bits and bobs

r4babs2/week-1/data-raw/beewing.txt

@@ -1,4 +1,4 @@
-wing
+wing_mm
 3.6
 3.7
 3.8

r4babs2/week-1/workshop.qmd

@@ -91,21 +91,21 @@ Where 1.96 is the quantile for 95% confidence.
 
 #---CODING ANSWER---
 
-bee <- read_table("data-raw/beewing.txt")
-str(bee)
+beewing <- read_table("data-raw/beewing.txt")
+str(beewing)
 ```
 
 ![](images/do_in_R.png) Calculate and assign to variables: the mean, standard deviation and standard error:
 
 ```{r}
 # mean
-m <- mean(bee$wing)
+m <- mean(beewing$wing_mm)
 
 # standard deviation
-sd <- sd(bee$wing)
+sd <- sd(beewing$wing_mm)
 
 # sample size (needed for the se)
-n <- length(bee$wing)
+n <- length(beewing$wing_mm)
 
 # standard error
 se <- sd / sqrt(n)

r4babs2/week-4/overview.qmd

@@ -6,7 +6,7 @@ toc-location: right
 
 ---
 
-Last week you learnt how to use and interpret the general linear model when the *x* variable was categorical with two groups. You will now extend that to situations when there are more than two groups. This is often known as the one-way ANOVA (**an**alysis **o**f **var**iance). You will also learn about the Kruskal- Wallis test which can be used when the assumptions of the general linear model are not met.
+Last week you learnt how to use and interpret the general linear model when the *x* variable was categorical with two groups. You will now extend that to situations when there are more than two groups. This is often known as the one-way ANOVA (**an**alysis **o**f **var**iance). You will also learn about the Kruskal-Wallis test which can be used when the assumptions of the general linear model are not met.
 
 ### Learning objectives
 

r4babs4/week-1/workshop.qmd

@@ -175,13 +175,13 @@ of the work.
 
 ## Load packages
 
-We need XXXX packages for this workshop:
+We need the following packages for this workshop:
 
 -   **`tidyverse`** [@tidyverse]: importing the meta data which is in a
     text file, working with the data once it is in a dataframe to
     filter, summarise and plot.
 
-🎬 Load **`tidyverse`**,**`xxxxxx`** and **`xxxxx`**
+🎬 Load **`tidyverse`**
 
 ```{r}
 library(tidyverse)

r4babs4/week-4/study_after_workshop.qmd

@@ -1,6 +1,6 @@
 ---
 title: "Independent Study to consolidate this week"
-subtitle: "DA 3 Immunobiology"
+subtitle: "Data Analysis 3: Immunobiology - Your data analysis"
 toc: true
 toc-location: right
 format:
@@ -9,14 +9,9 @@ format:
     code-summary: "Answer - don't look until you have tried!"
 ---
 
-# Set up
 
-If you have just opened RStudio you will want to load the **`tidyverse`** package
-
-```{r}
-#| code-fold: false
-library(tidyverse)
-```
 
 # Exercises
 
+🎬 Go through week 1 Core workshop.
+

r4babs4/week-4/study_before_workshop.qmd

@@ -1,12 +1,12 @@
 ---
 title: "Independent Study to prepare for workshop"
-subtitle: "DA 3 Immunobiology"
+subtitle: "Data Analysis 3: Immunobiology - Your data analysis"
 toc: true
 toc-location: right
 ---
 
 1.  Prepare
 
-    i.  📖 Read 
+    i.  📖 Review the [Workshop in Week 2](../week-2/workshop.html) and try to apply the workflow to your own data so that you can identify problems and be ready to ask questions.
 
 

r4babs4/week-4/workshop.qmd

@@ -1,6 +1,6 @@
 ---
 title: "Workshop"
-subtitle: "DA 3 Immunobiology"
+subtitle: "Data Analysis 3: Immunobiology - Your data analysis"
 toc: true
 toc-location: right
 editor: