typos

Author: JohnMount

R/vtreat.R

@@ -585,7 +585,7 @@ prepare <- function(treatmentplan, dframe,
 #'     outcometarget = TRUE,
 #'     verbose = FALSE)
 #' 
-#' # the treatments include a score fram relating new
+#' # the treatments include a score frame relating new
 #' # derived variables to original columns
 #' treatmentsC$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')] %.>%
 #'   print(.)
@@ -780,7 +780,7 @@ prepare.treatmentplan <- function(treatmentplan, dframe,
 #'     outcometarget = TRUE,
 #'     verbose = FALSE)
 #' 
-#' # the treatments include a score fram relating new
+#' # the treatments include a score frame relating new
 #' # derived variables to original columns
 #' treatmentsC$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')] %.>%
 #'   print(.)
@@ -979,7 +979,7 @@ mkCrossFrameCExperiment <- function(dframe,varlist,
 #'     outcomename = 'y',
 #'     verbose = FALSE)
 #' 
-#' # the treatments include a score fram relating new
+#' # the treatments include a score frame relating new
 #' # derived variables to original columns
 #' treatmentsN$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')] %.>%
 #'   print(.)

README.Rmd

@@ -60,7 +60,7 @@ The preparation commands are organized as follows:
  * **Unsupervised tasks**: [`R` unsupervised example](https://github.com/WinVector/vtreat/blob/master/Examples/Unsupervised/Unsupervised.md), [`Python` unsupervised example](https://github.com/WinVector/pyvtreat/blob/master/Examples/Unsupervised/Unsupervised.md).
  * **Multinomial classification**: [`R` multinomial classification example](https://github.com/WinVector/vtreat/blob/master/Examples/Multinomial/MultinomialExample.md), [`Python` multinomial classification example](https://github.com/WinVector/pyvtreat/blob/master/Examples/Multinomial/MultinomialExample.md).
 
-In all cases: variable preperation is intended to be a "one liner."
+In all cases: variable preparation is intended to be a "one liner."
 
 These current revisions of the examples are designed to be small, yet complete.  So as a set they have some overlap, but the user can rely mostly on a single example for a single task type.
 
@@ -340,7 +340,7 @@ unpack[
   outcometarget = TRUE,
   verbose = FALSE)
 
-# the treatments include a score fram relating new
+# the treatments include a score frame relating new
 # derived variables to original columns
 treatmentsC$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')] %.>%
   knitr::kable(.)
@@ -391,7 +391,7 @@ unpack[
   outcomename = 'y',
   verbose = FALSE)
 
-# the treatments include a score fram relating new
+# the treatments include a score frame relating new
 # derived variables to original columns
 treatmentsN$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')] %.>%
   knitr::kable(.)

README.md

@@ -61,7 +61,7 @@ The preparation commands are organized as follows:
     [`Python` multinomial classification
     example](https://github.com/WinVector/pyvtreat/blob/master/Examples/Multinomial/MultinomialExample.md).
 
-In all cases: variable preperation is intended to be a “one liner.”
+In all cases: variable preparation is intended to be a “one liner.”
 
 These current revisions of the examples are designed to be small, yet
 complete. So as a set they have some overlap, but the user can rely
@@ -358,7 +358,7 @@ unpack[
   outcometarget = TRUE,
   verbose = FALSE)
 
-# the treatments include a score fram relating new
+# the treatments include a score frame relating new
 # derived variables to original columns
 treatmentsC$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')] %.>%
   knitr::kable(.)
@@ -441,7 +441,7 @@ unpack[
   outcomename = 'y',
   verbose = FALSE)
 
-# the treatments include a score fram relating new
+# the treatments include a score frame relating new
 # derived variables to original columns
 treatmentsN$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')] %.>%
   knitr::kable(.)

cran-comments.md

@@ -19,6 +19,8 @@
 
      rhub::check_for_cran()
      GhostScript NOTE is a property of the test environment, not of the package.
+     
+     devtools::check_win_devel()
 
 ## Downstream dependencies