library(cmstatr)
library(tidyverse)
dat <- carbon.fabric.2 %>%
filter(test == "WT") %>%
mutate(condition = ordered(condition, c("CTD", "RTD", "ETW", "ETW2")))
x_vals <- 120:150
dat %>%
group_by(condition) %>%
summarise(mean = mean(strength), sd = sd(strength)) %>%
column_to_rownames("condition") %>%
pmap(function(condition, mean, sd) {
dnorm(x_vals, mean, sd)
}) %>%
map2(
levels(dat$condition),
function(y, c) {
data.frame(condition = c, strength = x_vals, density = y, stringsAsFactors = FALSE)
}) %>%
bind_rows() %>%
ggplot(aes(y = density, x = strength, color = condition)) +
geom_path() +
theme_test() +
ylab("") +
xlab("") +
theme(legend.position = "none",
axis.text.x = element_blank(),
axis.text.y = element_blank(),
plot.background = element_rect(fill = "transparent", color = NA)) +
ggsave("density.svg", width = 1, height = 1, bg = "transparent")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.