Merge pull request #53 from fhdsl/season4

update with logistics fix
fhdsl · Sep 19, 2024 · 5175424 · 5175424
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diff --git a/docs/03-data-wrangling1.md b/docs/03-data-wrangling1.md
@@ -1,6 +1,11 @@
 # Data Wrangling with Tidy Data, Part 1
 
 
+```
+## 
+## The downloaded binary packages are in
+## 	/var/folders/pq/18p2fl6n49dfgzd03mtszm6r0000gn/T//RtmpfGUaNv/downloaded_packages
+```
 
 From our first two lessons, we are now equipped with enough fundamental programming skills to apply it to various steps in the data science workflow, which is a natural cycle that occurs in data analysis.
 

diff --git a/docs/04-data-wrangling2.md b/docs/04-data-wrangling2.md
@@ -1,6 +1,11 @@
 # Data Wrangling with Tidy Data, Part 2
 
 
+```
+## 
+## The downloaded binary packages are in
+## 	/var/folders/pq/18p2fl6n49dfgzd03mtszm6r0000gn/T//RtmpMVSXo7/downloaded_packages
+```
 
 Today, we will continue learning about common functions from the Tidyverse that is useful for Tidy data manipulations.
 

diff --git a/docs/05-data-visualization.md b/docs/05-data-visualization.md
@@ -1,6 +1,11 @@
 # Data Visualization
 
 
+```
+## 
+## The downloaded binary packages are in
+## 	/var/folders/pq/18p2fl6n49dfgzd03mtszm6r0000gn/T//RtmpvFOvIJ/downloaded_packages
+```
 
 
 
@@ -22,7 +27,8 @@ ggplot(penguins) + aes(x = bill_length_mm) + geom_histogram()
 ## (`stat_bin()`).
 ```
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-3-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-3-1.png" width="672" />
+
 
 The output of all of these functions, such as from `ggplot()` or `aes()` are not data types or data structures that we are familiar with...rather, they are graphical information. 
 
@@ -63,67 +69,70 @@ You add these 4 sections together to form a plot.
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = bill_length_mm)]{style="color:green"} + [geom_histogram()]{style="color:blue"} + [theme_bw()]{style="color:purple"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-4-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-4-1.png" width="672" />
 
 With options:
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = bill_length_mm)]{style="color:green"} + [geom_histogram(binwidth = 5)]{style="color:blue"} + [theme_bw()]{style="color:purple"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-5-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-5-1.png" width="672" />
 
 ### Bar plots
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = species)]{style="color:green"} + [geom_bar()]{style="color:blue"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-6-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-6-1.png" width="672" />
 
 ### Scatterplot
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = bill_length_mm, y = bill_depth_mm)]{style="color:green"} + [geom_point()]{style="color:blue"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-7-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-7-1.png" width="672" />
 
 ### Multivaraite Scatterplot
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = bill_length_mm, y = bill_depth_mm, color = species)]{style="color:green"} + [geom_point()]{style="color:blue"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-8-1.png)<!-- -->
+
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-8-1.png" width="672" />
 
 ### Multivaraite Scatterplot
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = bill_length_mm, y = bill_depth_mm)]{style="color:green"} + [geom_point()]{style="color:blue"} + [facet_wrap(\~species)]{style="color:purple"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-9-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-9-1.png" width="672" />
 
 ### Line plot?
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = bill_length_mm, y = bill_depth_mm)]{style="color:green"} + [geom_line()]{style="color:blue"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-10-1.png)<!-- -->
+
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-10-1.png" width="672" />
 
 ### Grouped Line plot?
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = bill_length_mm, y = bill_depth_mm, group = species)]{style="color:green"} + [geom_line()]{style="color:blue"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-11-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-11-1.png" width="672" />
 
 ### Boxplot
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = species, y = bill_depth_mm)]{style="color:green"} + [geom_boxplot()]{style="color:blue"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-12-1.png)<!-- -->
+
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-12-1.png" width="672" />
 
 ### Grouped Boxplot
 
 [ggplot(penguins)]{style="color:orange"} + [aes(x = species, y = bill_depth_mm, color = island)]{style="color:green"} + [geom_boxplot()]{style="color:blue"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-13-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-13-1.png" width="672" />
 
 ### Some additional options
 
 [ggplot(data = penguins)]{style="color:orange"} + [aes(x = bill_length_mm, y = bill_depth_mm, color = species)]{style="color:green"} + [geom_point()]{style="color:blue"} + [labs(x = "Bill Length", y = "Bill Depth", title = "Comparison of penguin bill length and bill depth across species") + scale_x_continuous(limits = c(30, 60))]{style="color:purple"}
 
-![](05-data-visualization_files/figure-docx/unnamed-chunk-14-1.png)<!-- -->
+<img src="05-data-visualization_files/figure-html/unnamed-chunk-14-1.png" width="672" />
 
 ## Summary of options
 

diff --git a/docs/404.html b/docs/404.html
@@ -6,7 +6,7 @@
   <meta http-equiv="X-UA-Compatible" content="IE=edge" />
   <title>Page not found | Introduction to R</title>
   <meta name="description" content="Page not found | Introduction to R" />
-  <meta name="generator" content="bookdown 0.39.1 and GitBook 2.6.7" />
+  <meta name="generator" content="bookdown 0.40 and GitBook 2.6.7" />
 
   <meta property="og:title" content="Page not found | Introduction to R" />
   <meta property="og:type" content="book" />
@@ -52,69 +52,6 @@
 <script src="libs/anchor-sections-1.1.0/anchor-sections.js"></script>
 
 
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diff --git a/docs/About.md b/docs/About.md
@@ -41,62 +41,66 @@ These credits are based on our [course contributors table guidelines](https://ww
 ```
 ## ─ Session info ───────────────────────────────────────────────────────────────
 ##  setting  value
-##  version  R version 4.3.2 (2023-10-31)
-##  os       Ubuntu 22.04.4 LTS
-##  system   x86_64, linux-gnu
+##  version  R version 4.4.1 (2024-06-14)
+##  os       macOS Sonoma 14.6.1
+##  system   aarch64, darwin20
 ##  ui       X11
 ##  language (EN)
 ##  collate  en_US.UTF-8
 ##  ctype    en_US.UTF-8
-##  tz       Etc/UTC
+##  tz       America/Los_Angeles
 ##  date     2024-09-18
-##  pandoc   3.1.1 @ /usr/local/bin/ (via rmarkdown)
+##  pandoc   3.2.1 @ /opt/homebrew/bin/ (via rmarkdown)
 ## 
 ## ─ Packages ───────────────────────────────────────────────────────────────────
 ##  package     * version date (UTC) lib source
-##  bookdown      0.39.1  2024-06-11 [1] Github (rstudio/bookdown@f244cf1)
-##  cachem        1.0.8   2023-05-01 [1] RSPM (R 4.3.0)
-##  cli           3.6.2   2023-12-11 [1] RSPM (R 4.3.0)
-##  devtools      2.4.5   2022-10-11 [1] RSPM (R 4.3.0)
-##  digest        0.6.34  2024-01-11 [1] RSPM (R 4.3.0)
-##  ellipsis      0.3.2   2021-04-29 [1] RSPM (R 4.3.0)
-##  evaluate      0.23    2023-11-01 [1] RSPM (R 4.3.0)
-##  fastmap       1.1.1   2023-02-24 [1] RSPM (R 4.3.0)
-##  fs            1.6.3   2023-07-20 [1] RSPM (R 4.3.0)
-##  glue          1.7.0   2024-01-09 [1] RSPM (R 4.3.0)
-##  htmltools     0.5.7   2023-11-03 [1] RSPM (R 4.3.0)
-##  htmlwidgets   1.6.4   2023-12-06 [1] RSPM (R 4.3.0)
-##  httpuv        1.6.14  2024-01-26 [1] RSPM (R 4.3.0)
-##  knitr         1.47.3  2024-06-11 [1] Github (yihui/knitr@e1edd34)
-##  later         1.3.2   2023-12-06 [1] RSPM (R 4.3.0)
-##  lifecycle     1.0.4   2023-11-07 [1] RSPM (R 4.3.0)
-##  magrittr      2.0.3   2022-03-30 [1] RSPM (R 4.3.0)
-##  memoise       2.0.1   2021-11-26 [1] RSPM (R 4.3.0)
-##  mime          0.12    2021-09-28 [1] RSPM (R 4.3.0)
-##  miniUI        0.1.1.1 2018-05-18 [1] RSPM (R 4.3.0)
-##  pkgbuild      1.4.3   2023-12-10 [1] RSPM (R 4.3.0)
-##  pkgload       1.3.4   2024-01-16 [1] RSPM (R 4.3.0)
-##  profvis       0.3.8   2023-05-02 [1] RSPM (R 4.3.0)
-##  promises      1.2.1   2023-08-10 [1] RSPM (R 4.3.0)
-##  purrr         1.0.2   2023-08-10 [1] RSPM (R 4.3.0)
-##  R6            2.5.1   2021-08-19 [1] RSPM (R 4.3.0)
-##  Rcpp          1.0.12  2024-01-09 [1] RSPM (R 4.3.0)
-##  remotes       2.4.2.1 2023-07-18 [1] RSPM (R 4.3.0)
-##  rlang         1.1.4   2024-06-04 [1] CRAN (R 4.3.2)
-##  rmarkdown     2.27.1  2024-06-11 [1] Github (rstudio/rmarkdown@e1c93a9)
-##  sessioninfo   1.2.2   2021-12-06 [1] RSPM (R 4.3.0)
-##  shiny         1.8.0   2023-11-17 [1] RSPM (R 4.3.0)
-##  stringi       1.8.3   2023-12-11 [1] RSPM (R 4.3.0)
-##  stringr       1.5.1   2023-11-14 [1] RSPM (R 4.3.0)
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-##  xtable        1.8-4   2019-04-21 [1] RSPM (R 4.3.0)
-##  yaml          2.3.8   2023-12-11 [1] RSPM (R 4.3.0)
+##  bookdown      0.40    2024-07-02 [1] CRAN (R 4.4.0)
+##  bslib         0.7.0   2024-03-29 [1] CRAN (R 4.4.0)
+##  cachem        1.1.0   2024-05-16 [1] CRAN (R 4.4.0)
+##  cli           3.6.3   2024-06-21 [1] CRAN (R 4.4.0)
+##  devtools      2.4.5   2022-10-11 [1] CRAN (R 4.4.0)
+##  digest        0.6.36  2024-06-23 [1] CRAN (R 4.4.0)
+##  ellipsis      0.3.2   2021-04-29 [1] CRAN (R 4.4.0)
+##  evaluate      0.24.0  2024-06-10 [1] CRAN (R 4.4.0)
+##  fastmap       1.2.0   2024-05-15 [1] CRAN (R 4.4.0)
+##  fs            1.6.4   2024-04-25 [1] CRAN (R 4.4.0)
+##  glue          1.7.0   2024-01-09 [1] CRAN (R 4.4.0)
+##  htmltools     0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)
+##  htmlwidgets   1.6.4   2023-12-06 [1] CRAN (R 4.4.0)
+##  httpuv        1.6.15  2024-03-26 [1] CRAN (R 4.4.0)
+##  jquerylib     0.1.4   2021-04-26 [1] CRAN (R 4.4.0)
+##  jsonlite      1.8.8   2023-12-04 [1] CRAN (R 4.4.0)
+##  knitr         1.47    2024-05-29 [1] CRAN (R 4.4.0)
+##  later         1.3.2   2023-12-06 [1] CRAN (R 4.4.0)
+##  lifecycle     1.0.4   2023-11-07 [1] CRAN (R 4.4.0)
+##  magrittr      2.0.3   2022-03-30 [1] CRAN (R 4.4.0)
+##  memoise       2.0.1   2021-11-26 [1] CRAN (R 4.4.0)
+##  mime          0.12    2021-09-28 [1] CRAN (R 4.4.0)
+##  miniUI        0.1.1.1 2018-05-18 [1] CRAN (R 4.4.0)
+##  pkgbuild      1.4.4   2024-03-17 [1] CRAN (R 4.4.0)
+##  pkgload       1.4.0   2024-06-28 [1] CRAN (R 4.4.0)
+##  profvis       0.3.8   2023-05-02 [1] CRAN (R 4.4.0)
+##  promises      1.3.0   2024-04-05 [1] CRAN (R 4.4.0)
+##  purrr         1.0.2   2023-08-10 [1] CRAN (R 4.4.0)
+##  R6            2.5.1   2021-08-19 [1] CRAN (R 4.4.0)
+##  Rcpp          1.0.12  2024-01-09 [1] CRAN (R 4.4.0)
+##  remotes       2.5.0   2024-03-17 [1] CRAN (R 4.4.0)
+##  rlang         1.1.4   2024-06-04 [1] CRAN (R 4.4.0)
+##  rmarkdown     2.27    2024-05-17 [1] CRAN (R 4.4.0)
+##  rstudioapi    0.16.0  2024-03-24 [1] CRAN (R 4.4.0)
+##  sass          0.4.9   2024-03-15 [1] CRAN (R 4.4.0)
+##  sessioninfo   1.2.2   2021-12-06 [1] CRAN (R 4.4.0)
+##  shiny         1.8.1.1 2024-04-02 [1] CRAN (R 4.4.0)
+##  stringi       1.8.4   2024-05-06 [1] CRAN (R 4.4.0)
+##  stringr       1.5.1   2023-11-14 [1] CRAN (R 4.4.0)
+##  urlchecker    1.0.1   2021-11-30 [1] CRAN (R 4.4.0)
+##  usethis       2.2.3   2024-02-19 [1] CRAN (R 4.4.0)
+##  vctrs         0.6.5   2023-12-01 [1] CRAN (R 4.4.0)
+##  xfun          0.45    2024-06-16 [1] CRAN (R 4.4.0)
+##  xtable        1.8-4   2019-04-21 [1] CRAN (R 4.4.0)
+##  yaml          2.3.8   2023-12-11 [1] CRAN (R 4.4.0)
 ## 
-##  [1] /usr/local/lib/R/site-library
-##  [2] /usr/local/lib/R/library
+##  [1] /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library
 ## 
 ## ──────────────────────────────────────────────────────────────────────────────
 ```

diff --git a/index.Rmd b/index.Rmd
@@ -35,7 +35,7 @@ After taking this course, you will be able to:
 
 All course information will be available here:
 
-https://hutchdatascience.org/intro_to_r
+https://hutchdatascience.org/Intro_to_R
 
 Course discussions will be done in the class slack Workspace. Invites will be sent before class.
 
@@ -120,11 +120,13 @@ There are two sections of Intro to R.
 - A hybrid (in-person and online) session on Wednesdays (12-1:30 PM PST)
 - A completely remote session on Thursdays (2-3:30 PM PST)
 
-When you are enrolled, we will send you teams invites for your section.
+When you are enrolled, we will send you teams invites for your section. Please note that we are at capacity for in-person. So if you have enrolled as online, please stay online.
 
 The Hybrid Sections will be held in the Data Science Lab Lounge - Arnold M1- and online. Please note that I will in town and teaching in person on the starred (*) dates below. 
 
-Dates when I am not on campus, you are free to attend in the 
+Dates when I am not on campus, you are free to attend in the DaSL lounge, but I will be teaching Remotely. 
+
+If you are remote, feel free to jump between either sessions.
 
 |Week|Subject|Hybrid Section Dates|Remote Session Dates|
 |----|--------------------|--------------------|-----|