Merge pull request #169 from tidy-survey-r/update-srvyr-130

Update srvyr to 1.3.0 and update book description

01-introduction.Rmd

@@ -181,7 +181,7 @@ packinfo_attach <- packinfo %>%
 
 packinfo_tib <-
   renv_pack %>%
-  filter(Package %in% c(pull(packinfo_attach, package), "remotes")) %>%
+  filter(Package %in% c(pull(packinfo_attach, package))) %>%
   rename(SourceInit=Source) %>%
   mutate(
     ShortSha=str_sub(RemoteSha, 1, 7),

04-set-up.Rmd

@@ -21,22 +21,22 @@ This section provides details on the required packages and data, as well as the
 
 ### Packages {#setup-load-pkgs}
 
-We use several packages throughout the book, but let's install and load specific ones for this chapter. Many functions in the examples and exercises are from three packages: {tidyverse}, {survey}, and {srvyr}. If they are not already installed, use the code below. The {tidyverse} and {survey} packages can both be installed from the Comprehensive R Archive Network (CRAN) [@lumley2010complex; @tidyverse2019]. We use the GitHub development version of {srvyr} because of its additional functionality compared to the one on CRAN [@R-srvyr]. Install the package directly from GitHub using the {remotes} package:
+We use several packages throughout the book, but let's install and load specific ones for this chapter. Many functions in the examples and exercises are from three packages: {tidyverse}, {survey}, and {srvyr} [@tidyverse2019; @lumley2010complex; @R-srvyr]. The packages can be installed from the Comprehensive R Archive Network (CRAN) using the code below:
 
 ```{r}
 #| label: setup-install-core1
 #| eval: FALSE
-install.packages(c("tidyverse", "survey", "remotes"))
-remotes::install_github("gergness/srvyr")
+install.packages(c("tidyverse", "survey", "srvyr"))
 ```
 
-We bundled the datasets used in the book in an R package, {srvyrexploR}. Install it directly from GitHub using the {remotes} package:
+We bundled the datasets used in the book in an R package, {srvyrexploR} [@R-srvyrexploR]. To install it from GitHub, use the {pak} package [@R-pak]:
 
 ```{r}
 #| label: setup-install-core2
 #| eval: FALSE
 #| warning: FALSE
-remotes::install_github("tidy-survey-r/srvyrexploR")
+install.packages("pak")
+pak::pak("tidy-survey-r/srvyrexploR")
 ```
 
 After installing these packages, load them using the `library()` function:
@@ -412,11 +412,10 @@ towny %>%
                    .by=csd_type)
 ```
 
-However, the `.by` syntax is not yet available in {srvyr}: 
+The `.by` syntax is similarly implemented in {srvyr} for grouped analysis: 
 
 ```{r}
 #| label: setup-srvyr-by-alt
-#| error: true
 apistrat_des %>%
   summarize(api00_mean = survey_mean(api00),
             api00_median = survey_median(api00),

05-descriptive-analysis.Rmd

@@ -127,7 +127,7 @@ For the sake of simplicity, we've removed cases with missing values in the examp
 
 ## Counts and cross-tabulations
 
-\index{Functions in srvyr!survey\_tally|(} \index{Functions in srvyr!survey\_count}|(} \index{survey\_tally|see {Functions in srvyr}} \index{Categorical data|(} \index{Cross-tabulation|(} \index{Measures of distribution|(}
+\index{Functions in srvyr!survey\_tally|(} \index{Functions in srvyr!survey\_count|(} \index{survey\_tally|see {Functions in srvyr}} \index{Categorical data|(} \index{Cross-tabulation|(} \index{Measures of distribution|(} 
 Using `survey_count()` and `survey_tally()`, we can calculate the estimated population counts for a given variable or combination of variables. These summaries, often referred to as cross-tabulations or cross-tabs, are applied to categorical data. They help in estimating counts of the population size for different groups based on the survey data. 
 \index{Categorical data|)}
 

99-references.Rmd

@@ -10,6 +10,7 @@ library(readxl)
 library(httr2)
 library(jsonlite)
 library(tidycensus)
+library(pak)
 
 
 our_write_bib <- function (x = .packages(), file = "", tweak = TRUE, width = NULL, 

index.Rmd

@@ -11,7 +11,7 @@ colorlinks: true
 lot: true
 lof: true
 site: bookdown::bookdown_site
-description: "Bookdown for CRC Press book on Exploring Complex Survey Data Analysis Using R."
+description: "Exploring Complex Survey Data Analysis Using R: A Tidy Introduction with {srvyr} and {survey}"
 github-repo: tidy-survey-r/tidy-survey-book
 graphics: yes
 cover-image: images/BookCover_Final.jpg

renv.lock

@@ -1581,6 +1581,18 @@
       ],
       "Hash": "1f8c66528602fda4eef0c2e11eda5a57"
     },
+    "pak": {
+      "Package": "pak",
+      "Version": "0.7.2",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "tools",
+        "utils"
+      ],
+      "Hash": "93288e19455e09f590b56db4d50248fe"
+    },
     "pillar": {
       "Package": "pillar",
       "Version": "1.9.0",
@@ -2051,16 +2063,10 @@
     },
     "srvyr": {
       "Package": "srvyr",
-      "Version": "1.2.0",
-      "Source": "GitHub",
-      "RemoteType": "github",
-      "RemoteHost": "api.github.com",
-      "RemoteRepo": "srvyr",
-      "RemoteUsername": "gergness",
-      "RemoteRef": "HEAD",
-      "RemoteSha": "1917f75487fa40f2ea6fd4e33323cd9278afb356",
+      "Version": "1.3.0",
+      "Source": "Repository",
+      "Repository": "CRAN",
       "Requirements": [
-        "R",
         "dplyr",
         "magrittr",
         "methods",
@@ -2071,7 +2077,7 @@
         "tidyselect",
         "vctrs"
       ],
-      "Hash": "c77ebba142d814788bab0092bf102f6d"
+      "Hash": "11179f4e74e0018168ae9f219809a3f2"
     },
     "srvyrexploR": {
       "Package": "srvyrexploR",