Merge pull request #92 from tidy-survey-r/title

Updating title and readme file.

README.md

@@ -1,16 +1,25 @@
-# Tidy Survey Analysis in R
+# Exploring Complex Survey Data Analysis in R: A Tidy Introduction with srvyr
 
 Surveys are a powerful tool for gathering information, drawing insights, and driving decisions. However, they require specific analysis methods to ensure the correct interpretation of results. This book will provide an in-depth introduction to conducting survey analysis with the {srvyr} package and {tidyverse} family of functions. Readers will understand how and why to use survey analysis techniques as well as how to interpret and communicate results.
 
 ## Chapters
 
-1. Introduction
-2. Introducing survey data
-3. Understanding survey data files
-4. Introducing the {srvyr} package
-5. Specifying sample designs in {srvyr}
-6. Descriptive analyses in {srvyr}
-7. Statistical testing
-8. Modeling
-9. Presenting results
-10. Walkthroughs
+I. Intro
+  1. Introduction
+  2. Overview of Surveys
+  3. Understanding Survey Data Documentation
+II. Analysis
+  4. Set-up
+  5. Descriptive Analyses in {srvyr}
+  6. Statistical testing
+  7. Modeling
+III. Reporting
+  8. Communicating Results
+  9. Reproducible data
+IV. Real life data 
+  10. Specifying sample designs and replicate weights in {srvyr}
+  11. Missing data
+  12. Common pitfalls
+V. Vignettes
+  13. National Crime Victimization Survey Vignette
+  14. AmericasBarometer Vignette

_output.yml

@@ -6,7 +6,7 @@ bookdown::gitbook:
     toc:
       collapse: section
       before: |
-        <li><a href="./">A Book Example</a></li>
+        <li><a href="./">Exploring Complex Survey Data Analysis in R</a></li>
       after: |
         <li><a href="https://bookdown.org" target="blank">Published with bookdown</a></li>
     download: null

index.Rmd

@@ -1,5 +1,5 @@
 --- 
-title: "Tidy Survey Book"
+title: "Exploring Complex Survey Data Analysis in R: A Tidy Introduction with srvyr"
 author: "Stephanie Zimmer, Rebecca J. Powell, and Isabella Velásquez"
 date: "`r Sys.Date()`"
 documentclass: krantz