diff --git a/episodes/cell_type_annotation.Rmd b/episodes/cell_type_annotation.Rmd index 5ba3aba..d9e7e8c 100644 --- a/episodes/cell_type_annotation.Rmd +++ b/episodes/cell_type_annotation.Rmd @@ -23,7 +23,7 @@ editor_options: ## Setup ```{r chunk-opts, include=FALSE} -knitr::opts_chunk$set(echo = TRUE, cache = TRUE, message = FALSE, warning = FALSE) +knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE) library(BiocStyle) ``` diff --git a/episodes/eda_qc.Rmd b/episodes/eda_qc.Rmd index 1b7057f..769a45e 100644 --- a/episodes/eda_qc.Rmd +++ b/episodes/eda_qc.Rmd @@ -26,7 +26,7 @@ exercises: 15 # Minutes of exercises in the lesson ```{r chunk-opts, include=FALSE} rm(list = ls()) gc() -knitr::opts_chunk$set(echo = TRUE, cache = TRUE, message = FALSE, warning = FALSE) +knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE) library(BiocStyle) ``` diff --git a/episodes/intro-sce.Rmd b/episodes/intro-sce.Rmd index 36bfdfc..37a33d8 100644 --- a/episodes/intro-sce.Rmd +++ b/episodes/intro-sce.Rmd @@ -23,7 +23,7 @@ exercises: 10 # Minutes of exercises in the lesson ## Setup ```{r chunk-opts, include=FALSE} -knitr::opts_chunk$set(echo = TRUE, cache = TRUE, message = FALSE, warning = FALSE) +knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE) library(BiocStyle) ``` diff --git a/episodes/large_data.Rmd b/episodes/large_data.Rmd index d74790c..6f8fd22 100644 --- a/episodes/large_data.Rmd +++ b/episodes/large_data.Rmd @@ -22,7 +22,7 @@ exercises: 2 # Minutes of exercises in the lesson :::::::::::::::::::::::::::::::::::::::::::::::: ```{r chunk-opts, include=FALSE} -knitr::opts_chunk$set(echo = TRUE, cache = TRUE, message = FALSE, warning = FALSE) +knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE) library(BiocStyle) ``` diff --git a/episodes/multi-sample.Rmd b/episodes/multi-sample.Rmd index f88f569..ac4b548 100644 --- a/episodes/multi-sample.Rmd +++ b/episodes/multi-sample.Rmd @@ -37,7 +37,7 @@ Note that this is a paired design in which for each biological replicate (pool 3 We start by loading the data and doing a quick exploratory analysis, essentially applying the normalization and visualization techniques that we have seen in the previous lectures to all samples. ```{r chunk-opts, include=FALSE} -knitr::opts_chunk$set(echo = TRUE, cache = TRUE, message = FALSE, warning = FALSE) +knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE) library(BiocStyle) ```