fix index entry in hiltercomparison vignette

R/analyze.R

@@ -20,20 +20,55 @@ party_colors <- c(
   SPD="#DF0B25",
   "BÜNDNIS 90 / DIE GRÜNEN"="#4A932B",
   "DIE LINKE"="#BC3475",
-  "AfD&Fraktionslos"="#1A9FDD",
-  Fraktionslos="#FEEB34"
+  "AfD&Fraktionslos"="#AAAAFF",
+  Fraktionslos="#AAAAAA"
 )
 
+party_order <- factor(c("Fraktionslos", "AfD&Fraktionslos",
+                        "DIE LINKE", "BÜNDNIS 90 / DIE GRÜNEN", "SPD", "CDU/CSU",
+                        "FDP", "AfD", NA_character_))
+
 #' @export
-bar_plot_fraktionen <- function(tb, variable, fill, title=NULL, xlab = "Fraction",
-                                ylab="n", filllab="Fraction") {
-    ggplot(tb, aes(x = reorder(fraktion, -{{variable}}), y = {{variable}}, fill = {{fill}})) +
-        scale_fill_manual(values = party_colors) +
+bar_plot_fraktionen <- function(tb,
+                                x_variable = NULL, # default is fraktion
+                                y_variable = NULL, # default is n
+                                fill = NULL, # default is fraktion
+                                title = NULL,
+                                xlab = "Fraction",
+                                ylab = "n",
+                                filllab = "Fraction",
+                                flipped = TRUE,
+                                position = "dodge",
+                                reorder = FALSE) {
+    # capture expressions in arguments
+    fill <- enexpr(fill)
+    y_variable <- enexpr(y_variable)
+    x_variable <- enexpr(x_variable)
+
+    # set default values
+    if (is.null(fill)) fill <- expr(fraktion)
+    if (is.null(y_variable)) y_variable <- expr(n)
+    if (is.null(x_variable)) x_variable <- expr(fraktion)
+
+    # either reorder fraction factor by variable value
+    if (reorder) maps <- aes(x = reorder(!!x_variable, -!!y_variable),
+                             y = !!y_variable,
+                             fill = reorder(!!fill, -!!y_variable))
+    # or reorder fraction factor by party seat order in parliament (default)
+    else maps <- aes(x = factor(!!x_variable, levels = party_order),
+                     y = !!y_variable,
+                     fill = factor(!!fill, levels = party_order))
+    # make a bar plot
+    ggplot(tb, maps) +
+        scale_fill_manual(values = party_colors, na.value = "#555555") +
         xlab(xlab) +
         ylab(ylab) +
         labs(fill = filllab) +
         ggtitle(title) +
-        geom_bar(stat = "identity") + coord_flip()
+        geom_bar(stat = "identity", position = position) ->
+        plt
+    # if flipped == TRUE, draw bars horizontally (default TRUE)
+    if (flipped) plt + coord_flip() else plt
 }
 
 # Counts how many talks do match a given pattern and summarises by date

vignettes/funwithdata.Rmd

@@ -55,7 +55,8 @@ join_redner(res$reden, res) %>%
     group_by(fraktion) %>%
     summarize(n = n()) %>%
     arrange(n) %>%
-    bar_plot_fraktionen(n, fill = fraktion, title="Number of speeches given by fraction", ylab="Number of speeches")
+    bar_plot_fraktionen(title="Number of speeches given by fraction",
+                        ylab="Number of speeches")
 ```
 
 or counting the occurences of a given word:
@@ -69,9 +70,9 @@ find_word(res, "Kohleausstieg") %>%
     group_by(fraktion) %>%
     summarize(n = n()) %>%
     arrange(desc(n)) %>%
-    bar_plot_fraktionen(n, fill = fraktion,
-                           title = "Parties using the word 'Kohleausstieg' the most (absolutely)",
-                           ylab = "Number of uses of 'Kohleausstieg'")
+    bar_plot_fraktionen(title = "Parties using the word 'Kohleausstieg' the most (absolutely)",
+                        ylab = "Number of uses of 'Kohleausstieg'",
+                        flipped = F)
 ```
 
 ### Who gives the most speeches?
@@ -118,13 +119,14 @@ For plotting our results we reorganize them a bit and produce a bar plot:
 ```{r, fig.width=7}
 pivot_longer(tb, where(is.numeric), "by_fraktion", "count") %>%
     filter(!is.na(on_fraktion)) %>%
-    rename(fraktion = on_fraktion) %>%
-    bar_plot_fraktionen(value,
+    bar_plot_fraktionen(x_variable = on_fraktion,
+                        y_variable = value,
                         fill = by_fraktion,
                         title = "Number of rounds of applauses from fractions to fractions",
                         xlab = "Applauded fraction",
                         ylab = "Rounds of applauses",
-                        filllab = "Applauding fraction")
+                        filllab = "Applauding fraction",
+                        flipped = FALSE)
 ```
 
 
@@ -147,13 +149,14 @@ Analogously we plot the results:
 ```{r, fig.width=7}
 pivot_longer(tb, where(is.numeric), "by_fraktion", "count") %>%
     filter(!is.na(on_fraktion)) %>%
-    rename(fraktion = on_fraktion) %>%
-    bar_plot_fraktionen(value,
+    bar_plot_fraktionen(x_variable = on_fraktion,
+                        y_variable = value,
                         fill = by_fraktion,
                         title = "Number of comments from fractions to fractions",
                         xlab = "Commented fraction",
                         ylab = "Number of comments",
-                        filllab = "Commenting fraction")
+                        filllab = "Commenting fraction",
+                        flipped = FALSE)
 ```
 
 ### When are which topics discussed the most?

vignettes/hitlercomparison.Rmd

@@ -2,7 +2,7 @@
 title: "Analysis of vocabulary"
 output: rmarkdown::html_vignette
 vignette: >
-  %\VignetteIndexEntry{funwithdata}
+  %\VignetteIndexEntry{Analysis of vocabulary}
   %\VignetteEngine{knitr::rmarkdown}
   %\VignetteEncoding{UTF-8}
 ---