标记r雷达图的图形 #子类别价格弹性的R雷达图： #制作数据帧 SUB_CAT

使用

axistype=1

为我提供类似网格的数字

#R-radar map for sub-categories price-elasticity:  
#Make data frame  
SUB_CAT <- c("PRETZEL","PIZZA","ADULT CEREAL", "FAMILY CEREAL", "MOUTHWASH", "MOUTHWASH(ANTISEPTIC)", "KIDS CEREAL") 
Max <- c(2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5) 
Min <- c(0,0,0,0,0,0,0) 
Price_elasticity <- c(1.512, 1.392, 0.3675, 0.2229, 1.2, 0.4676, 2.317) 
PE<- data.frame(SUB_CAT,Max, Min, Price_elasticity)  

#Make radar chart  
M<-PE %>%  
  pivot_longer(cols = -SUB_CAT) %>% 
  pivot_wider(names_from = SUB_CAT, values_from = value) %>%  
  column_to_rownames("name")  

radarchart( M  , axistype=0.5 ,   
            #custom polygon  
            pcol=rgb(0.2,0.5,0.5,0.9) , pfcol=rgb(0.2,0.5,0.5,0.5), plwd=5 ,            
            #custom the grid  
            cglcol="grey", cglty=1, axislabcol="grey", caxislabels=seq(0,3,0.7), cglwd=0.8,        
            #custom labels  
            vlcex=0.5) 

库（fmsb）
图书馆（tidyverse）
#子类别价格弹性的R雷达图：
#制作数据帧
SUB_CAT在
radarchart
的帮助下表示
axistype
：轴的类型，由0:5中的任意一个指定。0表示没有轴标签。1仅表示中心轴标签。2表示仅在图表标签周围。3表示图表（外围）标签的中心和周围。4是1的。*格式，5是3的。*格式。默认值为0。但您指定的是0.5，这是不可接受的。
library(fmsb)
library(tidyverse)

#R-radar map for sub-categories price-elasticity:  
#Make data frame  
SUB_CAT <- c("PRETZEL","PIZZA","ADULT CEREAL", "FAMILY CEREAL", "MOUTHWASH", "MOUTHWASH(ANTISEPTIC)", "KIDS CEREAL") 
Max <- c(2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5) 
Min <- c(0,0,0,0,0,0,0) 
Price_elasticity <- c(1.512, 1.392, 0.3675, 0.2229, 1.2, 0.4676, 2.317) 
PE<- data.frame(SUB_CAT,Max, Min, Price_elasticity)  

#Make radar chart  
M<-PE %>%  
  pivot_longer(cols = -SUB_CAT) %>% 
  pivot_wider(names_from = SUB_CAT, values_from = value) %>%  
  column_to_rownames("name")  

radarchart(M, axistype=1,   
            #custom polygon  
            pcol=rgb(0.2,0.5,0.5,0.9), pfcol=rgb(0.2,0.5,0.5,0.5), plwd=2,            
            #custom the grid  
            cglcol="grey", cglty=1, axislabcol="grey", caxislabels=seq(0,3,0.5), cglwd=0.8,        
            #custom labels  
            vlcex=0.5)