library(tidyverse)
ggplot(mpg) +
geom_jitter(aes(cty, hwy), size = 4, alpha = 0.5)
This is a dummy blog posts
Heading 1
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nam suscipit est nec dui eleifend, at dictum elit ullamcorper. Aliquam feugiat dictum bibendum. Praesent fermentum laoreet quam, cursus volutpat odio dapibus in. Fusce luctus porttitor vehicula. Donec ac tortor nisi. Donec at lectus tortor. Morbi tempor, nibh non euismod viverra, metus arcu aliquet elit, sed fringilla urna leo vel purus.
Merriweather
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nam suscipit est nec dui eleifend, at dictum elit ullamcorper. Aliquam feugiat dictum bibendum. Praesent fermentum laoreet quam, cursus volutpat odio dapibus in. Fusce luctus porttitor vehicula. Donec ac tortor nisi. Donec at lectus tortor. Morbi tempor, nibh non euismod viverra, metus arcu aliquet elit, sed fringilla urna leo vel purus.
3 - Code
This is inline
code plus a small code chunk.
3 - Tabsets
Code
%>%
preds_lm ggplot(aes(body_mass_g, bill_length_mm, col = correct)) +
geom_jitter(size = 4, alpha = 0.6) +
facet_wrap(vars(species)) +
scale_color_manual(values = c('grey60', thematic::okabe_ito(3)[3])) +
scale_x_continuous(breaks = seq(3000, 6000, 1000)) +
theme_minimal(base_size = 12) +
theme(
legend.position = 'top',
panel.background = element_rect(color = 'black'),
panel.grid.minor = element_blank()
+
) labs(
x = 'Body mass (in g)',
y = 'Bill length (in mm)'
)
Code
<- glm(sex ~ body_mass_g + bill_length_mm + species, family = binomial, data = dat)
glm.mod
<- dat %>%
preds mutate(
prob.fit = glm.mod$fitted.values,
prediction = if_else(prob.fit > 0.5, 'male', 'female'),
correct = if_else(sex == prediction, 'correct', 'incorrect')
)
%>%
preds ggplot(aes(body_mass_g, bill_length_mm, col = correct)) +
geom_jitter(size = 4, alpha = 0.6) +
facet_wrap(vars(species)) +
scale_x_continuous(breaks = seq(3000, 6000, 1000)) +
scale_color_manual(values = c('grey60', thematic::okabe_ito(3)[3])) +
theme_minimal(base_size = 10) +
theme(
legend.position = 'top',
panel.background = element_rect(color = 'black'),
panel.grid.minor = element_blank()
+
) labs(
x = 'Body mass (in g)',
y = 'Bill length (in mm)'
)
4 - Some math stuff
\[ \int_0^1 f(x) \ dx \]
2 - Columns
geom_density(
mapping = NULL,
data = NULL,
stat = "density",
position = "identity",
...,na.rm = FALSE,
orientation = NA,
show.legend = NA,
inherit.aes = TRUE,
outline.type = "upper"
)stat_density(
mapping = NULL,
data = NULL,
geom = "area",
position = "stack",
...,bw = "nrd0",
adjust = 1,
kernel = "gaussian",
n = 512,
trim = FALSE,
na.rm = FALSE,
orientation = NA,
show.legend = NA,
inherit.aes = TRUE
)