a logo is here!

README.md

@@ -1,4 +1,4 @@
-# FreesearchR
+# FreesearchR <img style="float: right;" src="logo-text-white-250.png">
 
 <!-- badges: start -->
 [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
@@ -48,3 +48,5 @@ Like any other project, this project was never possible without the great work o
 -   [gtsummary](https://www.danieldsjoberg.com/gtsummary/): superb and flexible way to create publication-ready analytical and summary tables.
 
 -   [dreamRs](https://github.com/dreamRs): maintainers of a broad selection of great extensions and tools for [Shiny](https://shiny.posit.co/).
+
+This project was all written by a human and not by any AI-based tools.

inst/apps/FreesearchR/www/intro.md

@@ -1,4 +1,4 @@
-# Welcome
+# Welcome <img style="float: right;" src="logo-text-white-250.png">
 
 This is the ***FreesearchR*** data analysis tool. We intend the ***FreesearchR*** to be a powerful and free tool for easy data evaluation and analysis at the hands of the clinician. If you need more advanced tools for regression models or plotting, you'll probably be better off using *R* or similar directly on your own machine.
 
@@ -6,7 +6,7 @@ By intention, this tool has been designed to be simple to use with a minimum of
 
 There are some simple steps to go through (see corresponding tabs in the top):
 
-1.  Import data (a spreadsheet/file on your machine, direct export from a REDCap server, or a local file provided with a package) to get started.
+1.  Import data to get started. This can be a spreadsheet/file on your machine, direct export from a REDCap server, sample data or data from a your local environment if run locally.
 
 1.  Data inspection and  modification (change variable classes, create new variables (categorical from numeric or time data, or completely new variables from the data)
 
@@ -20,10 +20,14 @@ There are some simple steps to go through (see corresponding tabs in the top):
     
     -   Plot regression analysis coefficients
 
-    -   Evaluation of model assumptions
+    -   Evaluate model assumptions
 
-1.  Export the the analyses results for MS Word or [LibreOffice](https://www.libreoffice.org/) as well as the data with preserved metadata.
+1.  Export results
 
-The full [project documentation is here](https://agdamsbo.github.io/FreesearchR/) for documenting the project, functions, road map and more. If you're interested in the source code, then [everything is open and you are free to read, copy, modify and improve](https://github.com/agdamsbo/FreesearchR), and please let us know if you want to contribute!
+    -   Descriptive and regression analyses results for MS Word or [LibreOffice](https://www.libreoffice.org/)
+    
+    -   Modified data with preserved metadata
+    
+    -   Code to recreate all steps locally
 
-Contributions can be reporting issues, suggesting new functionality, improving code or any other feedback. [It all goes here](https://github.com/agdamsbo/FreesearchR/issues).
+The full [project documentation is here](https://agdamsbo.github.io/FreesearchR/) and all code used is [freely available to read, copy, modify and improve](https://github.com/agdamsbo/FreesearchR) under an [open source license](https://github.com/agdamsbo/FreesearchR/blob/main/LICENSE.md)! Contributions are welcome and much appreciated and can be reporting issues, suggesting new functionality, improving code or any other feedback [here](https://github.com/agdamsbo/FreesearchR/issues).