library(posterdown)
tinytex::pdflatex(choose.files())
library(posterdown)
library(posterdown)
library(posterdown)
library(posterdown)
library(posterdown)
library(posterdown)
library(posterdown)
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library(posterdown)
par(mfrow=c(1,2))
plot(rnorm(20))
plot(cars)
par(mfrow=c(2,1))
plot(rnorm(20))
plot(cars)
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "white") +
coord_sf() +
theme_pander() +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_pander() +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_dark() +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_fivethirtyeight() +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_solarized() +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_solarized() +
theme(plot.margin = unit(0,1,1,0), "in") +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_solarized() +
theme(plot.margin = unit(c(0,1,1,0)), "in") +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_solarized() +
theme(plot.margin = unit(c(0,1,1,0), "in")) +
NULL
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)
canada <- read_sf("data/Canada.geojson")
ggplot() +
ggspatial::layer_spatial(canada, fill = "grey") +
coord_sf() +
theme_solarized() +
theme(plot.margin = unit(c(0,0,0,0), "in")) +
NULL
tinytex::pdflatex(choose.files())
library(posterdown)
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library(posterdown)
install.packages("citr")
citr:::insert_citation()
citr:::insert_citation()
citr:::insert_citation()
citr:::insert_citation()
library(posterdown)
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library(posterdown)
tibble(iris)
iris <- tibble(iris)
data("iris")
tibble(iris)
iris
library(kableExtra)
kable(iris)
kable(iris) %>%
kable_styling()
library(posterdown)
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View(cars)
View(mtcars)
mtcars.tibble <- tibble(mtcars)
mtcars
library(gapminder)
library(gapminder)
install.packages("gapminder")
library(gapminder)
library(gapminder)
ggplot(data = gapminder, aes(x = gdpPercap, y = lifeExp, size = pop, color = country)) +
geom_point(alpha = 0.7, show.legend = FALSE) +
facet_wrap(~continent) +
NULL
library(gapminder)
ggplot(data = gapminder, aes(x = gdpPercap, y = lifeExp, size = pop, color = country)) +
geom_point(alpha = 0.7, show.legend = FALSE) +
scale_colour_manual(values = country_colors) +
facet_wrap(~continent, scales = "free_x") +
NULL
library(gapminder)
ggplot(data = gapminder, aes(x = gdpPercap, y = lifeExp, size = pop, color = country)) +
geom_point(alpha = 0.7, show.legend = FALSE) +
scale_colour_manual(values = country_colors) +
facet_wrap(~continent, scales = "free_x", nrow = 1) +
NULL
library(gapminder)
ggplot(data = gapminder, aes(x = gdpPercap, y = lifeExp, size = pop, color = country)) +
geom_point(alpha = 0.7, show.legend = FALSE) +
scale_colour_manual(values = country_colors) +
facet_wrap(~continent, scales = "free_x", ncol = 1) +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(x = Sepal.Length, colour = Species)) +
geom_boxplot() +
theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(y = Sepal.Length, colour = Species)) +
geom_boxplot() +
theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
geom_boxplot() +
theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
geom_boxplot() +
theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
geom_boxplot() +
# theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
geom_boxplot() +
theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
geom_boxplot(show.legend = FALSE) +
theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(ggthemes)
library(ggplot2)
ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
geom_jitter(show.legend = FALSE) +
theme_tufte() +
labs(x = "Sepal Length", y = "Sepeal Width") +
NULL
library(posterdown)
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library(ggthemes)
rmarkdown::draft("MyJSSArticle.Rmd", template = "packagedown_memoir", package = "posterdown")
rmarkdown::draft("MyJSSArticle.Rmd", template = "posterdown_memoir", package = "posterdown")
library(posterdown)
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