Fix example

rOpenSpain · Feb 16, 2023 · 788cd21 · 788cd21
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diff --git a/.github/workflows/cran-status.yaml b/.github/workflows/cran-status.yaml
@@ -3,7 +3,7 @@ name: CRAN Status Monitor
 on:
   workflow_dispatch:
   schedule:
-    - cron: '0 10 * * 1,3,5'
+    - cron: '0 12 * * 1,3,5'
 
 jobs:
   check:
@@ -21,3 +21,4 @@ jobs:
         with:
           fail-on-error: "true"
           create-issue: "false" 
+
diff --git a/R/stripes.R b/R/stripes.R
@@ -130,7 +130,7 @@ climatestripes_station <-
 #' @return A `ggplot2` object.
 #'
 #' @examples
-#'
+#' \donttest{
 #' library(ggplot2)
 #'
 #' data <- climaemet::climaemet_9434_temp
@@ -140,6 +140,7 @@ climatestripes_station <-
 #'
 #' ggstripes(data, plot_title = "Zaragoza Airport", plot_type = "trend") +
 #'   labs(subtitle = "(1950-2020)")
+#' }
 #' @export
 
 ggstripes <-

diff --git a/README.md b/README.md
@@ -120,20 +120,20 @@ library(climaemet)
 # See a tibble in action
 
 aemet_last_obs("9434")
-#> # A tibble: 23 × 25
+#> # A tibble: 24 × 25
 #>    idema   lon fint                 prec   alt  vmax    vv    dv   lat  dmax
 #>    <chr> <dbl> <dttm>              <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1 9434  -1.00 2023-02-13 14:00:00     0   249   5.9   3.5   122  41.7   118
-#>  2 9434  -1.00 2023-02-13 15:00:00     0   249   6.5   3.3   116  41.7   108
-#>  3 9434  -1.00 2023-02-13 16:00:00     0   249   6.6   3.2   141  41.7   123
-#>  4 9434  -1.00 2023-02-13 17:00:00     0   249   5.5   3.5   140  41.7   130
-#>  5 9434  -1.00 2023-02-13 18:00:00     0   249   5     2      99  41.7   125
-#>  6 9434  -1.00 2023-02-13 19:00:00     0   249   4.9   0.9   106  41.7   345
-#>  7 9434  -1.00 2023-02-13 20:00:00     0   249   1.1   0.6   269  41.7   275
-#>  8 9434  -1.00 2023-02-13 21:00:00     0   249   1.8   1.4   189  41.7   195
-#>  9 9434  -1.00 2023-02-13 22:00:00     0   249   1.5   1     224  41.7   190
-#> 10 9434  -1.00 2023-02-13 23:00:00     0   249   2     0.7   173  41.7   185
-#> # … with 13 more rows, and 15 more variables: ubi <chr>, pres <dbl>, hr <dbl>,
+#>  1 9434  -1.00 2023-02-15 21:00:00     0   249   4.6   1.2   208  41.7   248
+#>  2 9434  -1.00 2023-02-15 22:00:00     0   249   1.5   1.1   303  41.7   315
+#>  3 9434  -1.00 2023-02-15 23:00:00     0   249   1.3   0.9   155  41.7   285
+#>  4 9434  -1.00 2023-02-16 00:00:00     0   249   1.1   0.7   302  41.7   308
+#>  5 9434  -1.00 2023-02-16 01:00:00     0   249   0.9   0.4   223  41.7   200
+#>  6 9434  -1.00 2023-02-16 02:00:00     0   249   1.5   1      89  41.7   118
+#>  7 9434  -1.00 2023-02-16 03:00:00     0   249   1.4   0.8   196  41.7   100
+#>  8 9434  -1.00 2023-02-16 04:00:00     0   249   2.1   0.8   228  41.7   360
+#>  9 9434  -1.00 2023-02-16 05:00:00     0   249   1.2   0.5    92  41.7    93
+#> 10 9434  -1.00 2023-02-16 06:00:00     0   249   1.1   0.2   346  41.7   123
+#> # … with 14 more rows, and 15 more variables: ubi <chr>, pres <dbl>, hr <dbl>,
 #> #   stdvv <dbl>, ts <dbl>, pres_nmar <dbl>, tamin <dbl>, ta <dbl>, tamax <dbl>,
 #> #   tpr <dbl>, stddv <dbl>, inso <dbl>, tss5cm <dbl>, pacutp <dbl>,
 #> #   tss20cm <dbl>
@@ -170,14 +170,14 @@ data_observation <- aemet_last_obs(station)
 knitr::kable(head(data_observation))
 ```
 
-| idema |       lon | fint                | prec | alt | vmax |  vv |  dv |      lat | dmax | ubi                 |   pres |  hr | stdvv |   ts | pres_nmar | tamin |   ta | tamax | tpr | stddv | inso | tss5cm | pacutp | tss20cm |
-|:------|----------:|:--------------------|-----:|----:|-----:|----:|----:|---------:|-----:|:--------------------|-------:|----:|------:|-----:|----------:|------:|-----:|------:|----:|------:|-----:|-------:|-------:|--------:|
-| 9434  | -1.004167 | 2023-02-13 14:00:00 |    0 | 249 |  5.9 | 3.5 | 122 | 41.66056 |  118 | ZARAGOZA AEROPUERTO | 1003.3 |  54 |   0.6 | 13.8 |    1034.0 |  10.0 | 11.6 |  11.7 | 2.7 |    14 | 60.0 |    9.7 |      0 |     5.8 |
-| 9434  | -1.004167 | 2023-02-13 15:00:00 |    0 | 249 |  6.5 | 3.3 | 116 | 41.66056 |  108 | ZARAGOZA AEROPUERTO | 1003.0 |  50 |   0.9 | 14.1 |    1033.6 |  11.6 | 12.6 |  12.6 | 2.5 |    18 | 60.0 |   10.3 |      0 |     6.3 |
-| 9434  | -1.004167 | 2023-02-13 16:00:00 |    0 | 249 |  6.6 | 3.2 | 141 | 41.66056 |  123 | ZARAGOZA AEROPUERTO | 1002.8 |  47 |   0.7 | 13.7 |    1033.4 |  12.6 | 12.8 |  12.9 | 1.7 |    15 | 60.0 |   10.4 |      0 |     6.8 |
-| 9434  | -1.004167 | 2023-02-13 17:00:00 |    0 | 249 |  5.5 | 3.5 | 140 | 41.66056 |  130 | ZARAGOZA AEROPUERTO | 1002.8 |  51 |   0.6 | 11.0 |    1033.5 |  11.8 | 11.8 |  12.9 | 1.9 |     8 | 60.0 |   10.0 |      0 |     7.2 |
-| 9434  | -1.004167 | 2023-02-13 18:00:00 |    0 | 249 |  5.0 | 2.0 |  99 | 41.66056 |  125 | ZARAGOZA AEROPUERTO | 1003.2 |  58 |   0.5 |  8.0 |    1034.0 |   9.6 | 11.3 |  11.8 | 3.4 |    68 | 23.2 |    9.2 |      0 |     7.6 |
-| 9434  | -1.004167 | 2023-02-13 19:00:00 |    0 | 249 |  4.9 | 0.9 | 106 | 41.66056 |  345 | ZARAGOZA AEROPUERTO | 1003.4 |  65 |   0.3 |  5.2 |    1034.4 |   8.3 |  8.3 |  12.4 | 2.1 |    34 |  0.0 |    8.3 |      0 |     7.8 |
+| idema |       lon | fint                | prec | alt | vmax |  vv |  dv |      lat | dmax | ubi                 |   pres |  hr | stdvv |  ts | pres_nmar | tamin |  ta | tamax | tpr | stddv | inso | tss5cm | pacutp | tss20cm |
+|:------|----------:|:--------------------|-----:|----:|-----:|----:|----:|---------:|-----:|:--------------------|-------:|----:|------:|----:|----------:|------:|----:|------:|----:|------:|-----:|-------:|-------:|--------:|
+| 9434  | -1.004167 | 2023-02-15 21:00:00 |    0 | 249 |  4.6 | 1.2 | 208 | 41.66056 |  248 | ZARAGOZA AEROPUERTO |  999.1 |  70 |   1.1 | 5.8 |    1030.2 |   6.3 | 6.4 |   7.4 | 1.3 |    47 |    0 |    8.1 |      0 |     8.8 |
+| 9434  | -1.004167 | 2023-02-15 22:00:00 |    0 | 249 |  1.5 | 1.1 | 303 | 41.66056 |  315 | ZARAGOZA AEROPUERTO |  999.8 |  71 |   0.2 | 5.0 |    1031.0 |   6.0 | 6.0 |   6.4 | 1.1 |    10 |    0 |    7.6 |      0 |     8.7 |
+| 9434  | -1.004167 | 2023-02-15 23:00:00 |    0 | 249 |  1.3 | 0.9 | 155 | 41.66056 |  285 | ZARAGOZA AEROPUERTO |  999.9 |  78 |   0.1 | 2.4 |    1031.2 |   4.9 | 4.9 |   6.0 | 1.5 |     7 |    0 |    7.1 |      0 |     8.5 |
+| 9434  | -1.004167 | 2023-02-16 00:00:00 |    0 | 249 |  1.1 | 0.7 | 302 | 41.66056 |  308 | ZARAGOZA AEROPUERTO | 1000.1 |  79 |   0.1 | 2.6 |    1031.5 |   4.0 | 4.0 |   4.9 | 0.6 |    10 |    0 |    6.6 |      0 |     8.3 |
+| 9434  | -1.004167 | 2023-02-16 01:00:00 |    0 | 249 |  0.9 | 0.4 | 223 | 41.66056 |  200 | ZARAGOZA AEROPUERTO | 1000.0 |  82 |   0.2 | 1.8 |    1031.5 |   3.1 | 3.1 |   4.0 | 0.4 |    27 |    0 |    6.1 |      0 |     8.2 |
+| 9434  | -1.004167 | 2023-02-16 02:00:00 |    0 | 249 |  1.5 | 1.0 |  89 | 41.66056 |  118 | ZARAGOZA AEROPUERTO | 1000.1 |  86 |   0.2 | 0.8 |    1031.7 |   2.4 | 2.4 |   3.1 | 0.2 |    10 |    0 |    5.7 |      0 |     8.0 |
 
 ``` r
 

diff --git a/codemeta.json b/codemeta.json
@@ -14,7 +14,7 @@
     "name": "R",
     "url": "https://r-project.org"
   },
-  "runtimePlatform": "R version 4.2.2 (2022-10-31)",
+  "runtimePlatform": "R version 4.2.2 (2022-10-31 ucrt)",
   "provider": {
     "@id": "https://cran.r-project.org",
     "@type": "Organization",
@@ -289,7 +289,7 @@
   },
   "applicationCategory": "Meteorology",
   "isPartOf": "https://ropenspain.es/",
-  "fileSize": "660.157KB",
+  "fileSize": "676.035KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",

diff --git a/data/climaemet_9434_climatogram.rda b/data/climaemet_9434_climatogram.rda
diff --git a/data/climaemet_9434_temp.rda b/data/climaemet_9434_temp.rda
diff --git a/man/figures/README-spatial-1.png b/man/figures/README-spatial-1.png
diff --git a/man/ggstripes.Rd b/man/ggstripes.Rd
diff --git a/vignettes/climaemet.Rmd b/vignettes/climaemet.Rmd
@@ -1,6 +1,6 @@
 ---
 title: "Get started with climaemet 1.0.0"
-date: 2023-02-14
+date: 2023-02-16
 author: Diego Hernangómez
 output: rmarkdown::html_vignette
 vignette: >
@@ -84,23 +84,21 @@ See how a tibble is displayed:
 # See a tibble in action
 
 aemet_last_obs("9434")
-#> # A tibble: 23 × 25
-#>    idema   lon fint                 prec   alt  vmax    vv    dv   lat  dmax
-#>    <chr> <dbl> <dttm>              <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
-#>  1 9434  -1.00 2023-02-13 14:00:00     0   249   5.9   3.5   122  41.7   118
-#>  2 9434  -1.00 2023-02-13 15:00:00     0   249   6.5   3.3   116  41.7   108
-#>  3 9434  -1.00 2023-02-13 16:00:00     0   249   6.6   3.2   141  41.7   123
-#>  4 9434  -1.00 2023-02-13 17:00:00     0   249   5.5   3.5   140  41.7   130
-#>  5 9434  -1.00 2023-02-13 18:00:00     0   249   5     2      99  41.7   125
-#>  6 9434  -1.00 2023-02-13 19:00:00     0   249   4.9   0.9   106  41.7   345
-#>  7 9434  -1.00 2023-02-13 20:00:00     0   249   1.1   0.6   269  41.7   275
-#>  8 9434  -1.00 2023-02-13 21:00:00     0   249   1.8   1.4   189  41.7   195
-#>  9 9434  -1.00 2023-02-13 22:00:00     0   249   1.5   1     224  41.7   190
-#> 10 9434  -1.00 2023-02-13 23:00:00     0   249   2     0.7   173  41.7   185
-#> # … with 13 more rows, and 15 more variables: ubi <chr>, pres <dbl>, hr <dbl>,
-#> #   stdvv <dbl>, ts <dbl>, pres_nmar <dbl>, tamin <dbl>, ta <dbl>, tamax <dbl>,
-#> #   tpr <dbl>, stddv <dbl>, inso <dbl>, tss5cm <dbl>, pacutp <dbl>,
-#> #   tss20cm <dbl>
+#> # A tibble: 24 × 25
+#>    idema   lon fint                 prec   alt  vmax    vv    dv   lat  dmax ubi         pres    hr stdvv    ts
+#>    <chr> <dbl> <dttm>              <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>      <dbl> <dbl> <dbl> <dbl>
+#>  1 9434  -1.00 2023-02-15 21:00:00     0   249   4.6   1.2   208  41.7   248 ZARAGOZA …  999.    70   1.1   5.8
+#>  2 9434  -1.00 2023-02-15 22:00:00     0   249   1.5   1.1   303  41.7   315 ZARAGOZA … 1000.    71   0.2   5  
+#>  3 9434  -1.00 2023-02-15 23:00:00     0   249   1.3   0.9   155  41.7   285 ZARAGOZA … 1000.    78   0.1   2.4
+#>  4 9434  -1.00 2023-02-16 00:00:00     0   249   1.1   0.7   302  41.7   308 ZARAGOZA … 1000.    79   0.1   2.6
+#>  5 9434  -1.00 2023-02-16 01:00:00     0   249   0.9   0.4   223  41.7   200 ZARAGOZA … 1000     82   0.2   1.8
+#>  6 9434  -1.00 2023-02-16 02:00:00     0   249   1.5   1      89  41.7   118 ZARAGOZA … 1000.    86   0.2   0.8
+#>  7 9434  -1.00 2023-02-16 03:00:00     0   249   1.4   0.8   196  41.7   100 ZARAGOZA … 1000.    87   0.1   0.4
+#>  8 9434  -1.00 2023-02-16 04:00:00     0   249   2.1   0.8   228  41.7   360 ZARAGOZA … 1000.    88   0.5   0  
+#>  9 9434  -1.00 2023-02-16 05:00:00     0   249   1.2   0.5    92  41.7    93 ZARAGOZA … 1000.    90   0.4  -0.9
+#> 10 9434  -1.00 2023-02-16 06:00:00     0   249   1.1   0.2   346  41.7   123 ZARAGOZA … 1000.    91   0.2  -1.5
+#> # … with 14 more rows, and 10 more variables: pres_nmar <dbl>, tamin <dbl>, ta <dbl>, tamax <dbl>, tpr <dbl>,
+#> #   stddv <dbl>, inso <dbl>, tss5cm <dbl>, pacutp <dbl>, tss20cm <dbl>
 ```
 
 Note that when possible, data representing dates and numbers are converted to

diff --git a/vignettes/example-gif.gif b/vignettes/example-gif.gif
diff --git a/vignettes/spatial-1.png b/vignettes/spatial-1.png