diff --git a/.gitignore b/.gitignore index 9cc128b51..5e9ac9198 100644 --- a/.gitignore +++ b/.gitignore @@ -7,3 +7,4 @@ inst/doc *.history .DS_Store +.Rbuildignore~ diff --git a/DESCRIPTION b/DESCRIPTION index d67fd82c2..6d45824ce 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: recipes Title: Preprocessing Tools to Create Design Matrices -Version: 0.1.2.9001 +Version: 0.1.3 Authors@R: c( person("Max", "Kuhn", , "max@rstudio.com", c("aut", "cre")), person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"), @@ -42,7 +42,7 @@ Suggests: RANN, igraph, knitr, - rsample (>= 0.0.2.9000), + rsample (>= 0.0.2), ggplot2, rmarkdown, covr @@ -52,4 +52,3 @@ Encoding: UTF-8 LazyData: true RoxygenNote: 6.0.1 Roxygen: list(markdown = TRUE) -Remotes: topepo/rsample diff --git a/_pkgdown.yml b/_pkgdown.yml index 2a59bcc6b..f7d4d0d2c 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -31,6 +31,7 @@ reference: - step_BoxCox - step_bs - step_hyperbolic + - step_inverse - step_invlogit - step_log - step_logit @@ -73,6 +74,7 @@ reference: - step_isomap - step_kpca - step_pca + - step_pls - step_ratio - step_spatialsign - title: Step Functions - Filters @@ -104,7 +106,7 @@ reference: navbar: left: - - text: Simple Example + - text: "Simple Example" href: articles/Simple_Example.html - text: "Articles" menu: @@ -120,7 +122,7 @@ navbar: href: articles/Skipping.html - text: "Subsampling for Class Imbalances" href: articles/articles/Subsampling.html - - text: Multivariate Analysis using Partial Least Squares + - text: "Multivariate Analysis using Partial Least Squares" href: articles/articles/Multivariate_PLS.html - text: Reference href: reference/index.html diff --git a/tests/testthat/test_pls.R b/tests/testthat/test_pls.R index 83227272c..70045aa41 100644 --- a/tests/testthat/test_pls.R +++ b/tests/testthat/test_pls.R @@ -149,6 +149,7 @@ test_that('non-default values - multivariate', { test_that('non-default values - univariate', { + skip_on_cran() nondefault_uni_rec <- recipe(yield ~ N + P + K, data = tr_data) %>% step_pls( all_predictors(),