R4DS to DSLC (#143)

03-a_review_of_r_modeling_fundamentals.Rmd

@@ -457,7 +457,7 @@ df
 00:33:15	Maya Gans:	I love using single letters and t always gets me too
 00:33:18	Scott Nestler:	Many years ago, a common way to estimate a standard normal distribution was to sum 12 Uniform(0,1) distributions and then subtract 6.
 00:33:19	luifrancgom:	interesting from utils (data)
-00:33:23	Jon Harmon (jonthegeek):	For following along: r4ds.io/tmwr is this study guide... thing... that we're making
+00:33:23	Jon Harmon (jonthegeek):	For following along: dslc.io/tmwr is this study guide... thing... that we're making
 00:34:09	Jon Harmon (jonthegeek):	And I use extremely specific variable names. RStudio autocomplete means you only have to type the full thing once, and then people know what you mean.
 00:34:48	Tan Ho:	trying to grok joe's comments for my non-statsy self: fitting one model with a categorical variable means you have one coefficient for each feature and the difference between categories is explained by the coefficient for the category. Fitting one model for each level of the categorical variable means you get different coefficients for a feature based on the subgroup of data
 00:35:31	Yoni Sidi:	It also depends if you incl the intercept

04-the_ames_housing_data.Rmd

@@ -70,7 +70,7 @@ Shiny app: https://conorotompkins.shinyapps.io/house_sale_estimator/
 00:44:39    Tyler Grant Smith:  wouldnt neighborhod effect vary qith year of sale....gentrification etc
 00:44:42    Jonathan Trattner:  It is on CRAN for whatever that’s worth
 00:44:49    Yoni Sidi:  that's not worth much
-00:44:54    Tan Ho: He's also in the R4DS slack channel
+00:44:54    Tan Ho: He's also in the DSLC slack channel
 00:44:58    Yoni Sidi:  on CRAN means they passed cmd check 
 00:45:05    Jonathan Trattner:  Well yeah
 00:45:09    Jonathan Trattner:  But it also has some nice tests

DESCRIPTION

@@ -2,7 +2,7 @@ Package: tmwr
 Title: Tidy Modeling with R Book Club
 Version: 0.0.1.9000
 Authors@R: 
-    person("R4DS Online Learning Community", role = c("aut", "cre", "cph"))
+    person("Data Science Learning Community", role = c("aut", "cre", "cph"))
 URL: https://r4ds.github.io/bookclub-tmwr,
     https://github.com/r4ds/bookclub-tmwr
 Depends:

README.md

@@ -1,14 +1,14 @@
-# R4DS Tidy Modeling with R Book Club
+# DSLC Tidy Modeling with R Book Club
 
-Welcome to the R4DS Tidy Modeling with R Book Club!
+Welcome to the DSLC Tidy Modeling with R Book Club!
 
 We are working together to read [Tidy Modeling with R](https://www.tmwr.org/) by Max Kuhn and Julia Silge.
-Join the #book_club-tidy_modeling_with_r channel on the [R4DS Slack](https://r4ds.io/join) to participate.
+Join the #book_club-tidy_modeling_with_r channel on the [DSLC Slack](https://dslc.io/join) to participate.
 As we read, we are producing [notes about the book](https://r4ds.github.io/bookclub-tmwr/).
 
 ## Meeting Schedule
 
-If you would like to present, please see the sign-up sheet for your cohort (linked below, and pinned in the [#book_club-tmwr](https://rfordatascience.slack.com/archives/C01H9SLA48M) channel on Slack)!
+If you would like to present, please see the sign-up sheet for your cohort (linked below, and pinned in the [#book_club-tmwr](https://dslcio.slack.com/archives/C01H9SLA48M) channel on Slack)!
 
 - Cohort 1 (started 2021-01-05, ended 2021-10-19): [meeting videos](https://www.youtube.com/playlist?list=PL3x6DOfs2NGgP7y2sOGcYNGFd_9pORpYG)
 - Cohort 2 (started 2021-02-07, ended 2021-06-06): [meeting videos](https://www.youtube.com/playlist?list=PL3x6DOfs2NGggq4ssmi3KnOMwODhGz33W)

index.Rmd

@@ -1,32 +1,32 @@
 --- 
 title: "Tidy Modeling with R Book Club"
-author: "The R4DS Online Learning Community"
+author: "The Data Science Learning Community"
 date: "`r Sys.Date()`"
 site: bookdown::bookdown_site
 documentclass: book
 bibliography: book.bib
 biblio-style: apalike
 link-citations: yes
 github-repo: r4ds/bookclub-tmwr
-description: "This is the product of the R4DS Online Learning Community's Tidy Modeling with R Book Club."
+description: "This is the product of the Data Science Learning Community's Tidy Modeling with R Book Club."
 ---
 
 # Welcome {-}
 
 This is a companion for the book [Tidy Modeling with R](https://www.tmwr.org/) by Max Kuhn and Julia Silge.
-This companion is available at [r4ds.io/tmwr](https://r4ds.io/tmwr).
+This companion is available at [dslc.io/tmwr](https://dslc.io/tmwr).
 
-This website is being developed by the [R4DS Online Learning Community](https://rfordatasci.com). Follow along, and [join the community](https://r4ds.io/join) to participate.
+This website is being developed by the [Data Science Learning Community](https://dslc.io). Follow along, and [join the community](https://dslc.io/join) to participate.
 
-This companion follows the [R4DS Online Learning Community Code of Conduct](https://r4ds.io/conduct).
+This companion follows the [Data Science Learning Community Code of Conduct](https://dslc.io/conduct).
 
 ## Book club meetings {-}
 
 - Each week, a volunteer will present a chapter from the book.
   - **This is the best way to learn the material.**
 - Presentations will usually consist of a review of the material, a discussion, and/or a demonstration of the principles presented in that chapter.
 - More information about how to present is available in the [github repo](https://github.com/r4ds/bookclub-tmwr).
-- Presentations will be recorded, and will be available on the [R4DS Online Learning Community YouTube Channel](https://r4ds.io/youtube).
+- Presentations will be recorded, and will be available on the [Data Science Learning Community YouTube Channel](https://dslc.io/youtube).
 
 ```{r set-conflict-prefs, include=FALSE}
 # There are some conflicts that can come up easily. Let's handle them up front.