| July 16, 2022
library("ggridges")
library("patchwork")
library("tidyverse")
# load data
df <- readr::read_csv("BioSQuaRE_data.csv")
# wrangling
df$term <- factor(df$term,
levels = c("Summer 2020","Fall 2020",
"Spring 2021", "Fall 2021"))
df_pre <- df |> filter(iter == "pre-test")
df_post <- df |> filter(iter == "post-test")
plot_pre <- df_pre |>
ggplot(aes(x = Item, y = term, height = UCMer, group = term)) +
geom_ridgeline(color = "#DAA900", fill = "#002856") +
labs(title = "BioSQuaRE Results",
subtitle = "pre-test",
caption = "",
x = "Test Question",
y = "") +
theme(
axis.title.x = element_text(size = 20, color = "#DAA900",
vjust = -1.25),
axis.text.x = element_blank(),
axis.text.y = element_text(size = 20, color = "#DAA900",
vjust = -1.25),
axis.ticks = element_blank(),
panel.background = element_rect(fill = "#002856"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.background = element_rect(fill = "#002856"),
plot.title = element_text(face = "bold", size = 30,
color = "#DAA900", hjust = 0.5),
plot.subtitle = element_text(size = 20,
color = "#DAA900", hjust = 0.5)
)
plot_post <- df_post |>
ggplot(aes(x = Item, y = term, height = UCMer, group = term)) +
geom_ridgeline(color = "#DAA900", fill = "#002856") +
labs(title = "",
subtitle = "post-test",
caption = "UC Merced",
x = "Test Question",
y = "") +
scale_y_discrete(position = "right") +
theme(
axis.title.x = element_text(size = 20, color = "#DAA900",
vjust = -1.25),
axis.text.x = element_blank(),
axis.text.y = element_text(size = 20, color = "#DAA900",
vjust = -1.25),
axis.ticks = element_blank(),
panel.background = element_rect(fill = "#002856"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.background = element_rect(fill = "#002856"),
plot.title = element_text(face = "bold", size = 30,
color = "#DAA900", hjust = 0.5),
plot.subtitle = element_text(size = 20,
color = "#DAA900", hjust = 0.5),
plot.caption = element_text(size = 15,
color = "#DAA900", hjust = 1.0)
)