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early version of Rmd
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ref #5
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wibeasley committed Dec 29, 2021
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---
title: REDCapR Validator Example 1 # Change this value for new validators.
date: "Date: `r Sys.time()`"
output:
html_document:
keep_md: yes
toc: yes
toc_float: true
number_sections: true
# css: ../analysis/common/styles-1.css
---


<!-- Set the working directory to the repository's base directory; this assumes the report is nested inside of three directories.-->
```{r, echo=F, message=F}
# cat("Working directory: ", getwd())
library(knitr)
# Change this value for new validators.
# opts_knit$set(root.dir='../') #Don't combine this call with any other chunk -especially one that uses file paths.
```

<!-- Set the report-wide options, and point to the external code file. -->
```{r set-options, echo=F}
# cat("Working directory: ", getwd())
report_render_start_time <- Sys.time()
opts_chunk$set(
results = 'show',
warning = FALSE,
comment = NA,
tidy = FALSE,
fig.width = 6.5,
fig.height = 4,
fig.path = 'figure-png/'
)
# dpi = 400,
# out.width = "650px", #This affects only the markdown, not the underlying png file. The height will be scaled appropriately.
echo_chunks <- FALSE
options(width=100) #So the output is 25% wider than the default.
# Change this value for new validators.
# read_chunk("./analysis/validator-1.R") #This allows knitr to call chunks tagged in the underlying *.R file.
```

<!-- Load 'sourced' R files. Suppress the output when loading packages. -->
```{r load-packages, echo=echo_chunks, message=FALSE, warning=FALSE}
requireNamespace("dplyr")
requireNamespace("DT")
```

<!-- Load any global functions and variables declared in the R file. Suppress the output. -->
```{r declare-globals, echo=echo_chunks, results='show', message=FALSE}
```

<!-- Declare any global functions specific to a Rmd output. Suppress the output. -->
```{r, echo=echo_chunks, message=FALSE}
#Put presentation-specific code in here. It doesn't call a chunk in the codebehind file.
```

<!-- Load the datasets. -->
```{r load-data, echo=echo_chunks, results='show', message=FALSE}
```

<!-- Tweak the datasets. -->
```{r tweak-data, echo=echo_chunks, results='show', message=TRUE}
```

```{r groom-rules, echo=echo_chunks, results='show', message=TRUE}
```

```{r groom-smells, echo=echo_chunks, results='show', message=TRUE}
```

Set Up {.tabset .tabset-fade}
=============================

Instructions
-----------------------------

1. Work through each line in the table to discover & correct entry mistakes in the database. Be aware that a single mistake may manifest in multiple rows; fixing one value may clear several rows.
1. Click the `record id` value in a row to be taken to the participant's Event Grid in REDCap (*i.e.*, the 'stop light page').
1. Double-check that your manual corrections in REDCap are reflected in `r checks$path_output_rule`. Be careful not to move this file to somewhere unsafe.
1. To help discover the dataflow and problematic location, use the
* project's [codebook](`r checks$redcap_codebook`) in REDCap,
* [validator-1-arch](`r checks$github_link_arch`) file, and
* [validator-1](`r checks$github_link_report`) report.
1. If you create a new rule or smell check, make sure the error message won't reveal any PHI.

Execute Rules
-----------------------------
```{r execute-rules, echo=echo_chunks, message=TRUE, results='asis'}
```

Execute Smells
-----------------------------
```{r execute-smells, echo=echo_chunks, message=TRUE, results='asis'}
```

Inactive Rules
-----------------------------

`r nrow(ds_rule_inactive)` rules are defined, but disabled for this report:

```{r echo=echo_chunks, results='asis'}
# glue::collapse(paste0("1. ", ds_rule_inactive$check_name), sep="; \n", last=", and \n")
ds_rule_inactive |>
glue::glue_data("1. {check_name};")
```

Inactive Smells
-----------------------------

`r nrow(ds_smell_inactive)` smells are defined, but disabled for this report:

```{r echo=echo_chunks, results='asis'}
ds_smell_inactive |>
glue::glue_data("1. {check_name};")
# if( nrow(ds_smell_inactive) == 0L ) {
# cat("* *no smells are disabled*.")
# } else {
# glue::collapse(paste0("1. ", ds_smell_inactive$smell_name), sep="; \n", last=", and \n")
# }
```

Rules {.tabset .tabset-fade}
=============================

A *rule* is very exact. Each record is examined, and determined if it passes each specific rule.

Rule Detail
-----------------------------
```{r table-rule-detail, echo=echo_chunks, message=TRUE}
```

Rule Summary
-----------------------------
```{r table-rule-summary, echo=echo_chunks, message=TRUE}
```

Smells {.tabset .tabset-fade}
=============================

A *smell* test won't validate a given record (like the rules above), but it will make sure the dataset overall smells correct.

Smell Summary
-----------------------------
```{r table-smell-summary, echo=echo_chunks, message=TRUE}
```

Termination {.tabset .tabset-fade}
=============================

### Save To Disk

```{r verify-values, echo=echo_chunks, message=TRUE}
```

```{r specify-columns-to-upload, echo=echo_chunks, message=TRUE}
```

```{r save-to-disk, echo=echo_chunks, message=TRUE}
```


<!-- The footer that's common to all reports. -->
<!-- ```{r, child = "analysis/common/footer-1.Rmd"}``` -->

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