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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# TaskSVVdcDB
## Deployment information
The app is deployed on the `shinyapps.io` server. There are two versions:
- the development version:
<https://cologne-analytics.shinyapps.io/TaskSVVdcDB/>
- the production version:
<https://cologne-analytics.shinyapps.io/TaskSVVdcDBtesting/>
## To-Do List
* fix login layer; seems difficult so get help from curso-R or thinkR team
* fix logistic regressions and roc curve analysis:
- (optional) add computations of probabilities from odds to user output
for ease of interpretability of results
- (mandatory) fix whenever data sets are taken from a bunch of different
years or the regressors are badly specified which will make roc curve
analysis fail; currently, the app closes but the expected behavior is to
show a message to the user that the analysis cannot be performed
* translation between english and norsk; use the google cloud version from
Appsilon
* Questions for Vegard:
- why do we use this app and what for exactly?
- costs
<!-- badges: start -->
<!-- badges: end -->
The shiny app TaskSVVdcDB provides analysis for SVV data on their employes and
their digital competence.
## Installation
You can install the development version of TaskSVVdcDB from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("TASK-no/TaskSVVdcDB")
```