ggthemr | three different things | Data Visualization library
kandi X-RAY | ggthemr Summary
kandi X-RAY | ggthemr Summary
[Mikata Project] took over ggthemr and will be the primary maintainer of this wonderful package. We would like to thank [@cttobin] for creating this package. We also appreciate that he agreed to pass the repo ownership to Mikata Project. The Mikata Team plans to resolve backlog issues and make ggthemr available on CRAN as the first step.
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ggthemr Examples and Code Snippets
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Trending Discussions on ggthemr
QUESTION
When splitting a basic bar plot with facet_wrap, the strip titles are drawn behind and barely above the plot area, meaning any character descenders are cut off. Is there a way I can space these a little? The problem persists whether or not I use ggthemr.
Thanks!
Example of what I'm talking about:
...ANSWER
Answered 2018-Feb-06 at 14:00You can specify the margins of the element by adding it in the strip.text.x argument, as follows:
QUESTION
I want to give each facet an alpha code, from A to H since there are eight facets, and draw each code on the top-left of each facet:
...ANSWER
Answered 2017-Sep-30 at 04:33library(ggplot2)
d <- data.frame(x=rep(1:3, 4), f=rep(letters[1:4], each=3))
labels <- data.frame(f=letters[1:4], label=LETTERS[1:4])
ggplot(d, aes(x,x)) +
facet_wrap(~f) +
geom_point() +
geom_label(data = labels, aes(label=label),
x = Inf, y = -Inf, hjust=1, vjust=0,
inherit.aes = FALSE)
QUESTION
I tried a new package ggthemr, but I've encountered two problems.
The dataset is:
...ANSWER
Answered 2017-Sep-27 at 14:48library(devtools)
# devtools::install_github('cttobin/ggthemr') # need this to install ggthemr
library(ggthemr)
ggthemr('light', layout = 'scientific',
spacing = 1, type = 'inner', line_weight = 0.6
)
ggplot(tma, aes(invasion, mean, color = sediment)) +
geom_ribbon(
aes(ymin = mean - standard.error,
ymax = mean + standard.error,group = sediment),
alpha = 0.2, color = NA) +
geom_line(size = 1) +
geom_point(show.legend = TRUE) +
facet_grid(type ~ nitrogen, scales = "free_y") +
scale_x_discrete(breaks = NULL, expand = c(0, 0.10)) +
scale_y_continuous(sec.axis = dup_axis(name=NULL))+
theme(legend.position = "bottom",
panel.spacing.x = unit(0.1, "lines"),
panel.spacing.y = unit(0.1, "lines"),
strip.text.x = element_text(size = 10),
strip.text.y = element_text(size = 14, margin = margin(0,0,0,5)),
strip.placement = "outside",
axis.title.y = element_text(size = 14),
axis.title.x = element_text(size = 14)) +
xlab("From not invaded to invaded") +
ylab("Mean with standard error")
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