d <- gs[,c(2,5)]
colnames(d) <- c("student.num", "discord.name")
-call.list <- do.call("rbind", lapply(list.files(".", pattern="^call_list-.*tsv$"), function (x) {read.delim(x)}))
+call.list <- do.call("rbind", lapply(list.files(".", pattern="^call_list-.*tsv$"), function (x) {read.delim(x)[,1:3]}))
colnames(call.list) <- gsub("_", ".", colnames(call.list))
call.counts <- data.frame(table(call.list$discord.name))
d <- merge(d, attendance.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d
+
+color.gradient <- scales::seq_gradient_pal("yellow", "magenta", "Lab")(seq(0,1,length.out=length(unique(d$num.present))))
+
+png("questions_absence_histogram_combined.png", units="px", width=800, height=600)
+
+ggplot(d) +
+ aes(x=as.factor(num.calls), fill=as.factor(num.present)) +
+ geom_bar(color="black") +
+ stat_count() +
+ scale_x_discrete("Number of questions asked") +
+ scale_y_continuous("Number of students") +
+ # scale_fill_brewer("Absences") +
+ scale_fill_manual("Absences", values=color.gradient) +
+ theme_bw()
+
+dev.off()
+
+png("questions_absenses_boxplots.png", units="px", width=800, height=600)
+
+ggplot(data=d) +
+ aes(x=as.factor(num.calls), y=num.present) +
+ geom_boxplot() +
+ scale_x_discrete("Number of questions asked") +
+ scale_y_continuous("Number of questions present")
+
+dev.off()
+