Type: | Package |
Title: | Steve's 'ggplot2' Themes and Related Theme Elements |
Depends: | R (≥ 3.5.0) |
Version: | 0.1.0 |
Maintainer: | Steve Miller <steven.v.miller@gmail.com> |
Description: | This is a compilation of my preferred themes and related theme elements for 'ggplot2'. I believe these themes and theme elements are aesthetically pleasing, both for pedagogical instruction and for the presentation of applied statistical research to a wide audience. These themes imply routine use of easily obtained/free fonts, simple forms of which are included in this package. |
URL: | http://svmiller.com/stevethemes/ |
BugReports: | https://github.com/svmiller/stevethemes/issues |
License: | MIT + file LICENSE |
Encoding: | UTF-8 |
LazyData: | true |
RoxygenNote: | 7.2.3 |
Imports: | ggplot2 (≥ 3.3.0), rlang (≥ 1.0.0), systemfonts |
NeedsCompilation: | no |
Packaged: | 2023-01-31 08:01:04 UTC; steve |
Author: | Steve Miller |
Repository: | CRAN |
Date/Publication: | 2023-01-31 16:50:02 UTC |
Miscellaneous functions for fine-tuning ggplot2 plots
Description
These are assorted functions that will fine-tune various things in a ggplot2 plot.
Usage
adj_font_size(x, ...)
Arguments
x |
a numeric vector that will adjust the size of all fonts on the plot. Can take decimals and negative numbers. |
... |
optional, called for side effects |
Details
adj_font_size()
is a simple wrapper for some basic
ggplot2 code that will allow you to adjust the font size on the plot by
some number.
Right now, adj_font_size()
assumes you are using theme_steve()
because the font sizes initialized in the function are defaults from the theme.
Value
adj_font_size()
takes a plot made in ggplot2 and changes
the font size by some number requested by the user. It returns a plot with
bigger or smaller fonts, per the user's request.
Author(s)
Steven V. Miller
Examples
library(ggplot2)
example_plot(type = "scatter") + adj_font_size(-2)
example_plot(type = "scatter") + adj_font_size(2)
Create an example plot (in ggplot2) for experimenting with different styles
Description
example_plot()
allows you to experiment with some
ggplot2 themes, like those in this package, by seeing them applied to
some example plots.
Usage
example_plot(type = "bar")
Arguments
type |
a type |
Details
I'll add more here in a little bit.
Value
example_plot()
returns a plot made in ggplot2, allowing
the user to experiment with different themes to see which ones they like the
best.
Author(s)
Steven V. Miller
Examples
library(ggplot2)
example_plot()
example_plot(type = "faceted_line")
example_plot(type = "scatter")
Get a Custom Color from steve_hex
Description
g_c()
(i.e. *g*et *c*olor) is a simple function that
interfaces with the steve_hex
data frame to return a hex value
associated with a named color.
Usage
g_c(x)
Arguments
x |
a label coinciding with a value in the |
Details
Check steve_hex
in this same package for the custom colors
included
Value
g_c()
returns a character vector, in particular, a hex triplet
that coincides with the label supplied in the function. Use it for specifying
a custom fill or color in a plot.
Author(s)
Steven V. Miller
Examples
g_c("su_blue")
g_c("martel_pink")
Kilowatt Hours per Capita and GDP per Capita, 2010
Description
This is a simple data frame of the GDP per capita and kilowatt hours consumed per capita of over 130 sovereign states in 2010.
Usage
kwh_gdp
Format
A data frame the following 7 variables.
country
the name of the country
iso3c
the three-character ISO code of the country
year
the year of observation (2010)
kwhpc
the electric power consumption (kilowatt hours) per capita of the country
gdppc
the GDP per capita of the country in current USD
ln_kwhpc
the (log-transformed) electric power consumption (kilowatt hours) per capita of the country
ln_gdppc
the (log-transformed) GDP per capita of the country in current USD
Details
Data come from a use of the WDI()
function in the WDI
package. The GDP per capita data come from a combination of the World Bank
and OECD. The energy consumption data come from the International Energy
Agency. Data exist to be used in a simple scatterplot.
CAGEMATCH Ratings of Rick Martel
Description
This is a simple data frame of ratings (on a 1-10 scale) of Rick Martel.
Usage
martel_ratings
Format
A data frame the following 2 variables.
date
a date vector for when the rating was posted on CAGEMATCH
value
an individual person's rating of Rick Martel (on a 1-10 scale)
Details
Data exist to be used an example bar chart. CAGEMATCH (stylized in all caps) is an internet wrestling database, for which these ratings are fan submissions. Rick Martel is an objective 10/10.
Miscellaneous functions to make your ggplot2 plot "print-ready"
Description
These are assorted functions that will make your plot "print-ready" by removing gridlines and giving hard-line axes to the plot. These are typically changes requested by publishes for the printing process.
Usage
no_gridlines(...)
make_classic(...)
Arguments
... |
optional, called for side effects |
Details
no_gridlines()
is a simple wrapper for some basic
ggplot2 code that will allow you to remove gridlines from the plot.
make_classic()
removes gridlines, removes the default gray background,
*and* imposes a black, solid line on both axes. It will also hard code the
axis text to be black. Using the latter with the former is likely redundant.
You will want to put these functions after a theme you've declared. If you run this before adding a theme over it, the theme you add will probably overwrite this function.
Value
no_gridlines()
takes a plot made in ggplot2 and removes
the gridlines from the plot before returning it to the user.
make_classic()
takes a plot made in ggplot2 and removes the
gridlines, gray background, and adds solid axes to the plot.
Author(s)
Steven V. Miller
Examples
library(ggplot2)
example_plot(type = "scatter")
example_plot(type='scatter') + no_gridlines()
example_plot(type='scatter') + make_classic()
GDP per Capita of Swedish Counties, 2001-2020
Description
This is a simple data frame of the GDP per capita of Swedish counties from 2001 to 2020.
Usage
se_counties_gdppc
Format
A data frame the following 4 variables.
nuts
the Nomenclature of Territorial Units for Statistics (NUTS) code for the county
county
the name of the county
year
the year of observation
value
the GDP per capita of the county in nominal SEK
Details
Data come from the OECD and exist to be used as a faceted line chart.
Some Hex Triplets I Find Useful/Interesting/Fun
Description
This is a simple data frame with labels corresponding to hex triplets (i.e. web colors) that I find useful, interesting, or fun.
Usage
steve_hex
Format
A data frame the following 2 variables.
color
a character vector describing the color in question
hex
a hex triplet (with preceding hashtag) of the color
Details
Data exist to be used by g_c()
in this same package.
Steve's Preferred ggplot2 Themes and Assorted Stuff
Description
theme_steve()
is my default theme framework for graphs I
make with ggplot2. It starts theme_bw()
, which is available in
ggplot2, but adjusts the margins and axes a bit to my liking. The end
result is, I think, a lovely template for graphs I make in R.
Usage
theme_steve(style = "web", font, ...)
Arguments
style |
various styles/adjustments to make to the base theme. Must be one of the following: "web" (default), "ms", "fira", "custom", or "generic". The "custom" style is a fancy way of saying "supply your own fonts". Where "custom" is used in this argument, something must be supplied to the font argument in this same function. |
font |
a character vector corresponding with a font that the user ideally has installed on their operating system. |
... |
optional, called for side effects |
Details
The best use of this function may involve the fonts you have installed on your system. The user should experiment with various options to see what they like. The "generic" style will use default ggplot2 fonts.
Value
No return value. Function is used for its side effect, which is to format a plot made in the ggplot2 package.
Examples
library(ggplot2)
# Experiment with options, those this depends on fonts you have installed.
example_plot() + theme_steve(style='generic')