我真的很喜欢Flexdashboards和Shinydashboards中R的valueboxes的简洁外观:
是否有使用熟悉的工具(即ggplot2
)的包装或配方可以轻松生成静态报告的类似输出?例如,在从RMarkdown编织的PDF文档中
编辑:
经过几次尝试,我使用ggplot2获得了一些有用的东西(下面的答案)。欢迎其他答案!
最佳答案
我使用Emojifont R package扩展了HAVB的答案,以使外观更像值框。
以下是从HAVB的答案中修改的代码,其中包括超酷的字体图标和表情符号。我也将文本部分分解为大(value
)和小(info
)文本,以便可以对它们进行不同大小调整。
library(ggplot2)
library(emojifont)
df <- data.frame(
x = rep(seq(2, 15, 6.5), 2),
y = c(rep(6.5, 3), rep(2,3)),
h = rep(4.25, 6),
w = rep(6.25, 6),
value = c("78%",
"+10K",
"8/10",
"ALL",
"6",
"< 0.5"),
info = c("meaningless plots",
"hours wasted",
"zombies prefer brains",
"dogs go to heaven",
"infoboxes",
"target pvalue"),
shape = c(fontawesome(search_fontawesome("chart")),
emoji("athletic_shoe")),
font_family = c(rep("fontawesome-webfont", 5),
"EmojiOne"),
color = factor(1:6)
)
ggplot(df, aes(x, y, height = h, width = w, label = info)) +
geom_tile(aes(fill = color)) +
geom_text(color = "white", fontface = "bold", size = 10,
aes(label = value, x = x - 2.9, y = y + 1), hjust = 0) +
geom_text(color = "white", fontface = "bold",
aes(label = info, x = x - 2.9, y = y - 1), hjust = 0) +
coord_fixed() +
scale_fill_brewer(type = "qual",palette = "Dark2") +
geom_text(size = 20, aes(label = shape, family = font_family,
x = x + 1.5, y = y + 0.5), alpha = 0.25) +
theme_void() +
guides(fill = FALSE)
我认为结果是相当不错的,可以进一步改进以使其在美学上更令人愉悦。