Merge pull request #2 from stekhoven/1-create-a-panel-of-figures

Added multi-panel figure to analysis

Author: stekhoven

analysis.qmd

@@ -10,8 +10,12 @@ library(babynames)
 library(knitr)
 library(dplyr)
 library(ggplot2)
+library(tidyr)
+library(pheatmap)
 ```
 
+# Writing in Quarto part
+
 Let's have a look at the first couple of rows in the data:
 
 ```{r}
@@ -67,3 +71,45 @@ get_most_frequent(babynames, select_sex = "M") |>
   plot_top()
 ```
 
+# git and github part
+
+We want to plot multiple panels in a figure - an example for the most liked girl's name can be seen in @fig-mult-girls.
+
+
+```{r}
+#| label: fig-mult-girls
+#| layout: [[50,50], [100]]
+#| fig-cap: "Most favourite girl names - a closer look!"
+#| fig-subcap: 
+#|   - "Top 5 girl's names over the years"
+#|   - "Top 10 girl's names over the years"
+#|   - "Heatmap of top 30 girl's names versus years"
+# get most frequent girl names from 2010 onwards
+from_year <- 2010
+most_freq_girls <- get_most_frequent(babynames, select_sex = "F",
+                                     from = from_year)
+
+# plot top 5 girl names
+most_freq_girls |>
+  plot_top(top = 5)
+
+# plot top 10 girl names
+most_freq_girls |>
+  plot_top(top = 10)
+
+# get top 30 girl names in a matrix
+# with names in rows and years in columns
+prop_df <- babynames |> 
+  filter(name %in% most_freq_girls$most_frequent$name[1:30] & sex == "F") |>
+  filter(year >= from_year) |> 
+  select(year, name, prop) |>
+  pivot_wider(names_from = year,
+              values_from = prop)
+
+prop_mat <- as.matrix(prop_df[, 2:ncol(prop_df)])
+rownames(prop_mat) <- prop_df$name
+
+# create heatmap
+pheatmap(prop_mat, cluster_cols = FALSE, scale = "row")
+```
+