update internal data (#201)

* update internal data

* bump versions

* update cran comments

* dev version

Author: boshek

NEWS.md

@@ -1,4 +1,4 @@
-# tidyhydat 0.6.0.9000
+# tidyhydat 0.6.1
 - Add `...` to print methods so you can pass arguments all the way down. 
 - Add workaround for vroom#519 bug that prevents `realtime_*` fucntions from working
 

cran-comments.md

@@ -1,3 +1,24 @@
+tidyhydat 0.6.1
+=========================
+
+There were zero WARNINGS and zero ERRORS.
+
+## NEWS
+- Add `...` to print methods so you can pass arguments all the way down. 
+- Add workaround for vroom#519 bug that prevents `realtime_*` fucntions from working
+
+## Test environments
+* win-builder (via `devtools::check_win_devel()` and `devtools::check_win_release()`)
+* local macOS, R 4.3.1 (via R CMD check --as-cran)
+* ubuntu-20.04, r: 'release' (github actions)
+* ubuntu-20.04, r: 'devel' (github actions)
+* macOS,        r: 'release' (github actions)
+* windows,      r: 'release' (github actions)
+* Fedora Linux, R-devel, clang, gfortran - r-hub
+* Debian Linux, R-release, GCC (debian-gcc-release) - r-hub
+* Windows Server 2008 R2 SP1, R-devel, 32/64 bit - r-hub
+
+
 tidyhydat 0.6.0
 =========================
 

data-raw/HYDAT_internal_data/allstations.csv

@@ -1,7 +1,7 @@
 ---
 title: "tidyhydat: An Introduction"
 author: "Sam Albers"
-date: "2023-01-29"
+date: "2023-12-28"
 output:
   html_vignette:
      keep_md: true
@@ -42,7 +42,7 @@ hy_daily_flows(station_number = "08LA001")
 ```
 
 ```
-##   Queried from version of HYDAT released on 2022-10-24
+##   Queried from version of HYDAT released on 2023-11-20
 ##    Observations:                      31,351
 ##    Measurement flags:                 6,166
 ##    Parameter(s):                      Flow
@@ -63,7 +63,7 @@ hy_daily_flows(station_number = "08LA001")
 ##  8 08LA001        1914-01-08 Flow        140 <NA>  
 ##  9 08LA001        1914-01-09 Flow        140 <NA>  
 ## 10 08LA001        1914-01-10 Flow        140 <NA>  
-## # … with 31,341 more rows
+## # ℹ 31,341 more rows
 ```
 
 Another method is to use `hy_stations()` to generate your vector which is then given the `station_number` argument. For example, we could take a subset for only those active stations within Prince Edward Island (Province code:PE) and then create vector for `hy_daily_flows()`:
@@ -79,24 +79,24 @@ PEI_stns
 ```
 
 ```
-## [1] "01CA003" "01CB002" "01CB004" "01CB018" "01CC002" "01CC005" "01CC010" "01CC011"
-## [9] "01CD005"
+## [1] "01CA003" "01CB002" "01CB004" "01CB018" "01CC002"
+## [6] "01CC005" "01CC010" "01CC011" "01CD005"
 ```
 
 ```r
 hy_daily_flows(station_number = PEI_stns)
 ```
 
 ```
-##   Queried from version of HYDAT released on 2022-10-24
-##    Observations:                      115,337
-##    Measurement flags:                 20,614
+##   Queried from version of HYDAT released on 2023-11-20
+##    Observations:                      117,530
+##    Measurement flags:                 20,867
 ##    Parameter(s):                      Flow
-##    Date range:                        1961-08-01 to 2020-12-31 
+##    Date range:                        1961-08-01 to 2021-12-31 
 ##    Station(s) returned:               9
 ##    Stations requested but not returned: 
 ##     All stations returned.
-## # A tibble: 115,337 × 5
+## # A tibble: 117,530 × 5
 ##    STATION_NUMBER Date       Parameter Value Symbol
 ##    <chr>          <date>     <chr>     <dbl> <chr> 
 ##  1 01CA003        1961-08-01 Flow         NA <NA>  
@@ -109,7 +109,7 @@ hy_daily_flows(station_number = PEI_stns)
 ##  8 01CB002        1961-08-04 Flow         NA <NA>  
 ##  9 01CA003        1961-08-05 Flow         NA <NA>  
 ## 10 01CB002        1961-08-05 Flow         NA <NA>  
-## # … with 115,327 more rows
+## # ℹ 117,520 more rows
 ```
 
 We can also merge our station choice and data extraction into one unified pipe which accomplishes a single goal. For example if for some reason we wanted all the stations in Canada that had the name "Canada" in them we unify that selection and data extraction process into a single pipe:
@@ -121,15 +121,15 @@ search_stn_name("canada") %>%
 ```
 
 ```
-##   Queried from version of HYDAT released on 2022-10-24
-##    Observations:                      86,147
-##    Measurement flags:                 26,222
+##   Queried from version of HYDAT released on 2023-11-20
+##    Observations:                      87,669
+##    Measurement flags:                 26,754
 ##    Parameter(s):                      Flow
-##    Date range:                        1918-08-01 to 2022-06-30 
+##    Date range:                        1918-08-01 to 2023-05-31 
 ##    Station(s) returned:               7
 ##    Stations requested but not returned: 
 ##     All stations returned.
-## # A tibble: 86,147 × 5
+## # A tibble: 87,669 × 5
 ##    STATION_NUMBER Date       Parameter Value Symbol
 ##    <chr>          <date>     <chr>     <dbl> <chr> 
 ##  1 01AK001        1918-08-01 Flow      NA    <NA>  
@@ -142,7 +142,7 @@ search_stn_name("canada") %>%
 ##  8 01AK001        1918-08-08 Flow       1.78 <NA>  
 ##  9 01AK001        1918-08-09 Flow       1.5  <NA>  
 ## 10 01AK001        1918-08-10 Flow       1.78 <NA>  
-## # … with 86,137 more rows
+## # ℹ 87,659 more rows
 ```
 
 We saw above that if we were only interested in a subset of dates we could use the `start_date` and `end_date` arguments. A date must be supplied to both these arguments in the form of YYYY-MM-DD. If you were interested in all daily flow data from station number "08LA001" for 1981, you would specify all days in 1981 :
@@ -196,18 +196,18 @@ search_stn_name("liard")
 
 ```
 ## # A tibble: 9 × 5
-##   STATION_NUMBER STATION_NAME                      PROV_TERR_STATE_LOC LATITUDE LONGIT…¹
-##   <chr>          <chr>                             <chr>                  <dbl>    <dbl>
-## 1 10AA001        LIARD RIVER AT UPPER CROSSING     YT                      60.1    -129.
-## 2 10AA006        LIARD RIVER BELOW SCURVY CREEK    YT                      60.8    -131.
-## 3 10BE001        LIARD RIVER AT LOWER CROSSING     BC                      59.4    -126.
-## 4 10ED001        LIARD RIVER AT FORT LIARD         NT                      60.2    -123.
-## 5 10ED002        LIARD RIVER NEAR THE MOUTH        NT                      61.7    -121.
-## 6 10BE005        LIARD RIVER ABOVE BEAVER RIVER    BC                      59.7    -124.
-## 7 10BE006        LIARD RIVER ABOVE KECHIKA RIVER   BC                      59.7    -127.
-## 8 10ED008        LIARD RIVER AT LINDBERG LANDING   NT                      61.1    -123.
-## 9 10GC004        MACKENZIE RIVER ABOVE LIARD RIVER NT                      61.9    -121.
-## # … with abbreviated variable name ¹​LONGITUDE
+##   STATION_NUMBER STATION_NAME   PROV_TERR_STATE_LOC LATITUDE
+##   <chr>          <chr>          <chr>                  <dbl>
+## 1 10AA001        LIARD RIVER A… YT                      60.1
+## 2 10AA006        LIARD RIVER B… YT                      60.8
+## 3 10BE001        LIARD RIVER A… BC                      59.4
+## 4 10ED001        LIARD RIVER A… NT                      60.2
+## 5 10ED002        LIARD RIVER N… NT                      61.7
+## 6 10BE005        LIARD RIVER A… BC                      59.7
+## 7 10BE006        LIARD RIVER A… BC                      59.7
+## 8 10ED008        LIARD RIVER A… NT                      61.1
+## 9 10GC004        MACKENZIE RIV… NT                      61.9
+## # ℹ 1 more variable: LONGITUDE <dbl>
 ```
 Similarly, `search_stn_number()` can be useful if you are interested in all stations from the *08MF* sub-sub-drainage:
 
@@ -217,20 +217,20 @@ search_stn_number("08MF")
 
 ```
 ## # A tibble: 54 × 5
-##    STATION_NUMBER STATION_NAME                           PROV_TERR_STA…¹ LATIT…² LONGI…³
-##    <chr>          <chr>                                  <chr>             <dbl>   <dbl>
-##  1 08MF005        FRASER RIVER AT HOPE                   BC                 49.4   -121.
-##  2 08MF035        FRASER RIVER NEAR AGASSIZ              BC                 49.2   -122.
-##  3 08MF038        FRASER RIVER AT CANNOR                 BC                 49.1   -122.
-##  4 08MF040        FRASER RIVER ABOVE TEXAS CREEK         BC                 50.6   -122.
-##  5 08MF062        COQUIHALLA RIVER BELOW NEEDLE CREEK    BC                 49.5   -121.
-##  6 08MF065        NAHATLATCH RIVER BELOW TACHEWANA CREEK BC                 50.0   -122.
-##  7 08MF068        COQUIHALLA RIVER ABOVE ALEXANDER CREEK BC                 49.4   -121.
-##  8 08MF072        FRASER RIVER AT LAIDLAW                BC                 49.3   -122.
-##  9 08MF073        FRASER RIVER AT HARRISON MILLS         BC                 49.2   -122.
-## 10 08MF074        FRASER RIVER ABOVE HERRLING ISLAND     BC                 49.3   -122.
-## # … with 44 more rows, and abbreviated variable names ¹​PROV_TERR_STATE_LOC, ²​LATITUDE,
-## #   ³​LONGITUDE
+##    STATION_NUMBER STATION_NAME  PROV_TERR_STATE_LOC LATITUDE
+##    <chr>          <chr>         <chr>                  <dbl>
+##  1 08MF005        FRASER RIVER… BC                      49.4
+##  2 08MF040        FRASER RIVER… BC                      50.6
+##  3 08MF062        COQUIHALLA R… BC                      49.5
+##  4 08MF065        NAHATLATCH R… BC                      50.0
+##  5 08MF068        COQUIHALLA R… BC                      49.4
+##  6 08MF001        ANDERSON RIV… BC                      49.8
+##  7 08MF002        BOULDER CREE… BC                      49.3
+##  8 08MF003        COQUIHALLA R… BC                      49.4
+##  9 08MF004        FRASER RIVER… BC                      50.2
+## 10 08MF006        WAHLEACH CRE… BC                      49.3
+## # ℹ 44 more rows
+## # ℹ 1 more variable: LONGITUDE <dbl>
 ```
 
 ## Using joins 

data/allstations.rda

@@ -1,7 +1,7 @@
 ---
 title: "Two examples of using tidyhydat"
 author: "Sam Albers"
-date: "2023-01-29"
+date: "2023-12-28"
 output:
   html_vignette:
      keep_md: true
@@ -60,25 +60,26 @@ hy_stn_data_range()
 ```
 
 ```
-##   Queried from version of HYDAT released on 2022-10-24
-##    Observations:                      12,079
-##    Station(s) returned:               7,937
+##   Queried from version of HYDAT released on 2023-11-20
+##    Observations:                      12,125
+##    Station(s) returned:               7,963
 ##    Stations requested but not returned: 
 ##     All stations returned.
-## # A tibble: 12,079 × 6
-##    STATION_NUMBER DATA_TYPE SED_DATA_TYPE Year_from Year_to RECORD_LENGTH
-##    <chr>          <chr>     <chr>             <int>   <int>         <int>
-##  1 01AA002        Q         <NA>               1967    1977            11
-##  2 01AD001        Q         <NA>               1918    1997            80
-##  3 01AD002        Q         <NA>               1926    2020            95
-##  4 01AD003        H         <NA>               2011    2020            10
-##  5 01AD003        Q         <NA>               1951    2020            70
-##  6 01AD004        H         <NA>               1980    2019            35
-##  7 01AD004        Q         <NA>               1968    1979            12
-##  8 01AD005        H         <NA>               1966    1974             9
-##  9 01AD008        H         <NA>               1972    1974             3
-## 10 01AD009        H         <NA>               1973    1982            10
-## # … with 12,069 more rows
+## # A tibble: 12,125 × 6
+##    STATION_NUMBER DATA_TYPE SED_DATA_TYPE Year_from Year_to
+##    <chr>          <chr>     <chr>             <int>   <int>
+##  1 01AA002        Q         <NA>               1967    1977
+##  2 01AD001        Q         <NA>               1918    1997
+##  3 01AD002        Q         <NA>               1926    2021
+##  4 01AD003        H         <NA>               2011    2022
+##  5 01AD003        Q         <NA>               1951    2022
+##  6 01AD004        H         <NA>               1980    2021
+##  7 01AD004        Q         <NA>               1968    1979
+##  8 01AD005        H         <NA>               1966    1974
+##  9 01AD008        H         <NA>               1972    1974
+## 10 01AD009        H         <NA>               1973    1982
+## # ℹ 12,115 more rows
+## # ℹ 1 more variable: RECORD_LENGTH <int>
 ```
 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`:
 
@@ -88,15 +89,16 @@ hy_stn_data_range() %>%
 ```
 
 ```
-##   Queried from version of HYDAT released on 2022-10-24
+##   Queried from version of HYDAT released on 2023-11-20
 ##    Observations:                      1
 ##    Station(s) returned:               1
 ##    Stations requested but not returned: 
 ##     All stations returned.
 ## # A tibble: 1 × 6
-##   STATION_NUMBER DATA_TYPE SED_DATA_TYPE Year_from Year_to RECORD_LENGTH
-##   <chr>          <chr>     <chr>             <int>   <int>         <int>
-## 1 02HA003        Q         <NA>               1860    2021           162
+##   STATION_NUMBER DATA_TYPE SED_DATA_TYPE Year_from Year_to
+##   <chr>          <chr>     <chr>             <int>   <int>
+## 1 02HA003        Q         <NA>               1860    2021
+## # ℹ 1 more variable: RECORD_LENGTH <int>
 ```
 *then* pull the `STATION_NUMBER` that has the longest record:
 

data/hy_data_symbols.rda

@@ -1,7 +1,7 @@
 ---
 title: "Stepping into the HYDAT Database"
 author: "Dewey Dunnington"
-date: "2023-01-29"
+date: "2023-12-28"
 output: rmarkdown::html_vignette
 vignette: >
   %\VignetteIndexEntry{Stepping into the HYDAT Database}
@@ -38,17 +38,23 @@ To list the tables, use `src_tbls()` from the **dplyr** package.
 
 ```r
 src_tbls(src)
-#>  [1] "AGENCY_LIST"            "ANNUAL_INSTANT_PEAKS"   "ANNUAL_STATISTICS"     
-#>  [4] "CONCENTRATION_SYMBOLS"  "DATA_SYMBOLS"           "DATA_TYPES"            
-#>  [7] "DATUM_LIST"             "DLY_FLOWS"              "DLY_LEVELS"            
-#> [10] "MEASUREMENT_CODES"      "OPERATION_CODES"        "PEAK_CODES"            
-#> [13] "PRECISION_CODES"        "REGIONAL_OFFICE_LIST"   "SAMPLE_REMARK_CODES"   
-#> [16] "SED_DATA_TYPES"         "SED_DLY_LOADS"          "SED_DLY_SUSCON"        
-#> [19] "SED_SAMPLES"            "SED_SAMPLES_PSD"        "SED_VERTICAL_LOCATION" 
-#> [22] "SED_VERTICAL_SYMBOLS"   "STATIONS"               "STN_DATA_COLLECTION"   
-#> [25] "STN_DATA_RANGE"         "STN_DATUM_CONVERSION"   "STN_DATUM_UNRELATED"   
-#> [28] "STN_OPERATION_SCHEDULE" "STN_REGULATION"         "STN_REMARKS"           
-#> [31] "STN_REMARK_CODES"       "STN_STATUS_CODES"       "VERSION"
+#>  [1] "AGENCY_LIST"            "ANNUAL_INSTANT_PEAKS"  
+#>  [3] "ANNUAL_STATISTICS"      "CONCENTRATION_SYMBOLS" 
+#>  [5] "DATA_SYMBOLS"           "DATA_TYPES"            
+#>  [7] "DATUM_LIST"             "DLY_FLOWS"             
+#>  [9] "DLY_LEVELS"             "MEASUREMENT_CODES"     
+#> [11] "OPERATION_CODES"        "PEAK_CODES"            
+#> [13] "PRECISION_CODES"        "REGIONAL_OFFICE_LIST"  
+#> [15] "SAMPLE_REMARK_CODES"    "SED_DATA_TYPES"        
+#> [17] "SED_DLY_LOADS"          "SED_DLY_SUSCON"        
+#> [19] "SED_SAMPLES"            "SED_SAMPLES_PSD"       
+#> [21] "SED_VERTICAL_LOCATION"  "SED_VERTICAL_SYMBOLS"  
+#> [23] "STATIONS"               "STN_DATA_COLLECTION"   
+#> [25] "STN_DATA_RANGE"         "STN_DATUM_CONVERSION"  
+#> [27] "STN_DATUM_UNRELATED"    "STN_OPERATION_SCHEDULE"
+#> [29] "STN_REGULATION"         "STN_REMARKS"           
+#> [31] "STN_REMARK_CODES"       "STN_STATUS_CODES"      
+#> [33] "VERSION"
 ```
 
 To inspect any particular table, use the `tbl()` function with the `src` and the table name.
@@ -57,7 +63,7 @@ To inspect any particular table, use the `tbl()` function with the `src` and the
 ```r
 tbl(src, "STN_OPERATION_SCHEDULE")
 #> # Source:   table<STN_OPERATION_SCHEDULE> [?? x 5]
-#> # Database: sqlite 3.39.4 [/Users/samalbers/_dev/gh_repos/tidyhydat/inst/test_db/tinyhydat.sqlite3]
+#> # Database: sqlite 3.41.2 [/Users/samalbers/_dev/gh_repos/tidyhydat/inst/test_db/tinyhydat.sqlite3]
 #>    STATION_NUMBER DATA_TYPE  YEAR MONTH_FROM MONTH_TO
 #>    <chr>          <chr>     <int> <chr>      <chr>   
 #>  1 05AA008        H          2012 JAN        DEC     
@@ -70,7 +76,7 @@ tbl(src, "STN_OPERATION_SCHEDULE")
 #>  8 05AA008        H          2019 JAN        DEC     
 #>  9 05AA008        H          2020 JAN        DEC     
 #> 10 05AA008        Q          1910 <NA>       <NA>    
-#> # … with more rows
+#> # ℹ more rows
 ```
 
 Working with SQL tables in dplyr is much like working with regular data frames, except no data is actually read from the database until necessary. Because some of these tables are large (particularly those containing the actual data), you will want to `filter()` the tables before you `collect()` them (the `collect()` operation loads them into memory as a `data.frame`).
@@ -93,7 +99,7 @@ tbl(src, "STN_OPERATION_SCHEDULE") %>%
 #>  8 05AA008        H          2019 JAN        DEC     
 #>  9 05AA008        H          2020 JAN        DEC     
 #> 10 05AA008        Q          1910 <NA>       <NA>    
-#> # … with 93 more rows
+#> # ℹ 93 more rows
 ```
 
 When you are finished with the database (i.e., the end of the script), it is good practice to close the connection (you may get a loud red warning if you don't!).