Further change required when the package was renamed into data.io

R/as_dataframe.R

@@ -192,7 +192,7 @@ is.dataframe <- is_dataframe
 #}
 # Test
 #library(data.io)
-#urchin <- read("urchin_bio", package = "data")
+#urchin <- read("urchin_bio", package = "data.io")
 #class(urchin)
 #library(glue)
 #myvar <- "test"

R/data.R

@@ -12,17 +12,17 @@
 #' plot(mauna_loa)
 #'
 #' # Using read(), the dataset becomes an annotated dataframe
-#' (ml_en <- read("mauna_loa", package = "data"))
+#' (ml_en <- read("mauna_loa", package = "data.io"))
 #' class(ml_en)
 #'
 #' # Indicating lang = "EN_US" (all uppercase!) also converts temperatures
 #' # into degrees Farenheit
-#' (ml_en_us <- read("mauna_loa", package = "data", lang = "EN_US"))
-#' # Each vairable is also labelled:
+#' (ml_en_us <- read("mauna_loa", package = "data.io", lang = "EN_US"))
+#' # Each variable is also labelled:
 #' ml_en$avg_co2
 #'
 #' # The same in French:
-#'  (ml_fr <- read("mauna_loa", package = "data", lang = "fr"))
+#'  (ml_fr <- read("mauna_loa", package = "data.io", lang = "fr"))
 #'   ml_fr$avg_co2
 "mauna_loa"
 
@@ -191,7 +191,7 @@
 
 # Summary of datasets available  -----------------------------------------------
 
-#' Labelised versions of various datasets provided by 'data' or other packages
+#' Labelised versions of various datasets provided by 'data.io' or other packages
 #'
 #' Use `name <- read("data", package = "pkg", lang = "xx")` to read these
 #' datasets together with the metadata (labels, units, comments, ...).

R/data_example.R

@@ -1,10 +1,10 @@
 #' Get the path to some example datasets in this package
 #'
 #' @param path The subpath to a file inside the "extdata" subdirectory of the
-#' "data" package.
+#' "data.io" package.
 #'
 #' @description Get the full path to so example datasets included in different
-#' formats in the "data" package.
+#' formats in the "data.io" package.
 #'
 #' @return The path to the file, or "" if it is not found.
 #' @author Philippe Grosjean <[email protected]>

R/read.R

@@ -61,14 +61,14 @@
 #' # name and syntax more similar to read R datasets and datasets from files)
 #' read() # List all available datasets in your installed version of R
 #' # List datasets in one particular package
-#' read(package = "data")
+#' read(package = "data.io")
 #'
 #' # Read one dataset from this package, possibly changing its name
-#' (urchin <- read("urchin_bio", package = "data"))
+#' (urchin <- read("urchin_bio", package = "data.io"))
 #' # Same, but using labels in French
-#' (urchin <- read("urchin_bio", package = "data", lang = "fr"))
+#' (urchin <- read("urchin_bio", package = "data.io", lang = "fr"))
 #' # ... and also the levels of factors in French (note: uppercase FR)
-#' (urchin <- read("urchin_bio", package = "data", lang = "FR"))
+#' (urchin <- read("urchin_bio", package = "data.io", lang = "FR"))
 #'
 #' # Read one dataset from another package, but with labels and comments
 #' data(iris) # The R way: you got the initial datasets
@@ -279,7 +279,7 @@ sidecar_file = TRUE, fun_list = NULL, hfun = NULL, fun = NULL, ...) {
           }
           script <- trans_script(file, full_lang, main_lang, package)
           if (script == "")
-            script <- trans_script(file, full_lang, main_lang, "data")
+            script <- trans_script(file, full_lang, main_lang, "data.io")
           if (script != "") {# Source it, then run the corresponding function
             source(script, local = TRUE, chdir = TRUE, verbose = FALSE,
               encoding = lang_encoding)

R/relative_path.R

@@ -27,7 +27,7 @@
 #' relative_path("file.txt", "/Users/me/project")
 #' relative_path("~/file.txt", "/Users/me/project")
 #' relative_path("./file.txt", "/Users/me/project")
-#' relative_path(file.path(getwd(), "data", "file.txt"))
+#' relative_path(file.path(getwd(), "data.io", "file.txt"))
 #' }
 relative_path <- function(file, dir = getwd()) {
   file2 <- normalizePath(file, winslash = "/", mustWork = FALSE)