# install package for this customized spider chart
devtools::install_github("ricardo-bion/ggradar", dependencies=TRUE)
library(ggradar)
suppressPackageStartupMessages(library(dplyr))
library(scales)
mtcars %>%
add_rownames( var = "group" ) %>%
mutate_each(funs(rescale), -group) %>%
tail(4) %>% select(1:10) -> mtcars_radar
这是创建蜘蛛/极地图的代码
ggradar(mtcars_radar) #gives you the following spider chart
答案 0 :(得分:4)
这很简单:
mtcars[] <- lapply(mtcars, scales::rescale)
mtcars$group <- rownames(mtcars)
rownames(mtcars) <- NULL # not necessary, really
mtcars_radar <- tail(mtcars, 4)[, c(length(mtcars), 1:9)] # move group to first variable
mtcars_radar
#> group mpg cyl disp hp drat wt
#> 29 Ford Pantera L 0.2297872 1.0 0.6981791 0.7491166 0.6728111 0.4236768
#> 30 Ferrari Dino 0.3957447 0.5 0.1843352 0.4346290 0.3963134 0.3214012
#> 31 Maserati Bora 0.1957447 1.0 0.5734597 1.0000000 0.3594470 0.5259524
#> 32 Volvo 142E 0.4680851 0.0 0.1244699 0.2014134 0.6221198 0.3239581
#> qsec vs am
#> 29 0.00000000 0 1
#> 30 0.11904762 0 1
#> 31 0.01190476 0 1
#> 32 0.48809524 1 1
答案 1 :(得分:1)
%>%
只是获取前面的表达式/函数的结果,并将其作为表达式/函数的第一个参数传递给它。所以以下是等同的......
library(ggradar)
library(dplyr)
library(scales)
mtcars <- add_rownames(mtcars, var = "group")
mtcars <- mutate_each(mtcars, funs(rescale), -group)
mtcars <- tail(mtcars, 4)
mtcars <- select(mtcars, 1:10)
mtcars_radar <- mtcars
ggradar(mtcars_radar)