Less imports

DESCRIPTION

@@ -4,27 +4,27 @@ Version: 0.0.0.9000
 Authors@R: 
     person("Emil", "Hvitfeldt", , "[email protected]", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0002-0679-1945"))
-Description: Turning tidymodels workflows into series of equations, to allow
-    for low dependency prediction locally or in databases.
+Description: Turning tidymodels workflows into series of equations, to
+    allow for low dependency prediction locally or in databases.
 License: MIT + file LICENSE
-Encoding: UTF-8
-Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.1.9000
+URL: https://github.com/EmilHvitfeldt/orbital
+BugReports: https://github.com/EmilHvitfeldt/orbital/issues
 Imports: 
     cli,
-    recipes (>= 1.0.10.9000),
-    rlang,
-    tidypredict,
-    workflows
+    rlang
 Suggests:
     dbplyr,
-    dtplyr,
     dplyr,
+    dtplyr,
     jsonlite,
     parsnip,
-    testthat (>= 3.0.0)
-URL: https://github.com/EmilHvitfeldt/orbital
-BugReports: https://github.com/EmilHvitfeldt/orbital/issues
-Config/testthat/edition: 3
+    recipes (>= 1.0.10.9000),
+    testthat (>= 3.0.0),
+    tidypredict,
+    workflows
 Remotes:
     tidymodels/recipes
+Config/testthat/edition: 3
+Encoding: UTF-8
+Roxygen: list(markdown = TRUE)
+RoxygenNote: 7.3.1.9000

R/dt.R

@@ -4,7 +4,7 @@
 #' 
 #' @returns data.table code.
 #' 
-#' @examplesIf rlang::is_installed(c("dbplyr", "dtplyr"))
+#' @examplesIf rlang::is_installed(c("dbplyr", "dtplyr", "recipes", "tidypredict", "workflows"))
 #' 
 #' library(workflows)
 #' library(recipes)

R/inline.R

@@ -10,7 +10,7 @@
 #' 
 #' @returns a list of quosures.
 #' 
-#' @examples
+#' @examplesIf rlang::is_installed(c("recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)

R/json.R

@@ -7,7 +7,7 @@
 #' 
 #' @seealso [orbital_json_read()]
 #' 
-#' @examplesIf rlang::is_installed("jsonlite")
+#' @examplesIf rlang::is_installed(c("jsonlite", "recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)
@@ -46,7 +46,7 @@ orbital_json_write <- function(x, path) {
 #' 
 #' @seealso [orbital_json_write()]
 #' 
-#' @examplesIf rlang::is_installed("jsonlite")
+#' @examplesIf rlang::is_installed(c("jsonlite", "recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)

R/mutate.R

@@ -5,7 +5,7 @@
 #'
 #' @returns A modified data frame.
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)

R/orbital.R

@@ -5,7 +5,7 @@
 #' 
 #' @returns A orbital object.
 #' 
-#' @examples
+#' @examplesIf rlang::is_installed(c("recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)

R/predict.R

@@ -5,7 +5,7 @@
 #'
 #' @returns A modified data frame.
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)

R/sql.R

@@ -5,7 +5,7 @@
 #' 
 #' @returns SQL code.
 #' 
-#' @examplesIf rlang::is_installed("dbplyr")
+#' @examplesIf rlang::is_installed(c("dbplyr", "recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)

R/to.R

@@ -6,7 +6,7 @@
 #' 
 #' @returns A orbital object.
 #' 
-#' @examples
+#' @examplesIf rlang::is_installed(c("recipes", "tidypredict", "workflows"))
 #' library(workflows)
 #' library(recipes)
 #' library(parsnip)

tests/testthat/test-dt.R

@@ -1,6 +1,10 @@
 test_that("dt works", {
+  skip_if_not_installed("recipes")
   skip_if_not_installed("dbplyr")
   skip_if_not_installed("dtplyr")
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
+
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 

tests/testthat/test-inline.R

@@ -1,4 +1,8 @@
 test_that("orbital works with workflows - recipe", {
+  skip_if_not_installed("recipes")
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
+
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 

tests/testthat/test-json.R

@@ -1,5 +1,8 @@
 test_that("read and write json works", {
+  skip_if_not_installed("recipes")
+  skip_if_not_installed("tidypredict")
   skip_if_not_installed("jsonlite")
+  skip_if_not_installed("workflows")
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 

tests/testthat/test-orbital.R

@@ -1,4 +1,7 @@
 test_that("orbital works with workflows - recipe", {
+  skip_if_not_installed("recipes")
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 
@@ -19,6 +22,8 @@ test_that("orbital works with workflows - recipe", {
 })
 
 test_that("orbital works with workflows - formula", {
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
   lm_spec <- parsnip::linear_reg()
 
   wf_spec <- workflows::workflow() %>%
@@ -36,6 +41,8 @@ test_that("orbital works with workflows - formula", {
 })
 
 test_that("orbital works with workflows - variables", {
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
   lm_spec <- parsnip::linear_reg()
 
   wf_spec <- workflows::workflow() %>%
@@ -53,6 +60,8 @@ test_that("orbital works with workflows - variables", {
 })
 
 test_that("orbital errors on non-trained workflow", {
+  skip_if_not_installed("recipes")
+  skip_if_not_installed("workflows")
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 
@@ -67,6 +76,8 @@ test_that("orbital errors on non-trained workflow", {
 })
 
 test_that("orbital works with recipe", {
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("recipes")
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 
@@ -80,6 +91,7 @@ test_that("orbital works with recipe", {
 })
 
 test_that("orbital errors untrained recipe", {
+  skip_if_not_installed("recipes")
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 
@@ -90,6 +102,7 @@ test_that("orbital errors untrained recipe", {
 })
 
 test_that("orbital works with parsnip", {
+  skip_if_not_installed("tidypredict")
   lm_spec <- parsnip::linear_reg()
 
   lm_fit <- parsnip::fit(lm_spec, mpg ~ ., data = mtcars)
@@ -102,6 +115,7 @@ test_that("orbital works with parsnip", {
 })
 
 test_that("orbital errors on non-trained parsnip", {
+  skip_if_not_installed("parsnip")
   lm_spec <- parsnip::linear_reg()
 
   expect_snapshot(
@@ -111,6 +125,7 @@ test_that("orbital errors on non-trained parsnip", {
 })
 
 test_that("orbital errors nicely on post-processing", {
+  skip_if_not_installed("workflows")
   lm_spec <- parsnip::linear_reg()
 
   wf_spec <- workflows::workflow() %>%
@@ -136,6 +151,9 @@ test_that("orbital errors on wrong input", {
 })
 
 test_that("orbital printing works", {
+  skip_if_not_installed("recipes")
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 

tests/testthat/test-predict.R

@@ -1,4 +1,7 @@
 test_that("orbital works with workflows - recipe", {
+  skip_if_not_installed("recipes")
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())
 

tests/testthat/test-sql.R

@@ -1,5 +1,9 @@
 test_that("sql works", {
+  skip_if_not_installed("recipes")
   skip_if_not_installed("dbplyr")
+  skip_if_not_installed("tidypredict")
+  skip_if_not_installed("workflows")
+
   rec_spec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
     recipes::step_normalize(recipes::all_numeric_predictors())