阅读ggradar
文档和错误讨论页面,以使用ggradar,必须首先重新缩放数据,这会改变我的数据结构。尽管我在下载ggiraph::ggRadar
当前结果是按比例缩放的百分比:
鉴于此,我希望根据分组变量(域)的平均值对其进行缩放,使其看起来像这样:
用于创建第一个ggradar
图形的数据:
library(tidyverse)
library(scales)
library(ggradar)
df <- tribble(~Question_Code, ~RespondentLevel,
"Engagement - Inclusion", 5,
"External engagement - policies", 2,
"External engagement - technology", 5,
"Community data", 5,
"Internal engagement", 5,
"Internal use of technology", 4,
"Familiarity/Alignment", 5,
"Environmental impacts", 5,
"Innovation", 2,
"Use of open-source technology", 2,
"Regulation of hardware & software", 5,
"In-house technical capacity", 5,
"Infrastructure procurement", 5,
"Algorithmic Error & Bias", 2,
"Control: Privacy", 5,
"Accountability in Governance Structures", 3,
"Open procurement", 5,
"Use in decision-making", 1,
"Accountability", 1,
"External Control", 4,
"Internal Control", 2,
"Open Data", 2)
#add the grouping variable:
df <- df %>% mutate(Domain = c(as.character((rep("Domain 1", 5))),
as.character(rep("Domain 2", 4)),
as.character(rep("Domain 3", 6)),
as.character(rep("Domain 4", 7))))
对于图形本身:
df %>% mutate(ID = 1) %>% spread(Domain, RespondentLevel, fill = 0)%>%
mutate_at(vars(`Domain 1`:`Domain 4`), rescale) %>%
select(ID, `Domain 1`:`Domain 4`) %>%
ggradar(legend.position = "none")
当总结为平均值时,重新缩放的值太小而无法使用,尽管我需要的是按Domain分组的RespondentLevel变量的平均值。