fix argument name for initial_split() (#259)

tidymodels · Apr 21, 2023 · 71b1ae9 · 71b1ae9
1 parent d36a1a2
commit 71b1ae9
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Showing 22 changed files with 22 additions and 22 deletions.
diff --git a/R/c5.R b/R/c5.R
@@ -16,7 +16,7 @@
 #'
 #' # Load data
 #' set.seed(1234)
-#' split <- initial_split(kyphosis, props = 9/10)
+#' split <- initial_split(kyphosis, prop = 9/10)
 #' spine_train <- training(split)
 #'
 #' # Create model and fit

diff --git a/R/elnet.R b/R/elnet.R
@@ -13,7 +13,7 @@
 #' library(rsample)
 #'
 #' # Load data
-#' split <- initial_split(mtcars, props = 9/10)
+#' split <- initial_split(mtcars, prop = 9/10)
 #' car_train <- training(split)
 #'
 #' # Create model and fit

diff --git a/R/kknn.R b/R/kknn.R
@@ -17,7 +17,7 @@
 #'
 #' # Load data
 #' set.seed(1234)
-#' split <- initial_split(kyphosis, props = 9/10)
+#' split <- initial_split(kyphosis, prop = 9/10)
 #' spine_train <- training(split)
 #'
 #' # Create model and fit

diff --git a/R/lm.R b/R/lm.R
@@ -12,7 +12,7 @@
 #' library(rsample)
 #'
 #' # Load data
-#' split <- initial_split(mtcars, props = 9/10)
+#' split <- initial_split(mtcars, prop = 9/10)
 #' car_train <- training(split)
 #'
 #' # Create model and fit

diff --git a/R/randomForest.R b/R/randomForest.R
@@ -18,7 +18,7 @@
 #'
 #' # Load data
 #' set.seed(1234)
-#' split <- initial_split(kyphosis, props = 9/10)
+#' split <- initial_split(kyphosis, prop = 9/10)
 #' spine_train <- training(split)
 #'
 #' # Create model and fit

diff --git a/R/ranger.R b/R/ranger.R
@@ -20,7 +20,7 @@
 #'
 #' # Load data
 #' set.seed(1234)
-#' split <- initial_split(iris, props = 9/10)
+#' split <- initial_split(iris, prop = 9/10)
 #' iris_train <- training(split)
 #'
 #' # Create model and fit

diff --git a/R/rpart.R b/R/rpart.R
@@ -16,7 +16,7 @@
 #'
 #' # Load data
 #' set.seed(1234)
-#' split <- initial_split(mtcars, props = 9/10)
+#' split <- initial_split(mtcars, prop = 9/10)
 #' car_train <- training(split)
 #'
 #' # Create model and fit

diff --git a/inst/extdata-scripts/c5.R b/inst/extdata-scripts/c5.R
@@ -5,7 +5,7 @@ suppressWarnings(suppressMessages(library(rpart)))
 
 # Load data
 set.seed(1234)
-split <- initial_split(kyphosis, props = 9/10)
+split <- initial_split(kyphosis, prop = 9/10)
 spine_train <- training(split)
 
 # Create model and fit

diff --git a/inst/extdata-scripts/elnet.R b/inst/extdata-scripts/elnet.R
@@ -3,7 +3,7 @@ suppressWarnings(suppressMessages(library(parsnip)))
 suppressWarnings(suppressMessages(library(rsample)))
 
 # Load data
-split <- initial_split(mtcars, props = 9/10)
+split <- initial_split(mtcars, prop = 9/10)
 car_train <- training(split)
 
 # Create model and fit

diff --git a/inst/extdata-scripts/kknn.R b/inst/extdata-scripts/kknn.R
@@ -5,7 +5,7 @@ suppressWarnings(suppressMessages(library(rpart)))
 
 # Load data
 set.seed(1234)
-split <- initial_split(kyphosis, props = 9/10)
+split <- initial_split(kyphosis, prop = 9/10)
 spine_train <- training(split)
 
 # Create model and fit

diff --git a/inst/extdata-scripts/lm.R b/inst/extdata-scripts/lm.R
@@ -3,7 +3,7 @@ suppressWarnings(suppressMessages(library(parsnip)))
 suppressWarnings(suppressMessages(library(rsample)))
 
 # Load data
-split <- initial_split(mtcars, props = 9/10)
+split <- initial_split(mtcars, prop = 9/10)
 car_train <- training(split)
 car_test  <- testing(split)
 

diff --git a/inst/extdata-scripts/randomForest.R b/inst/extdata-scripts/randomForest.R
@@ -5,7 +5,7 @@ suppressWarnings(suppressMessages(library(rpart)))
 
 # Load data
 set.seed(1234)
-split <- initial_split(kyphosis, props = 9/10)
+split <- initial_split(kyphosis, prop = 9/10)
 spine_train <- training(split)
 
 # Create model and fit

diff --git a/inst/extdata-scripts/ranger.R b/inst/extdata-scripts/ranger.R
@@ -4,7 +4,7 @@ suppressWarnings(suppressMessages(library(rsample)))
 
 # Load data
 set.seed(1234)
-split <- initial_split(iris, props = 9/10)
+split <- initial_split(iris, prop = 9/10)
 iris_train <- training(split)
 
 # Create model and fit

diff --git a/inst/extdata-scripts/rpart.R b/inst/extdata-scripts/rpart.R
@@ -5,7 +5,7 @@ suppressWarnings(suppressMessages(library(rpart)))
 
 # Load data
 set.seed(1234)
-split <- initial_split(mtcars, props = 9/10)
+split <- initial_split(mtcars, prop = 9/10)
 car_train <- training(split)
 
 # Create model and fit

diff --git a/inst/extdata-scripts/stanreg.R b/inst/extdata-scripts/stanreg.R
@@ -3,7 +3,7 @@ suppressWarnings(suppressMessages(library(parsnip)))
 suppressWarnings(suppressMessages(library(tidymodels)))
 
 # Load data
-split <- initial_split(mtcars, props = 9/10)
+split <- initial_split(mtcars, prop = 9/10)
 car_train <- training(split)
 car_test  <- testing(split)
 

diff --git a/man/axe-C5.0.Rd b/man/axe-C5.0.Rd
diff --git a/man/axe-elnet.Rd b/man/axe-elnet.Rd
diff --git a/man/axe-kknn.Rd b/man/axe-kknn.Rd
diff --git a/man/axe-lm.Rd b/man/axe-lm.Rd
diff --git a/man/axe-randomForest.Rd b/man/axe-randomForest.Rd
diff --git a/man/axe-ranger.Rd b/man/axe-ranger.Rd
diff --git a/man/axe-rpart.Rd b/man/axe-rpart.Rd