The goal of funcr is to help maintain consistency in figures. If you
have any problems or improvements to suggest please post theme
here.
You can install the released version of fngr from GitHub with:
# install.packages("devtools")
devtools::install_github("ben-williams/funcr")Load the package library per usual:
library(funcr)
library(tidyverse)
library(scales)Create data for this example
data.frame(year = 1973:2017, age = 1:5) %>%
mutate(y = rnorm(n(), 10, 5)) -> dfBase ggplot produces a figure with a grey background, white gridlines,
and no figure border. Further the font is not in Times New Roman
(standard for ADF&G reports). There are some other characteristics
dealing with resolution etc that are explained in greater depth
here
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area()
To make all figures have the same apperance and font set the “universal”
figure theme to theme_report() (based off of Sean Anderson’s
theme_sleek()).
theme_set(theme_report())Create the same figure with the new theme settings. theme_report() is
set to generate figures with a Time New Roman 11 pt font.
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area()
R comes with only a few fonts installed.
windowsFonts()
#> $serif
#> [1] "TT Times New Roman"
#>
#> $sans
#> [1] "TT Arial"
#>
#> $mono
#> [1] "TT Courier New"
#>
#> $Times
#> [1] "TT Times New Roman"Time New Roman is not a great font for presentations, and neither is a 11 pt font. These can be easily adjusted.
theme_set(theme_report(base_family = "sans", base_size = 18))
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area()
More fonts are available via the extrafont package. This was loaded on
your machine along with the funcr package.
First you must load the available fonts (Note that this must be done every time you update R). There are a lot of fonts (likely more than necessary) and it will take a long time to load all of them.
# results of font_import() not shown
extrafont::font_import()Once the fonts have loaded you can explore all of the available options. This will generate a long list of available fonts (Note you will need to loadfonts() during every R session that you want to use somethinging other than the base fonts).
extrafont::loadfonts(device = "win")Update the base_family font and base_size in the theme_set() if
you want something different than 11 pt.
theme_set(theme_report(base_family = "Comic Sans MS", base_size = 20))
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area()
Presentation ready figure can be generated by changing the theme to
theme_present(). This provides an 18 pt Arial font. Note that axis
labels may need to be adjusted to account for the increased font size.
ggplot(df, aes(year, age, size = y)) +
geom_point() +
theme_present()
Revert back to the original theme_report() font.
theme_set(theme_report())The basic ggplot figure spaces years (x-axis) about every 5-10,
depending on the timeseries length. Note that there are not any tick
marks between the axis labels.
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area()
One could manually define the axis breaks (ticks).
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area() +
scale_x_continuous(breaks = seq(1973, 2017, 3))
Or use pretty_breaks() from the scales library.
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area() +
scale_x_continuous(breaks = scales::pretty_breaks(n = 15))
These provide more ticks and labels, but don’t place marks between the labels.
Tick marks can be adjusted manually.
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area() +
scale_x_continuous(breaks = c(1975, 1980, 2000),
labels = c("1975", "1980", "2000"))
More clearly, but with greater difficulty each year can be assigned a
tickmark via breaks = and each tick mark is labeled via labels =.
This is a viable, though cludgy method.
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_size_area() +
scale_x_continuous(breaks = 1973:2017,
labels = c(rep("", 2), "1975", rep("", 4), "1980",
rep("", 4), "1985", rep("", 4), "1990",
rep("", 4), "1995", rep("", 4), "2000",
rep("", 4), "2005", rep("", 4), "2010",
rep("", 4), "2015", rep("", 2)))
The tickr() function will provide tick marks for every year (or age)
and labels at a defined frequency.
Using tickr() the base level of labels is set at every 5th value.
xaxis = tickr(df, year)
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_x_continuous(breaks = xaxis$breaks, labels = xaxis$labels) 
This can be adjusted easily.
xaxis = tickr(df, year, 7)
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_x_continuous(breaks = xaxis$breaks, labels = xaxis$labels) 
Additionally start and end values can be defined.
xaxis = tickr(df, year, 7, start = 1973, end = 2014)
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_x_continuous(breaks = xaxis$breaks, labels = xaxis$labels) 
Just the start value.
xaxis = tickr(df, year, 7, start = 1977)
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_x_continuous(breaks = xaxis$breaks, labels = xaxis$labels) 
Just the end value.
xaxis = tickr(df, year, 7, end = 2010)
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_x_continuous(breaks = xaxis$breaks, labels = xaxis$labels) 
The start and end values can also be extended beyond the set axis by adjusting the limits.
xaxis = tickr(df, year, 7, end = 2030)
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_x_continuous(breaks = xaxis$breaks, labels = xaxis$labels, limits = c(1970, 2030)) 
xaxis = tickr(df, year, 7, start = 1970, end = 2030)
ggplot(df, aes(year, age, size = y)) +
geom_point() +
scale_x_continuous(breaks = xaxis$breaks, labels = xaxis$labels, limits = c(1970, 2030)) 
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