diff --git a/inst/pages/differential_abundance.qmd b/inst/pages/differential_abundance.qmd index ce29e849..45083c2b 100644 --- a/inst/pages/differential_abundance.qmd +++ b/inst/pages/differential_abundance.qmd @@ -199,11 +199,6 @@ folder for some output files. Lastly, we prevent `Maaslin2()` to create certain plots. (Note that `Maaslin2()` prints a lot of some output which is suppressed here for convenience.) -```{r} -#| label: disable_chunks -knitr::opts_chunk$set(eval = FALSE) -``` - ```{r} #| label: run_daa_basic #| results: hide @@ -558,11 +553,6 @@ cohort). Note that a similar plot could also be used to illustrate a possible confounding effect. -```{r} -#| label: enable_chunks -knitr::opts_chunk$set(eval = TRUE) -``` - ### Differential prevalence analysis (DPA) {#sec-DPA} We show here how to perform DPA with logistic regression. We show the case diff --git a/inst/pages/integrated_learner.qmd b/inst/pages/integrated_learner.qmd index 6031ebc5..286f30e8 100644 --- a/inst/pages/integrated_learner.qmd +++ b/inst/pages/integrated_learner.qmd @@ -146,11 +146,6 @@ integrates the outputs from these individual models to make the final predictions. For "base learners" and "meta learner", we use _random forest_ and _rank loss minimization_ models, respectively. -```{r} -#| label: disable_chunks -knitr::opts_chunk$set(eval = FALSE) -``` - ```{r} #| label: fit_model diff --git a/inst/pages/mmuphin_meta_analysis.qmd b/inst/pages/mmuphin_meta_analysis.qmd index 900e66f2..dfd9466a 100644 --- a/inst/pages/mmuphin_meta_analysis.qmd +++ b/inst/pages/mmuphin_meta_analysis.qmd @@ -130,11 +130,6 @@ abundance file, which includes the study names and overall response rate (ORR) the response variable along with other metadata. By the end of this step, we obtain a batch-adjusted relative abundance matrix. -```{r} -#| label: disable_chunks -knitr::opts_chunk$set(eval = FALSE) -``` - ```{r} #| label: prepare_input_data diff --git a/inst/pages/msea.qmd b/inst/pages/msea.qmd index d42b72f6..2fdd35d8 100644 --- a/inst/pages/msea.qmd +++ b/inst/pages/msea.qmd @@ -98,11 +98,6 @@ microbial species abundance versus IBD diagnosis. The analysis method we use here is "LM", which is the default setting. We also adjust for age and antibiotic usage, following the original study. -```{r} -#| label: disable_chunks -knitr::opts_chunk$set(eval = FALSE) -``` - ```{r} #| label: fit_model_Maaslin2