kfbmisc's Introduction

kfbmisc

kfbmisc is a package full of utility function I find useful

Installation

You can install the development version of kfbmisc from GitHub with:

# install.packages("devtools")
devtools::install_github("kylebutts/kfbmisc")

Utilities

library(kfbmisc)

`ggplot2` theme

This is a relatively simple theme that makes the font larger for figures and adds more margins around things.

library(ggplot2)

ggplot(mtcars) +
  geom_point(aes(x = mpg, y = hp)) +
  labs(
    title = "mtcars Dataset",
    x = "Miles per Gallon", y = "Horsepower"
  ) +
  theme_kyle(base_size = 14)

ggplot(mtcars) +
  geom_point(aes(x = mpg, y = hp)) +
  facet_wrap(~cyl) +
  labs(
    title = "mtcars Dataset",
    x = "Miles per Gallon", y = "Horsepower"
  ) +
  theme_kyle(base_size = 14)

library(sf)
#> Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; sf_use_s2() is TRUE
nc <- st_read(system.file("shape/nc.shp", package="sf"))
#> Reading layer `nc' from data source 
#>   `/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library/sf/shape/nc.shp' 
#>   using driver `ESRI Shapefile'
#> Simple feature collection with 100 features and 14 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
#> Geodetic CRS:  NAD27

ggplot(nc) +
  geom_sf(aes(fill = BIR74)) +
  scale_fill_viridis_c() + 
  theme_kyle(base_size = 14) + 
  theme_map()

`gt` theme

This theme borrow heavily from Thomas Mock

library(gt)

mtcars[1:5, ] |>
  gt() |>
  gt_theme_kyle() |>
  tab_header(title = make_gt_title("mtcars Dataset")) |>
  tab_source_note(source_note = "Data from mtcars in R") |>
  as_raw_html()

mpg	cyl	disp	hp	drat	wt	qsec	vs	am	gear	carb
mtcars Dataset
21.0	6	160	110	3.90	2.620	16.46	0	1	4	4
21.0	6	160	110	3.90	2.875	17.02	0	1	4	4
22.8	4	108	93	3.85	2.320	18.61	1	1	4	1
21.4	6	258	110	3.08	3.215	19.44	1	0	3	1
18.7	8	360	175	3.15	3.440	17.02	0	0	3	2
Data from mtcars in R

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