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fix in babs2/wk 2 and 3 workshops
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3mmaRand committed Feb 27, 2024
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2 changes: 1 addition & 1 deletion r4babs2/week-2/workshop.qmd
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Expand Up @@ -321,7 +321,7 @@ ggplot(plant, aes(x = day, y = mass)) +
```


![](images/do_in_R.png) Save your figure to your `figures` folder.
![](images/do_in_R.png) Save your figure to your `figures` folder. Make sure you [script figure saving with `ggsave()`](../../r4babs1/week-9/workshop.html#writing-figures-to-file).

```{r}
#| include: false
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8 changes: 4 additions & 4 deletions r4babs2/week-3/workshop.qmd
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Expand Up @@ -91,7 +91,7 @@ ggplot(data = adip, aes(x = treatment, y = adiponectin)) +

Summarising the data for each treatment group is the next sensible step. The most useful summary statistics are the means, standard deviations, sample sizes and standard errors.

![](images/do_in_R.png) Create a data frame called `adip_summary` that contains the means, standard deviations, sample sizes and standard errors for the control and nicotinic acid treated samples. You may need to the [Summarise](../../r4babs1/week-9/workshop.html#summarise) from the Week 9 workshop of BABS1 [@rand2023]
![](images/do_in_R.png) Create a data frame called `adip_summary` that contains the means, standard deviations, sample sizes and standard errors for the control and nicotinic acid treated samples. You may need to read the [Summarise](../../r4babs1/week-9/workshop.html#summarise) from the Week 9 workshop of BABS1 [@rand2023]

```{r}
#| include: false
Expand Down Expand Up @@ -287,7 +287,7 @@ It will generate a warning message "In is.na(x) : is.na() applied to non-(list o



![](images/do_in_R.png) Save your figure to your figures folder.
![](images/do_in_R.png) Save your figure to your figures folder. Make sure you [script figure saving with `ggsave()`](../../r4babs1/week-9/workshop.html#writing-figures-to-file).
```{r}
#| include: false
Expand Down Expand Up @@ -436,7 +436,7 @@ ggsave("figures/grouse.png",

## Gene Expression

Bambara groundnut (*Vigna subterranea*) is an African legume with good nutritional value which can be influenced by low temperature stress. Researchers are interested in the expression levels of a particular set of 35 genes (`probe_id`) in response to temperature stress. They measure the expression of the genes at 23 and 18 degrees C (high and low temperature). These samples are **not** independent because we have two measure from one gene. The data are in [expr.xlxs](data-raw/expr.xlsx).
Bambara groundnut (*Vigna subterranea*) is an African legume with good nutritional value which can be influenced by low temperature stress. Researchers are interested in the expression levels of a particular set of 35 genes (`probe_id`) in response to temperature stress. They measure the expression of the genes at 23 and 18 degrees C (high and low temperature). These samples are **not** independent because we have two measure from one gene. The data are in [expr.xlsx](data-raw/expr.xlsx).

### Selecting
![](images/answer.png) What is the null hypothesis?
Expand All @@ -447,7 +447,7 @@ Bambara groundnut (*Vigna subterranea*) is an African legume with good nutritio
<!-- the expression at the higher t = expression at the lower t -->


![](images/do_in_R.png) Save a copy of [expr.xlxs](data-raw/expr.xlsx) and import the data. I named the dataframe `bambara`
![](images/do_in_R.png) Save a copy of [expr.xlsx](data-raw/expr.xlsx) and import the data. I named the dataframe `bambara`

```{r}
#| include: false
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