revert back to roxygen 6.1.1

DESCRIPTION

@@ -47,7 +47,7 @@ Imports:
     geonames,
     hoardr (>= 0.5.2)
 Suggests:
-    roxygen2 (>= 7.0.0),
+    roxygen2 (>= 6.1.1),
     testthat,
     knitr,
     taxize,
@@ -61,7 +61,7 @@ Suggests:
     ggmap,
     ropenaq,
     vcr (>= 0.2.2)
-RoxygenNote: 7.0.0
+RoxygenNote: 6.1.1
 X-schema.org-applicationCategory: Climate
 X-schema.org-keywords: earth, science, climate, precipitation, temperature, storm, buoy, NCDC, NOAA, tornadoe, sea ice, ISD
 X-schema.org-isPartOf: https://ropensci.org

R/buoy.R

@@ -42,15 +42,19 @@
 #' 
 #' @references <http://www.ndbc.noaa.gov/>, <http://dods.ndbc.noaa.gov/>
 #' @examples \dontrun{
+#' if (crul::ok("https://dods.ndbc.noaa.gov/thredds", timeout_ms = 1000)) {
+#' 
 #' # Get buoy station information
 #' x <- buoy_stations()
 #' # refresh stations as needed, takes a while to run
 #' # you shouldn't need to update very often
 #' # x <- buoy_stations(refresh = TRUE)
+#' if (interactive() && requireNamespace("leaflet")){
 #' library("leaflet")
-#' leaflet(data = na.omit(x)) %>%
-#'   leaflet::addTiles() %>%
-#'   leaflet::addCircles(~lon, ~lat, opacity = 0.5)
+#' z <- leaflet(data = na.omit(x))
+#' z <- leaflet::addTiles(z)
+#' leaflet::addCircles(z, ~lon, ~lat, opacity = 0.5)
+#' }
 #'
 #' # Get available buoys
 #' buoys(dataset = 'cwind')
@@ -76,6 +80,8 @@
 #' buoy(dataset = "stdmet", buoyid = "VCAF1")
 #' buoy(dataset = "stdmet", buoyid = "wplf1")
 #' buoy(dataset = "dart", buoyid = "dartu")
+#' 
+#' }
 #' }
 buoy <- function(dataset, buoyid, year = NULL, datatype = NULL, ...) {
   check4pkg("ncdf4")

R/ghcnd.R

@@ -195,8 +195,7 @@ ghcnd_search <- function(stationid, date_min = NULL, date_max = NULL,
 #' ## using dplyr
 #' library("dplyr")
 #' dat <- ghcnd(stationid = "AGE00147704")
-#' dat %>%
-#'  filter(element == "PRCP", year == 1909)
+#' filter(dat, element == "PRCP", year == 1909)
 #' 
 #' # refresh the cached file
 #' ghcnd(stationid = "AGE00147704", refresh = TRUE)

R/homr.R

@@ -55,7 +55,6 @@
 #'
 #' @examples \dontrun{
 #' homr(qid = 'COOP:046742')
-#' homr(headersOnly=TRUE, qid='TRANS:')
 #' homr(qid = ':046742')
 #' homr(qidMod='starts', qid='COOP:0467')
 #' homr(headersOnly=TRUE, state='DE')

R/isd.R

@@ -94,45 +94,47 @@
 #'   addCircles()
 #'
 #' # Get data
-#' (res <- isd(usaf="011490", wban="99999", year=1986))
-#' (res <- isd(usaf="011690", wban="99999", year=1993))
-#' (res <- isd(usaf="109711", wban=99999, year=1970))
+#' (res <- isd(usaf='011490', wban='99999', year=1986))
+#' (res <- isd(usaf='011690', wban='99999', year=1993))
+#' (res <- isd(usaf='109711', wban=99999, year=1970))
 #'
 #' # "additional" and "remarks" data sections included by default
 #' # can toggle that parameter to not include those in output, saves time
-#' (res1 <- isd(usaf="011490", wban="99999", year=1986, force = TRUE))
-#' (res2 <- isd(usaf="011490", wban="99999", year=1986, force = TRUE,
+#' (res1 <- isd(usaf='011490', wban='99999', year=1986, force = TRUE))
+#' (res2 <- isd(usaf='011490', wban='99999', year=1986, force = TRUE,
 #'   additional = FALSE))
 #'
 #' # The first time a dataset is requested takes longer
-#' system.time( isd(usaf="782680", wban="99999", year=2011) )
-#' system.time( isd(usaf="782680", wban="99999", year=2011) )
+#' system.time( isd(usaf='782680', wban='99999', year=2011) )
+#' system.time( isd(usaf='782680', wban='99999', year=2011) )
 #'
 #' # Plot data
 #' ## get data for multiple stations
-#' res1 <- isd(usaf="011690", wban="99999", year=1993)
-#' res2 <- isd(usaf="782680", wban="99999", year=2011)
-#' res3 <- isd(usaf="008415", wban="99999", year=2016)
-#' res4 <- isd(usaf="109711", wban=99999, year=1970)
+#' res1 <- isd(usaf='011690', wban='99999', year=1993)
+#' res2 <- isd(usaf='782680', wban='99999', year=2011)
+#' res3 <- isd(usaf='008415', wban='99999', year=2016)
+#' res4 <- isd(usaf='109711', wban=99999, year=1970)
 #' ## combine data
 #' library(dplyr)
 #' res_all <- bind_rows(res1, res2, res3, res4)
 #' # add date time
 #' library("lubridate")
-#' res_all$date_time <- ymd_hm(
-#'   sprintf("%s %s", as.character(res_all$date), res_all$time)
-#' )
+#' dd <- sprintf('%s %s', as.character(res_all$date), res_all$time)
+#' res_all$date_time <- ymd_hm(dd)
 #' ## remove 999's
-#' res_all <- res_all %>% filter(temperature < 900)
+#' res_all <- filter(res_all, temperature < 900)
+#' 
 #' ## plot
-#' library("ggplot2")
-#' ggplot(res_all, aes(date_time, temperature)) +
-#'   geom_line() +
-#'   facet_wrap(~usaf_station, scales = "free_x")
+#' if (interactive()) {
+#'   library(ggplot2)
+#'   ggplot(res_all, aes(date_time, temperature)) +
+#'     geom_line() +
+#'     facet_wrap(~usaf_station, scales = 'free_x')
+#' }
 #'
 #' # print progress
 #' ## note: if the file is already on your system, you'll see no progress bar
-#' (res <- isd(usaf="011690", wban="99999", year=1993, progress=TRUE))
+#' (res <- isd(usaf='011690', wban='99999', year=1993, progress=TRUE))
 #'
 #' # parallelize processing
 #' # (res <- isd(usaf=172007, wban=99999, year=2016, parallel=TRUE))