Fix math display

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Nora Wickelmaier 2025-06-20 14:11:52 +02:00
parent 40fdb67b67
commit 78abc7602b
2 changed files with 20 additions and 12 deletions

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@ -1,7 +1,13 @@
Exercise: Junior School Project ---
================ title: "Exercise: Junior School Project"
Nora Wickelmaier author: "Nora Wickelmaier"
2025-06-20 output:
md_document:
variant: gfm
preserve_yaml: true
kramdown:
math_engine: mathjax
---
Load the Junior School Project collected from primary (U.S. term is Load the Junior School Project collected from primary (U.S. term is
elementary) schools in inner London in R. You might need to install the elementary) schools in inner London in R. You might need to install the
@ -71,11 +77,11 @@ aggregate(gcraven ~ school, dat, mean) |> head()
## 5 5 5.075722e-16 ## 5 5 5.075722e-16
## 6 6 0.000000e+00 ## 6 6 0.000000e+00
3. Create a plot with `lattice::xyplot()` with `gcraven` on the 3. Create a plot with `lattice::xyplot()` with `gcraven` on the x-axis
$x$-axis and `math` on the $y$-axis and one panel for each school. and `math` on the y-axis and one panel for each school. Use
Use `type = c("p", "g", "r")`. You can also use `ggplot2` if you `type = c("p", "g", "r")`. You can also use `ggplot2` if you want
want to. What would be your conclusion about the need for to. What would be your conclusion about the need for school-specific
school-specific slopes based on this plot? slopes based on this plot?
<img src="jsp_files/figure-gfm/unnamed-chunk-7-1.png" style="display: block; margin: auto;" /> <img src="jsp_files/figure-gfm/unnamed-chunk-7-1.png" style="display: block; margin: auto;" />
@ -108,9 +114,11 @@ aggregate(gcraven ~ school, dat, mean) |> head()
&~~~ + \beta_{4}\,mraven_i + \beta_{5}\,(gcraven_{ij} \times mraven_{i})\\ &~~~ + \beta_{4}\,mraven_i + \beta_{5}\,(gcraven_{ij} \times mraven_{i})\\
&~~~ + \upsilon_{0i} + \upsilon_{1i}\,gcraven_{ij} + \varepsilon_{ij} &~~~ + \upsilon_{0i} + \upsilon_{1i}\,gcraven_{ij} + \varepsilon_{ij}
\end{align*} \end{align*}
$$ with $$
$\boldsymbol\upsilon \sim N(\boldsymbol 0, \boldsymbol{\Sigma}_\upsilon)$
i.i.d., $\varepsilon_{ij} \sim N(0, \sigma^2)$ i.i.d. with
$$\boldsymbol\upsilon \sim N(\boldsymbol 0, \boldsymbol{\Sigma}_\upsilon)$$
i.i.d., $$\varepsilon_{ij} \sim N(0, \sigma^2)$$ i.i.d.
5. Interpret the parameters of the model: 5. Interpret the parameters of the model:

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