renamed

vignettes/Introduction.Rmd

@@ -1,70 +0,0 @@
----
-title: "Introduction"
-output: rmarkdown::html_vignette
-vignette: >
-  %\VignetteIndexEntry{Introduction}
-  %\VignetteEngine{knitr::rmarkdown}
-  %\VignetteEncoding{UTF-8}
----
-
-```{r, include = FALSE}
-knitr::opts_chunk$set(
-  collapse = TRUE,
-  comment = "#>"
-)
-```
-
-```{r setup}
-library(REDCapCAST)
-```
-
-This vignette covers the included functions and basic functionality.
-
-A dataset and a meta data file are provided with the package for demonstration of the functions.
-
-## Splitting the dataset
-
-```{r}
-redcapcast_data |> gt::gt()
-```
-
-```{r}
-redcapcast_meta |> gt::gt()
-```
-```{r}
-list <-
-  REDCap_split(
-    records = redcapcast_data,
-    metadata = redcapcast_meta,
-    forms = "repeating"
-  ) |> 
-  sanitize_split()
-str(list)
-```
-
-```{r}
-list <-
-  REDCap_split(
-    records = redcapcast_data,
-    metadata = redcapcast_meta,
-    forms = "all"
-  ) |> 
-  sanitize_split()
-str(list)
-```
-
-## Reading data from REDCap
-
-This function wraps all the above demonstrated function to get the dataset, the metadata, apply the `REDCap_split`function and then a bit of cleaning. It just cuts outs all the steps for an easier approach.
-
-The function works very similar to the `REDCapR::redcap_read()` in allowing to specify fields, events and forms for export instead of exporting the whole database and filtering afterwards. I believe this is a better and safer, focused approach. 
-
-```{r eval=FALSE}
-# read_redcap_tables(uri = "YOUR URI", token = "YOUR TOKEN")
-```
-
-## Pivotting to wider format
-
-```{r}
-redcap_wider(list) |> str()
-```