Learnrs modules 2 & 3 ready

Author: phgrosjean

DESCRIPTION

@@ -1,5 +1,5 @@
 Package: BioDataScience3
-Version: 2025.1.0
+Version: 2025.3.0
 Title: A Series of Learnr Documents for Biological Data Science 3
 Description: Interactive documents using learnr for studying biological data science (second course).
 Authors@R: c(

NEWS.md

@@ -1,3 +1,11 @@
+# BioDataScience3 2025.3.0
+
+-   Revision of **C03La_roc** and **C03Lb_ml3** for 2025-2026.
+
+# BioDataScience3 2025.2.0
+
+-   Revision of **C02La_cv** and **C02Lb_ml2** for 2025-2026.
+
 # BioDataScience3 2025.1.0
 
 -   Revision of **C00La_refresh**, **C01La_confusion** and **C01Lb_ml1** for 2025-2026.

inst/tutorials/C02La_cv/C02La_cv.Rmd.inactivated renamed to inst/tutorials/C02La_cv/C02La_cv.Rmd

@@ -15,6 +15,41 @@ runtime: shiny_prerendered
 ```{r setup, include=FALSE}
 BioDataScience3::learnr_setup()
 SciViews::R("explore", "ml", lang = "fr")
+# Required for RSConnect
+# SciViews::R
+library(rlang)
+library(data.table)
+library(ggplot2)
+library(tibble)
+library(tidyr)
+library(dplyr)
+library(dtplyr)
+library(broom)
+library(forcats)
+library(collapse)
+library(fs)
+library(data.trame)
+library(svFast)
+library(svTidy)
+library(svMisc)
+library(svBase)
+library(svFlow)
+library(data.io)
+library(chart)
+library(tabularise)
+library(SciViews)
+# ... more
+library(readxl)
+library(testthat)
+library(equatags)
+# 'explore' and 'ml' packages
+library(exploreit)
+library(mlearning)
+library(ROCR)
+library(parsnip)
+library(recipes)
+library(rsample)
+library(BioDataScience3)
 
 # Import dataset
 rice <- read("rice", package = "BioDataScience3", lang = "fr")

inst/tutorials/C02Lb_ml2/C02Lb_ml2.Rmd.inactivated renamed to inst/tutorials/C02Lb_ml2/C02Lb_ml2.Rmd

@@ -15,6 +15,41 @@ runtime: shiny_prerendered
 ```{r setup, include=FALSE}
 BioDataScience3::learnr_setup()
 SciViews::R("ml")
+# Required for RSConnect
+# SciViews::R
+library(rlang)
+library(data.table)
+library(ggplot2)
+library(tibble)
+library(tidyr)
+library(dplyr)
+library(dtplyr)
+library(broom)
+library(forcats)
+library(collapse)
+library(fs)
+library(data.trame)
+library(svFast)
+library(svTidy)
+library(svMisc)
+library(svBase)
+library(svFlow)
+library(data.io)
+library(chart)
+library(tabularise)
+library(SciViews)
+# ... more
+library(readxl)
+library(testthat)
+library(equatags)
+# 'explore' and 'ml' packages
+library(exploreit)
+library(mlearning)
+library(ROCR)
+library(parsnip)
+library(recipes)
+library(rsample)
+library(BioDataScience3)
 
 # Import dataset
 pumpkins <- read("pumpkins", package = "BioDataScience3")

inst/tutorials/C03La_roc/C03La_roc.Rmd.inactivated renamed to inst/tutorials/C03La_roc/C03La_roc.Rmd

@@ -15,6 +15,41 @@ runtime: shiny_prerendered
 ```{r setup, include=FALSE}
 BioDataScience3::learnr_setup()
 SciViews::R("ml")
+# Required for RSConnect
+# SciViews::R
+library(rlang)
+library(data.table)
+library(ggplot2)
+library(tibble)
+library(tidyr)
+library(dplyr)
+library(dtplyr)
+library(broom)
+library(forcats)
+library(collapse)
+library(fs)
+library(data.trame)
+library(svFast)
+library(svTidy)
+library(svMisc)
+library(svBase)
+library(svFlow)
+library(data.io)
+library(chart)
+library(tabularise)
+library(SciViews)
+# ... more
+library(readxl)
+library(testthat)
+library(equatags)
+# 'explore' and 'ml' packages
+library(exploreit)
+library(mlearning)
+library(ROCR)
+library(parsnip)
+library(recipes)
+library(rsample)
+library(mlbench)
 
 # Importation des données
 breast <- read("BreastCancer", package = "mlbench")

inst/tutorials/C03Lb_ml3/C03Lb_ml3.Rmd.inactivated renamed to inst/tutorials/C03Lb_ml3/C03Lb_ml3.Rmd

@@ -15,6 +15,41 @@ runtime: shiny_prerendered
 ```{r setup, include=FALSE}
 BioDataScience3::learnr_setup()
 SciViews::R("ml")
+# Required for RSConnect
+# SciViews::R
+library(rlang)
+library(data.table)
+library(ggplot2)
+library(tibble)
+library(tidyr)
+library(dplyr)
+library(dtplyr)
+library(broom)
+library(forcats)
+library(collapse)
+library(fs)
+library(data.trame)
+library(svFast)
+library(svTidy)
+library(svMisc)
+library(svBase)
+library(svFlow)
+library(data.io)
+library(chart)
+library(tabularise)
+library(SciViews)
+# ... more
+library(readxl)
+library(testthat)
+library(equatags)
+# 'explore' and 'ml' packages
+library(exploreit)
+library(mlearning)
+library(ROCR)
+library(parsnip)
+library(recipes)
+library(rsample)
+library(BioDataScience3)
 
 # Jeu de données
 dermatology <- read("dermatology", package = "BioDataScience3")