From ac807f481f8b56bc126af80237eb87646aebb7da Mon Sep 17 00:00:00 2001 From: Edoardo Mancini Date: Thu, 24 Oct 2024 07:45:29 +0000 Subject: [PATCH] #163: added sdtm.oak to publish workflow to ensure the post will render --- .github/workflows/publish.yml | 1 + posts/zzz_DO_NOT_EDIT_introducing.../introducing_sdtm.oak.qmd | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index c2022b66..2a20386e 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -52,6 +52,7 @@ jobs: riskmetric tidyCDISC mirai + sdtm.oak - name: Install tinytex run: quarto install tool tinytex diff --git a/posts/zzz_DO_NOT_EDIT_introducing.../introducing_sdtm.oak.qmd b/posts/zzz_DO_NOT_EDIT_introducing.../introducing_sdtm.oak.qmd index 3fcf39dd..3ad15f45 100644 --- a/posts/zzz_DO_NOT_EDIT_introducing.../introducing_sdtm.oak.qmd +++ b/posts/zzz_DO_NOT_EDIT_introducing.../introducing_sdtm.oak.qmd @@ -193,7 +193,7 @@ As you can see in this function call, the raw dataset and variable names are pas {sdtm.oak} is designed to handle any type of raw input format. It is not tied to any specific data collection standards, making it both EDC-agnostic and data standards-agnostic. -# Why not use {dplyr}? +# Why not use dplyr? As you can see from the definition of the algorithms, all of them are a form of {dplyr::mutate()} statement. However, these functions provide a way to pass dataset and variable names as arguments and the ability to merge with the previous step by id variables.