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AG Damsbo 2023-04-14 11:47:23 +02:00
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10
vignettes/Introduction.Rmd
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@ -33,7 +33,7 @@ redcapcast_meta |> gt::gt()
```
```{r}
list <-
REDCapCAST::REDCap_split(records = redcapcast_data,
REDCap_split(records = redcapcast_data,
metadata = redcapcast_meta,
forms = "repeating")
str(list)
@ -41,7 +41,7 @@ str(list)
```{r}
list <-
REDCapCAST::REDCap_split(records = redcapcast_data,
REDCap_split(records = redcapcast_data,
metadata = redcapcast_meta,
forms = "all")
str(list)
@ -49,14 +49,12 @@ 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.
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()`.
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")
# ds <- read_redcap_tables(uri = key_get("DB_URI"), token = key_get("cast_api"))
```
## Pivotting to wider format