modifications for _R_CHECK_DEPENDS_ONLY_=true

* includes cleaned up reference test output

Author: edzer

R/arith.R

@@ -19,11 +19,12 @@
 #' # affine:
 #' st_point(c(1,2)) * m + c(2,5)
 #' # world in 0-360 range:
-#' library(maps)
-#' w = st_as_sf(map('world', plot = FALSE, fill = TRUE))
-#' w2 = (st_geometry(w) + c(360,90)) %% c(360) - c(0,90)
-#' w3 = st_wrap_dateline(st_set_crs(w2 - c(180,0), 4326)) + c(180,0)
-#' plot(st_set_crs(w3, 4326), axes = TRUE)
+#' if (require(maps, quietly = TRUE)) {
+#'  w = st_as_sf(map('world', plot = FALSE, fill = TRUE))
+#'  w2 = (st_geometry(w) + c(360,90)) %% c(360) - c(0,90)
+#'  w3 = st_wrap_dateline(st_set_crs(w2 - c(180,0), 4326)) + c(180,0)
+#'  plot(st_set_crs(w3, 4326), axes = TRUE)
+#' }
 #' (mp <- st_point(c(1,2)) + st_point(c(3,4))) # MULTIPOINT (1 2, 3 4)
 #' mp - st_point(c(3,4)) # POINT (1 2)
 #' opar = par(mfrow = c(2,2), mar = c(0, 0, 1, 0))

R/bind.R

@@ -48,13 +48,14 @@ rbind.sf = function(..., deparse.level = 1) {
 #' @details If you need to \code{cbind} e.g. a \code{data.frame} to an \code{sf}, use \link{data.frame} directly and use \link{st_sf} on its result, or use \link[dplyr:bind]{bind_cols}; see examples.
 #' @examples
 #' cbind(a,b,c) # warns
-#' if (require(dplyr))
+#' if (require(dplyr, quietly = TRUE))
 #'   dplyr::bind_cols(a,b)
 #' c = st_sf(a=4, geomc = st_sfc(st_multilinestring(list(matrix(1:4,2)))), crs = crs)
 #' cbind(a,b,c, sf_column_name = "geomc")
 #' df = data.frame(x=3)
 #' st_sf(data.frame(c, df))
-#' dplyr::bind_cols(c, df)
+#' if (require(dplyr, quietly = TRUE))
+#'   dplyr::bind_cols(c, df)
 cbind.sf = function(..., deparse.level = 1, sf_column_name = NULL) {
 	# TODO: handle st_agr?
 	st_sf(data.frame(...), sf_column_name = sf_column_name)

R/crs.R

@@ -228,9 +228,7 @@ make_crs = function(x) {
 #' @name st_crs
 #' @examples
 #' sfc = st_sfc(st_point(c(0,0)), st_point(c(1,1)))
-#' library(dplyr)
-#' x = sfc %>% st_set_crs(4326) %>% st_transform(3857)
-#' x
+#' sfc %>% st_set_crs(4326) %>% st_transform(3857)
 #' @export
 st_set_crs = function(x, value) {
 	st_crs(x) = value

R/geom-transformers.R

@@ -574,9 +574,11 @@ st_node.sf = function(x) {
 #' @param ... ignored
 #' @examples
 #' sf = st_sf(a=1, geom=st_sfc(st_linestring(rbind(c(0,0),c(1,1)))), crs = 4326)
-#' seg = st_segmentize(sf, units::set_units(100, km))
-#' seg = st_segmentize(sf, units::set_units(0.01, rad))
-#' nrow(seg$geom[[1]])
+#' if (require(lwgeom, quietly = TRUE)) {
+#'  seg = st_segmentize(sf, units::set_units(100, km))
+#'  seg = st_segmentize(sf, units::set_units(0.01, rad))
+#'  nrow(seg$geom[[1]])
+#' }
 st_segmentize	= function(x, dfMaxLength, ...)
 	UseMethod("st_segmentize")
 

R/graticule.R

@@ -27,7 +27,7 @@
 #' see example.
 #' @examples
 #' library(sf)
-#' library(maps)
+#' if (require(maps, quietly = TRUE)) {
 #'
 #' usa = st_as_sf(map('usa', plot = FALSE, fill = TRUE))
 #' laea = st_crs("+proj=laea +lat_0=30 +lon_0=-95") # Lambert equal area
@@ -59,6 +59,7 @@
 #'			srt = g$angle_end[i] - 90, pos = 3, cex = .7)
 #' }))
 #' plot(usa, graticule = st_crs(4326), axes = TRUE, lon = seq(-60,-130,by=-10))
+#' }
 st_graticule = function(x = c(-180,-90,180,90), crs = st_crs(x),
 	datum = st_crs(4326), ..., lon = NULL, lat = NULL, ndiscr = 100,
 	margin = 0.001)

R/jitter.R

@@ -5,7 +5,7 @@
 #' @param factor numeric; fractional amount of jittering to be applied
 #' @details jitters coordinates with an amount such that \code{runif(1, -amount, amount)} is added to the coordinates. x- and y-coordinates are jittered independently but all coordinates of a single geometry are jittered with the same amount, meaning that the geometry shape does not change. For longlat data, a latitude correction is made such that jittering in East and North directions are identical in distance in the center of the bounding box of \code{x}.
 #' @examples
-#' nc = read_sf(system.file("gpkg/nc.gpkg", package="sf"))
+#' nc = st_read(system.file("gpkg/nc.gpkg", package="sf"))
 #' pts = st_centroid(st_geometry(nc))
 #' plot(pts)
 #' plot(st_jitter(pts, .05), add = TRUE, col = 'red')

R/join.R

@@ -105,8 +105,9 @@ st_join = function(x, y, join, ...) UseMethod("st_join")
 #' st_join(a, b, left = FALSE)
 #' # two ways to aggregate y's attribute values outcome over x's geometries:
 #' st_join(a, b) %>% aggregate(list(.$a.x), mean)
-#' library(dplyr)
-#' st_join(a, b) %>% group_by(a.x) %>% summarise(mean(a.y))
+#' if (require(dplyr, quietly = TRUE)) {
+#'  st_join(a, b) %>% group_by(a.x) %>% summarise(mean(a.y))
+#' }
 #' # example of largest = TRUE:
 #' nc <- st_transform(st_read(system.file("shape/nc.shp", package="sf")), 2264)                
 #' gr = st_sf(

R/make_grid.R

@@ -20,7 +20,7 @@
 #' # non-default offset:
 #' plot(st_make_grid(sfc, cellsize = .1, square = FALSE, offset = c(0, .05 / (sqrt(3)/2))))
 #' plot(sfc, add = TRUE)
-#' nc = read_sf(system.file("shape/nc.shp", package="sf"))
+#' nc = st_read(system.file("shape/nc.shp", package="sf"))
 #' g = st_make_grid(nc)
 #' plot(g)
 #' plot(st_geometry(nc), add = TRUE)

R/nearest.R

@@ -23,7 +23,7 @@
 #' plot(st_sfc(b2, b3), add = TRUE, col = NA, border = 'blue')
 #' plot(ls, add = TRUE, col = 'red')
 #' 
-#' nc = read_sf(system.file("gpkg/nc.gpkg", package="sf"))
+#' nc = st_read(system.file("gpkg/nc.gpkg", package="sf"))
 #' plot(st_geometry(nc))
 #' ls = st_nearest_points(nc[1,], nc)
 #' plot(ls, col = 'red', add = TRUE)

R/read.R

@@ -121,7 +121,7 @@ set_utf8 = function(x) {
 #' # spatial filter, as wkt:
 #' wkt = st_as_text(st_geometry(nc[1,]))
 #' # filter by (bbox overlaps of) first feature geometry:
-#' read_sf(system.file("gpkg/nc.gpkg", package="sf"), wkt_filter = wkt)
+#' st_read(system.file("gpkg/nc.gpkg", package="sf"), wkt_filter = wkt)
 #' @export
 st_read = function(dsn, layer, ...) UseMethod("st_read")
 
@@ -246,7 +246,7 @@ st_read.character = function(dsn, layer, ..., query = NA, options = NULL, quiet
 #' # read geojson from string:
 #' geojson_txt <- paste("{\"type\":\"MultiPoint\",\"coordinates\":",
 #'    "[[3.2,4],[3,4.6],[3.8,4.4],[3.5,3.8],[3.4,3.6],[3.9,4.5]]}")
-#' x = read_sf(geojson_txt)
+#' x = st_read(geojson_txt)
 #' x
 read_sf <- function(..., quiet = TRUE, stringsAsFactors = FALSE, as_tibble = TRUE) {
 	st_read(..., quiet = quiet, stringsAsFactors = stringsAsFactors, as_tibble = as_tibble)
@@ -369,12 +369,13 @@ abbreviate_shapefile_names = function(x) {
 #' nc = st_read(system.file("shape/nc.shp", package="sf"))
 #' st_write(nc, paste0(tempdir(), "/", "nc.shp"))
 #' st_write(nc, paste0(tempdir(), "/", "nc.shp"), delete_layer = TRUE) # overwrites
-#' data(meuse, package = "sp") # loads data.frame from sp
-#' meuse_sf = st_as_sf(meuse, coords = c("x", "y"), crs = 28992)
-#' # writes X and Y as columns:
-#' st_write(meuse_sf, paste0(tempdir(), "/", "meuse.csv"), layer_options = "GEOMETRY=AS_XY")
-#' st_write(meuse_sf, paste0(tempdir(), "/", "meuse.csv"), layer_options = "GEOMETRY=AS_WKT",
-#'   delete_dsn=TRUE) # overwrites
+#' if (require(sp, quietly = TRUE)) {
+#'  data(meuse, package = "sp") # loads data.frame from sp
+#'  meuse_sf = st_as_sf(meuse, coords = c("x", "y"), crs = 28992)
+#'  # writes X and Y as columns:
+#'  st_write(meuse_sf, paste0(tempdir(), "/", "meuse.csv"), layer_options = "GEOMETRY=AS_XY")
+#'  st_write(meuse_sf, paste0(tempdir(), "/", "meuse.csv"), layer_options = "GEOMETRY=AS_WKT",
+#'    delete_dsn=TRUE) # overwrites
 #' \dontrun{
 #'  library(sp)
 #'  example(meuse, ask = FALSE, echo = FALSE)
@@ -383,6 +384,7 @@ abbreviate_shapefile_names = function(x) {
 #'  demo(nc, ask = FALSE)
 #'  try(st_write(nc, "PG:dbname=postgis", "sids", layer_options = "OVERWRITE=true"))
 #' }
+#' }
 #' @export
 st_write = function(obj, dsn, layer, ...) UseMethod("st_write")