下面的代码说明了我的问题。我想在ggiraphExtra中使用ggRadar函数,因为它允许与图形交互。我想为每种营养素制作一个单独的蜘蛛图,我希望每个蜘蛛图每年都有一组独立的连接点。正如我现在所理解的那样,在ggRadar中,代码mapping = aes(colour = year)
为每年提供单独的点。在facet_wrap中,代码facet_wrap(~ nutrient)
决定了有多少单独的蜘蛛图。
require(ggiraphExtra)
require(ggplot2)
spiderData <- data.frame(year = c("2010", "2010", "2010", "2010", "2030", "2030", "2030", "2030", "2050", "2050", "2050", "2050"),
beverages = c(0.07, 0.02, 0.02, 0.04, 0.09, 0.02, 0.03, 0.06, 0.15, 0.03, 0.05, 0.09),
dairy = c(8.2, 6.46, 5.78, 0, 9.1, 7.16, 6.42, 0, 11.7, 9.21, 8.25, 0),
fish = c(0, 0.01, 0.03, 0, 0, 0.02, 0.05, 0, 0, 0.05, 0.16, 0),
nutrient = c("carbohydrate", "fat", "protein", "total_fiber", "carbohydrate", "fat", "protein", "total_fiber", "carbohydrate", "fat", "protein", "total_fiber"), stringsAsFactors = FALSE)
p <- ggRadar(data = spiderData, mapping = aes(colour = year),
rescale = FALSE, interactive = FALSE, use.label = TRUE, size = 2,
legend.position = "right") + facet_wrap(~ nutrient)
p
此代码生成以下错误消息。
combine_vars出错(数据,参数$ plot_env,vars,drop = params $ drop) :至少一个图层必须包含用于构图的所有变量
对修复的建议表示赞赏!
答案 0 :(得分:1)
供参考,以供他人参考:在代码中指定kwic:summarize()
时只需添加参数facet=nurtient
mapping
编辑:已删除require(ggiraphExtra)
require(ggplot2)
spiderData <- data.frame(year = c("2010", "2010", "2010", "2010", "2030", "2030", "2030", "2030", "2050", "2050", "2050", "2050"),
beverages = c(0.07, 0.02, 0.02, 0.04, 0.09, 0.02, 0.03, 0.06, 0.15, 0.03, 0.05, 0.09),
dairy = c(8.2, 6.46, 5.78, 0, 9.1, 7.16, 6.42, 0, 11.7, 9.21, 8.25, 0),
fish = c(0, 0.01, 0.03, 0, 0, 0.02, 0.05, 0, 0, 0.05, 0.16, 0),
nutrient = c("carbohydrate", "fat", "protein", "total_fiber", "carbohydrate", "fat", "protein", "total_fiber", "carbohydrate", "fat", "protein", "total_fiber"), stringsAsFactors = FALSE)
p <- ggRadar(data = spiderData, mapping = aes(colour = year, facet=nutrient),
rescale = FALSE, interactive = FALSE, use.label = TRUE, size = 2,
legend.position = "right")
p
> devtools::session_info()
version R version 3.4.4 (2018-03-15)
ggplot2 * 3.0.0 2018-07-03 cran (@3.0.0)
ggiraphExtra * 0.2.9 2018-07-22 CRAN (R 3.4.4)