simplified the connection process, so all you have to do to connect to the database is use `hy_src()`.
 
 ```{r}
 src <- hy_src()