Merge pull request #37 from raubreywhite/patch-1

Update time01.Rmd

time/time01/time01.Rmd

@@ -141,15 +141,18 @@ timeseries <- rio::import("../data/norsyss.xlsx")
 **Thank you for your service** *to your community in these busy times for public health. We are glad that you are taking the time to learn R with us.*  
 
 - Brief introductions from the instructors  
-- Brief round of introductions from the participants
+- From the participants, please write in the chat:
+    - Your name
+    - Your previous R experience
+    - A quick summary of your day-to-day job
 
 ---
 
 # Time series
 
 - A set of observations arranged in chronological order
 - Performed in many fields, many applications
-- We will be focusing on "anomaly detection"
+- We will be focusing on "anomaly detection" (also known as "aberration analysis")
 - Used in near real-time surveillance to identify unexpected patterns in data
 - Allows for informed decision-making and outbreak detection
 
@@ -560,7 +563,7 @@ q
 **Maybe** improve by removing the window and explicitly modeling seasonality
 - Good if you get a good model fit
 - Bad if you get a bad model fit
-- **Lunar new year is a good example**: **Easter**
+- Explicit modeling is useful when events aren't in the same week each year (e.g. Easter)
 - Remember that you must **always** have **baseline data** that comes **before** the **observation**
 - Need to **rerun** the entire model for **every week**, shifting the baseline data window
 ]
@@ -623,6 +626,8 @@ The best way to learn is to try it yourself!
 
 **As you go along, please remember to type into the chat if you have any questions.**
 
+**You can also raise your hand if you'd like a 1-on-1 chat in a breakout room**
+