ggradar

0.1 ggradar

[reference] https://github.com/ricardo-bion/ggradar

ggradar allows you to build radar charts with ggplot2. This package is based on Paul Williamson’s code, with new aesthetics and compatibility with ggplot2 2.0.

ggplot2 now has an official extension mechanism. This means that others can now easily create their own stats, geoms and positions, and provide them in other packages. This should allow the ggplot2 community to flourish, even as less development work happens in ggplot2 itself. This page showcases these extensions.

0.1.1 Packages Loading

library(ggplot2)
library(ggradar)
suppressPackageStartupMessages(library(dplyr))
library(scales)
library(knitr)

0.1.2 Transform

head(mtcars)

##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

mtcars %>%
     add_rownames( var = "group" ) %>%
     mutate_each(funs(rescale), -group) %>%
     tail(4) %>% select(1:10) -> mtcars_radar

0.1.3 Plot

ggradar(mtcars_radar)

0.1.4 table

kable(mtcars_radar,format="markdown")

group	mpg	cyl	disp	hp	drat	wt	qsec	vs	am
Ford Pantera L	0.2297872	1.0	0.6981791	0.7491166	0.6728111	0.4236768	0.0000000	0	1
Ferrari Dino	0.3957447	0.5	0.1843352	0.4346290	0.3963134	0.3214012	0.1190476	0	1
Maserati Bora	0.1957447	1.0	0.5734597	1.0000000	0.3594470	0.5259524	0.0119048	0	1
Volvo 142E	0.4680851	0.0	0.1244699	0.2014134	0.6221198	0.3239581	0.4880952	1	1