hello CRAN :^|

i'm all in for quality control, but some of these checks are just ridiculous..
rejecting a package b/c of typos auto-checked against an aspell dict - in a text
read by ~1% of users?? and the only workaround (whitelisting words) is not
documented, and TOTALLY overengineered?!?
going for the tech elitism awards, huh
/rant

but hey, we're on board of that train now! :}

.aspell/defaults.R

@@ -0,0 +1,4 @@
+Rd_files <- vignettes <- R_files <- description <-
+  list(encoding = "UTF-8",
+    language = "en",
+    dictionaries = c("en_stats", "opensensmapr"))

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: opensensmapr
 Type: Package
-Title: Work with Sensor Data from Opensensemap.org in R
+Title: Client for the data API of openSenseMap.org
 Version: 0.3.3
 URL: http://github.com/noerw/opensensmapR
 BugReports: http://github.com/noerw/opensensmapR/issues
@@ -23,12 +23,13 @@ Suggests:
     covr
 Authors@R: c(person("Norwin", "Roosen", role = c("aut", "cre"), email = "hello@nroo.de"),
     person("Daniel", "Nuest", role = c("ctb"), email = "daniel.nuest@uni-muenster.de", comment = c(ORCID = "0000-0003-2392-6140")))
-Description: Download data (environmental measurements, sensorstations) from the
-    API of open data sensor web platform 'opensensemap.org' for analysis in R.
-    This platform provides realtime data of more than 1500 low-cost sensor
+Description: Download environmental measurements and sensor station metadata
+    from the API of open data sensor web platform <https://opensensemap.org> for
+    analysis in R.
+    This platform provides real time data of more than 1500 low-cost sensor
     stations for PM10, PM2.5, temperature, humidity, UV-A intensity and more
     phenomena.
-    The package aims to be compatible with sf and the tidyverse, and provides
+    The package aims to be compatible with 'sf' and the 'Tidyverse', and provides
     several helper functions for data exploration and transformation.
 License: GPL (>= 2) | file LICENSE
 Encoding: UTF-8

R/box.R

@@ -27,15 +27,16 @@
 #' @seealso \code{\link{osem_box}}
 #' @export
 #' @examples
-#' # get *all* boxes available on the API
-#' b = osem_boxes()
+#' \donttest{
+#'   # get *all* boxes available on the API
+#'   b = osem_boxes()
 #'
-#' # get all boxes with grouptag 'ifgi' that are placed outdoors
-#' b = osem_boxes(grouptag = 'ifgi', exposure = 'outdoor')
-#'
-#' # get all boxes that have measured PM2.5 in the last 4 hours
-#' b = osem_boxes(date = Sys.time(), phenomenon = 'PM2.5')
+#'   # get all boxes with grouptag 'ifgi' that are placed outdoors
+#'   b = osem_boxes(grouptag = 'ifgi', exposure = 'outdoor')
 #'
+#'   # get all boxes that have measured PM2.5 in the last 4 hours
+#'   b = osem_boxes(date = Sys.time(), phenomenon = 'PM2.5')
+#' }
 osem_boxes = function (exposure = NA, model = NA, grouptag = NA,
                       date = NA, from = NA, to = NA, phenomenon = NA,
                       endpoint = osem_endpoint(),

R/measurement.R

@@ -35,9 +35,10 @@ osem_measurements = function (x, ...) UseMethod('osem_measurements')
 #' @describeIn osem_measurements Get measurements from \strong{all} senseBoxes.
 #' @export
 #' @examples
-#' # get measurements from all boxes
-#' m1 = osem_measurements('Windrichtung')
-#'
+#' \donttest{
+#'   # get measurements from all boxes
+#'   m1 = osem_measurements('Windrichtung')
+#' }
 osem_measurements.default = function (x, ...) {
   bbox = structure(c(-180, -90, 180, 90), class = 'bbox')
   osem_measurements(bbox, x, ...)
@@ -48,14 +49,15 @@ osem_measurements.default = function (x, ...) {
 #' @describeIn osem_measurements Get measurements by a spatial filter.
 #' @export
 #' @examples
-#' # get measurements from sensors within a bounding box
-#' bbox = structure(c(7, 51, 8, 52), class = 'bbox')
-#' m2 = osem_measurements(bbox, 'Temperatur')
-#'
-#' points = sf::st_multipoint(matrix(c(7.5, 7.8, 51.7, 52), 2, 2))
-#' bbox2 = sf::st_bbox(points)
-#' m3 = osem_measurements(bbox2, 'Temperatur', exposure = 'outdoor')
+#' \donttest{
+#'   # get measurements from sensors within a bounding box
+#'   bbox = structure(c(7, 51, 8, 52), class = 'bbox')
+#'   m2 = osem_measurements(bbox, 'Temperatur')
 #'
+#'   points = sf::st_multipoint(matrix(c(7.5, 7.8, 51.7, 52), 2, 2))
+#'   bbox2 = sf::st_bbox(points)
+#'   m3 = osem_measurements(bbox2, 'Temperatur', exposure = 'outdoor')
+#' }
 osem_measurements.bbox = function (x, phenomenon, exposure = NA,
                                    from = NA, to = NA, columns = NA,
                                    ...,
@@ -73,14 +75,15 @@ osem_measurements.bbox = function (x, phenomenon, exposure = NA,
 #' @describeIn osem_measurements Get measurements from a set of senseBoxes.
 #' @export
 #' @examples
-#' # get measurements from a set of boxes
-#' b = osem_boxes(grouptag = 'ifgi')
-#' m4 = osem_measurements(b, phenomenon = 'Temperatur')
-#'
-#' # ...or a single box
-#' b = osem_box('57000b8745fd40c8196ad04c')
-#' m5 = osem_measurements(b, phenomenon = 'Temperatur')
+#' \donttest{
+#'   # get measurements from a set of boxes
+#'   b = osem_boxes(grouptag = 'ifgi')
+#'   m4 = osem_measurements(b, phenomenon = 'Temperatur')
 #'
+#'   # ...or a single box
+#'   b = osem_box('57000b8745fd40c8196ad04c')
+#'   m5 = osem_measurements(b, phenomenon = 'Temperatur')
+#' }
 osem_measurements.sensebox = function (x, phenomenon, exposure = NA,
                                        from = NA, to = NA, columns = NA,
                                        ...,

R/phenomena.R

@@ -24,9 +24,10 @@ osem_phenomena = function (boxes) UseMethod('osem_phenomena')
 #' )
 #'
 #' # get phenomena with at least 30 sensors on opensensemap
-#' phenoms = osem_phenomena(osem_boxes())
-#' names(phenoms[phenoms > 29])
-#'
+#' \donttest{
+#'   phenoms = osem_phenomena(osem_boxes())
+#'   names(phenoms[phenoms > 29])
+#' }
 osem_phenomena.sensebox = function (boxes) {
   p = Reduce(`c`, boxes$phenomena) %>% # get all the row contents in a single vector
     table() %>%                    # get count for each phenomenon

README.md

@@ -7,18 +7,26 @@ The package aims to be compatible with sf and the tidyverse.
 
 ## Installation
 
-Right now, the package is not on CRAN. To install it from GitHub, run:
+The package is available on CRAN, install it via
+
+```r
+install.packages('opensensmapr')
+```
+
+To install the veryy latest from GitHub, run:
 
 ```r
 install.packages('devtools')
-devtools::install_github('noerw/opensensmapr')
+devtools::install_github('noerw/opensensmapr@master')      # latest stable version
+devtools::install_github('noerw/opensensmapr@development') # bleeding edge version
 ```
 
 ## Usage
 
-A verbose usage example is shown in the vignette [`osem-intro`](https://noerw.github.com/opensensmapR/inst/doc/osem-intro.html).
-Each functions documentation can be viewed with `?<function-name>`.
+Each function's documentation can be viewed with `?<function-name>`.
 An overview is given in `?opensensmapr`.
+A verbose usage example is shown in the vignette [`osem-intro`](https://noerw.github.com/opensensmapR/inst/doc/osem-intro.html).
+
 In short, the following pseudocode shows the main functions for data retrieval:
 
 ```r
@@ -46,16 +54,11 @@ Additionally there are some helpers: `summary.sensebox(), plot.sensebox(), st_as
 
 This project adheres to semantic versioning, for changes in recent versions please consult [CHANGES.md](CHANGES.md).
 
-## FAQ
+## Contributing & Development
 
-- *Whats up with that package name?* idk, the R people seem to [enjoy][1] [dropping][2] [vovels][3] so..
-Unfortunately I couldn't fit the naming convention to drop an `y` in there.
-
-[1]: https://github.com/tidyverse/readr
-[2]: https://github.com/tidyverse/dplyr
-[3]: https://github.com/tidyverse/tidyr
-
-## Development
+Contributions are very welcome!
+When submitting a patch, please follow the existing [code style](.lintr),
+and run `R CMD check --no-vignettes .` on the package.
 
 Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md).
 By participating in this project you agree to abide by its terms.

man/opensensmapr.Rd

@@ -92,7 +92,7 @@ openSenseMap API: \url{https://api.opensensemap.org/}
 official openSenseMap API documentation: \url{https://docs.opensensemap.org/}
 }
 \author{
-\strong{Maintainer}: Norwin Roosen \email{bugs@nroo.de}
+\strong{Maintainer}: Norwin Roosen \email{hello@nroo.de}
 
 Other contributors:
 \itemize{

man/osem_boxes.Rd

@@ -41,15 +41,16 @@ Note that some filters do not work together:
 }
 }
 \examples{
-# get *all* boxes available on the API
-b = osem_boxes()
+\donttest{
+  # get *all* boxes available on the API
+  b = osem_boxes()
 
-# get all boxes with grouptag 'ifgi' that are placed outdoors
-b = osem_boxes(grouptag = 'ifgi', exposure = 'outdoor')
-
-# get all boxes that have measured PM2.5 in the last 4 hours
-b = osem_boxes(date = Sys.time(), phenomenon = 'PM2.5')
+  # get all boxes with grouptag 'ifgi' that are placed outdoors
+  b = osem_boxes(grouptag = 'ifgi', exposure = 'outdoor')
 
+  # get all boxes that have measured PM2.5 in the last 4 hours
+  b = osem_boxes(date = Sys.time(), phenomenon = 'PM2.5')
+}
 }
 \seealso{
 \href{https://docs.opensensemap.org/#api-Measurements-findAllBoxes}{openSenseMap API documentation (web)}

man/osem_measurements.Rd

@@ -62,25 +62,28 @@ a bounding box spanning the whole world.
 }}
 
 \examples{
-# get measurements from all boxes
-m1 = osem_measurements('Windrichtung')
+\donttest{
+  # get measurements from all boxes
+  m1 = osem_measurements('Windrichtung')
+}
+\donttest{
+  # get measurements from sensors within a bounding box
+  bbox = structure(c(7, 51, 8, 52), class = 'bbox')
+  m2 = osem_measurements(bbox, 'Temperatur')
 
-# get measurements from sensors within a bounding box
-bbox = structure(c(7, 51, 8, 52), class = 'bbox')
-m2 = osem_measurements(bbox, 'Temperatur')
-
-points = sf::st_multipoint(matrix(c(7.5, 7.8, 51.7, 52), 2, 2))
-bbox2 = sf::st_bbox(points)
-m3 = osem_measurements(bbox2, 'Temperatur', exposure = 'outdoor')
-
-# get measurements from a set of boxes
-b = osem_boxes(grouptag = 'ifgi')
-m4 = osem_measurements(b, phenomenon = 'Temperatur')
-
-# ...or a single box
-b = osem_box('57000b8745fd40c8196ad04c')
-m5 = osem_measurements(b, phenomenon = 'Temperatur')
+  points = sf::st_multipoint(matrix(c(7.5, 7.8, 51.7, 52), 2, 2))
+  bbox2 = sf::st_bbox(points)
+  m3 = osem_measurements(bbox2, 'Temperatur', exposure = 'outdoor')
+}
+\donttest{
+  # get measurements from a set of boxes
+  b = osem_boxes(grouptag = 'ifgi')
+  m4 = osem_measurements(b, phenomenon = 'Temperatur')
 
+  # ...or a single box
+  b = osem_box('57000b8745fd40c8196ad04c')
+  m5 = osem_measurements(b, phenomenon = 'Temperatur')
+}
 }
 \seealso{
 \href{https://docs.opensensemap.org/#api-Measurements-getDataMulti}{openSenseMap API documentation (web)}

man/osem_phenomena.Rd

@@ -35,9 +35,10 @@ osem_phenomena(
 )
 
 # get phenomena with at least 30 sensors on opensensemap
-phenoms = osem_phenomena(osem_boxes())
-names(phenoms[phenoms > 29])
-
+\donttest{
+  phenoms = osem_phenomena(osem_boxes())
+  names(phenoms[phenoms > 29])
+}
 }
 \seealso{
 \code{\link{osem_boxes}}