documentation improvements, spell-checking

DESCRIPTION

@@ -40,10 +40,10 @@ Imports:
     kableExtra,
     tibble,
     readxl,
-    rlang,
     assertthat,
     glue,
-    tidyselect
+    tidyselect,
+    rlang
 Suggests: 
     testthat,
     rmarkdown,
@@ -52,7 +52,7 @@ Suggests:
     roxyglobals
 Depends: R(>= 3.5.0)
 VignetteBuilder: knitr
-Language: en-GB
+Language: en-US
 Roxygen: list(roclets = c("collate", "namespace", "rd",
     "roxyglobals::global_roclet"))
 Config/roxyglobals/filename: globals.R

NAMESPACE

@@ -74,7 +74,6 @@ importFrom(knitr,kable)
 importFrom(lubridate,year)
 importFrom(magrittr,"%>%")
 importFrom(readxl,read_excel)
-importFrom(rlang,.data)
 importFrom(rlang,set_names)
 importFrom(tibble,rownames_to_column)
 importFrom(tibble,tibble)

R/airpol_get.R

@@ -39,7 +39,7 @@
 #' @importFrom glue glue
 #' @importFrom assertthat assert_that
 #' @importFrom eurostat get_eurostat
-#' @importFrom rlang .data
+
 #' @param data_directory Defaults to \code{NULL}, if a valid directory, it will 
 #' try to save the pre-processed data file here with labelling. 
 #' @param force_download Defaults to \code{TRUE}. If \code{FALSE} it will use the existing downloaded file

R/employment_get.R

@@ -23,7 +23,7 @@
 #' @importFrom dplyr filter select mutate left_join rename ungroup summarize group_by
 #' @importFrom tidyr spread
 #' @importFrom eurostat get_eurostat
-#' @importFrom rlang .data
+
 #' @source Eurostat statistic 
 #' \href{https://ec.europa.eu/eurostat/web/products-datasets/-/lfsq_egan22d}{Employment 
 #' by sex, age and detailed economic activity (from 2008 onwards, NACE Rev. 2 two digit level) - 1 000}

R/get_saved_table.R

@@ -1,7 +1,7 @@
 #' @title Get an input-output table from a downloaded bulk file
 #' @importFrom dplyr distinct across left_join rename select any_of
 #' @importFrom tidyr pivot_wider unnest
-#' @importFrom rlang .data
+
 #' @keywords internal
 get_saved_table <- function (labelled_io_data, 
                              geo, 
@@ -21,7 +21,7 @@ get_saved_table <- function (labelled_io_data,
 #' @rdname get_saved_table
 #' @importFrom assertthat assert_that
 #' @importFrom dplyr filter
-#' @importFrom rlang .data
+
 #' @keywords internal
 find_saved_table <- function(labelled_io_data, geo, unit, year, stk_flow) {
   geo_input <- geo

R/globals.R

@@ -4,14 +4,17 @@ utils::globalVariables(c(
   "iotables_col", # <airpol_get>
   "value", # <airpol_get>
   "indicator", # <airpol_get>
+  ".data", # <airpol_get>
   "nace_r2", # <airpol_get>
   "time", # <airpol_get>
   "values", # <airpol_get>
+  ".data", # <employment_get>
   "nace_r2", # <employment_get>
   "code", # <employment_get>
   "variable", # <employment_get>
   "iotables_label", # <employment_get>
   "values", # <employment_get>
+  ".data", # <iotable_get>
   "values_lab", # <iotables_download>
   "time_lab", # <iotables_download>
   "uk_col", # <order_iotable>
@@ -30,6 +33,7 @@ utils::globalVariables(c(
   "rowname", # <uk_2010_get>
   "value", # <uk_2010_get>
   ".", # <uk_2010_get>
+  ".data", # <uk_2010_get>
   "uk_col_lab", # <uk_2010_get>
   "uk_col", # <uk_2010_get>
   "uk_row_lab", # <uk_2010_get>
@@ -62,6 +66,8 @@ utils::globalVariables(c(
   "label", # <get_vocabulary_t_cols>
   "numeric_label", # <get_vocabulary_t_cols>
   "iotables_label", # <get_vocabulary_t_cols>
+  ".data", # <get_metadata_rows>
+  ".data", # <get_metadata_cols>
   "uk_row", # <get_metadata_cols>
   "uk_row_label", # <get_metadata_cols>
   "prod_na", # <get_metadata_cols>

R/input_multipliers_create.R

@@ -10,7 +10,7 @@
 #' no rounding takes place. Rounding is important if you replicate examples from the literature,
 #' rounding differences can add up to visible differences in matrix equations.
 #' @importFrom dplyr select mutate across
-#' @importFrom rlang .data
+
 #' @return A data frame with the vector of multipliers and the an 
 #' auxiliary metadata column, containing an automatically given row identifier (for joining with other matrixes) 
 #' which can be  overruled with setting \code{multiplier_name}.  

R/iotable_get.R

@@ -62,7 +62,7 @@
 #' @importFrom forcats fct_reorder
 #' @importFrom lubridate year
 #' @importFrom utils data
-#' @importFrom rlang .data
+
 #' @family iotables import functions
 #' @autoglobal
 #' @examples 

R/uk_2010_get.R

@@ -67,7 +67,7 @@ uk_2010_get <- function ( path = NULL )  {
       pivot_longer( -all_of("rowname"), names_to = "var", values_to="value") %>%
       tidyr::pivot_wider(names_from = rowname, values_from = value)  %>%
       rlang::set_names(c("remove", "uk_col", "uk_col_lab")) %>%
-      dplyr::select  ( -.data$remove ) %>%
+      dplyr::select  ( -remove ) %>%
       mutate(across(where(is.factor), as.character)) 
 
     uk_data_sheet <- readxl::read_excel ( path,

cran-comments.md

@@ -2,9 +2,10 @@
 * Windows 10, x86_64-w64-mingw32, R version 4.3.2 (2023-10-31 ucrt)
 * Ubuntu Linux 20.04.1 LTS, R-release, GCC on rhub
 * Fedora Linux, R-devel, clang, gfortran on rhub
+* r-release-macosx-arm64|4.3.0|macosx|macOS 13.3.1 (22E261)|Mac mini|Apple M1||en_US.UTF-8|macOS 11.3|clang-1403.0.22.14.1|GNU Fortran (GCC) 12.2.0 on macbuilder
 * Windows Server 2022 x64 (build 20348), R version 4.3.2 (2023-10-31 ucrt) https://win-builder.r-project.org/
 * Windows Server 2022, R-devel, 64 bit on rhub
-* Appveyor R version 4.2.1 Patched (2022-09-23 r82903 ucrt)
+* Appveyor R version  4.3.2 Patched (2023-12-19 r85721 ucrt)
 
 ## testthat results
 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 87 ]
@@ -13,4 +14,6 @@
 0 errors ✔ | 0 warnings ✔ | 0 notes ✔
 
 ## Notes
-The changes from the last CRAN release are minimal and relate to the change in Roxygen and tidyverse syntax. I received an email from CRAN about issues on various Linux platforms with documentation problems. These were related to changes in Roxygen that I fixed. I also fixed the change in tidyverse reference to the . pronoun (.data$ -> $) that gave warnings in tests.
+- I received an email from CRAN about issues on various Linux platforms with documentation problems. These were related to changes in Roxygen that I fixed. 
+- I also fixed the change in tidyverse reference to the . pronoun (.data$ -> $) that gave warnings in tests, and placing global variable definitions instead when needed.
+- On some testing environments I get an error when the example in iotables_download() examples is run. This is set not to run on CRAN, because it would download a large file from the Eurostat data warehouse. The error is caused when the no test is ignored and a larger files is downloaded then the assigned disk space for tests.

inst/WORDLIST

@@ -1,65 +1,79 @@
 AEA
+Acknowledgements
 AppVeyor
 Beutel
-CH
 CMD
+DOI
 DZS
-ESMS
+Državni
+ESA
+Eurostat
+Eurostat's
+Eurostat’s
 Fom
 GFCF
 GVA
 Ghosh
 Github
-IO
+HFCs
+Hydrofluorocarbons
 IOT
 Interindustrial
+Joerg
+Jörg
+Labelling
 Leontief
 MIO
 NAC
 NACE
-NF
-NH
 NMVOC
 NOx
+Nitrous
+ONS
+ORCID
 OSX
 PFCs
+Pre
+README
 Rbloggers
 ReadMe
-SDMX
 SIOT
 SIOTs
 SNA
 Spicosa
+Sulphur
+Tropospheric
 Zenodo
-ac
 ainah
 airpol
 alterred
-analyzed
+analyse
+analysed
 binded
-centered
 codecov
 columnn
 cp
 csv
 dataobservatory
 deqn
 detailedpubversion
+disaggregated
 doi
+downloader
 dplyr
 emp
 env
 eqn
-etc
-flavored
+fluorinated
 geocode
 gfm
 github
 halons
+hexafluoride
+https
 hydrochlorofluorocarbons
 ij
 img
-incl
 induse
 industrywise
 inputed
@@ -69,20 +83,27 @@ iotablles
 kable
 knitr
 kunas
-labor
+labelled
+labelling
+labour
 lightgrey
 magick
 magrittr
 malformatted
 metacran
+micrometre
+na
 naio
 nitroux
-nonmetallic
 occassional
-org
+onwards
+organisations
 ouput
 packageversion
+pc
 perfluorocarbons
+pre
+programmatically
 purchasers’
 pyp
 rOG
@@ -91,11 +112,13 @@ rOpenSci
 rda
 rds
 readabilty
+repo
 rlang
-ropengov
 rowwise
 solaris
+statistiku
 stk
+sulphur
 svg
 tempdir
 testthat
@@ -104,8 +127,11 @@ tibble
 tidyr
 tidyverse
 trifluoride
+ubuntu
 uk
 ukioanalyticaltablesio
 xls
 years’
+za
+zavod
 zenodo