R：ggvis - 灰色背景（如 ggplot2）答案

【问题标题】：R: ggvis - gray background (as ggplot2)R：ggvis - 灰色背景（如 ggplot2）
【发布时间】：2015-02-15 04:31:31
【问题描述】：

我想要 Ggvis 中的 ggplot2 外观和感觉。有没有办法在 ggvis 中实现这一点？

我从 ggvis 得到这个：

注意：
1) 不喜欢白色背景（ggplot2 中的灰色背景更好
2）如您所见，这些条形有一条黑线轮廓。怎么搭车？

我的代码：

Visitas_Por_Fuente %>%
        ggvis(~Fuentes, ~sessions) %>%
          layer_bars(width = 0.8, fill = ~Fuentes)

我的数据：

    as.data.frame(structure(list(date = structure(c(1417410000, 1417410000, 1417410000, 
1417410000, 1417410000, 1417410000, 1417496400, 1417496400, 1417496400, 
1417496400, 1417496400, 1417496400, 1417496400, 1417582800, 1417582800, 
1417582800, 1417582800, 1417582800, 1417582800, 1417582800, 1417669200, 
1417669200, 1417669200, 1417669200, 1417669200, 1417669200, 1417669200, 
1417755600, 1417755600, 1417755600, 1417755600, 1417755600, 1417755600, 
1417842000, 1417842000, 1417842000, 1417842000, 1417842000, 1417842000, 
1417842000, 1417928400, 1417928400, 1417928400, 1417928400, 1417928400, 
1417928400, 1417928400, 1418014800, 1418014800, 1418014800, 1418014800, 
1418014800, 1418014800, 1418014800, 1418101200, 1418101200, 1418101200, 
1418101200, 1418101200, 1418101200, 1418101200, 1418187600, 1418187600, 
1418187600, 1418187600, 1418187600, 1418187600, 1418187600, 1418274000, 
1418274000, 1418274000, 1418274000, 1418274000, 1418274000, 1418274000, 
1418360400, 1418360400, 1418360400, 1418360400, 1418360400, 1418360400, 
1418360400, 1418446800, 1418446800, 1418446800, 1418446800, 1418446800, 
1418446800, 1418446800, 1418533200, 1418533200, 1418533200, 1418533200, 
1418533200, 1418533200, 1418533200, 1418619600, 1418619600, 1418619600, 
1418619600, 1418619600, 1418619600, 1418619600, 1418706000, 1418706000, 
1418706000, 1418706000, 1418706000, 1418706000, 1418706000, 1418792400, 
1418792400, 1418792400, 1418792400, 1418792400, 1418792400, 1418792400, 
1418878800, 1418878800, 1418878800, 1418878800, 1418878800, 1418878800, 
1418878800, 1418965200, 1418965200, 1418965200, 1418965200, 1418965200, 
1418965200, 1418965200, 1419051600, 1419051600, 1419051600, 1419051600, 
1419051600, 1419051600, 1419051600, 1419138000, 1419138000, 1419138000, 
1419138000, 1419138000, 1419138000, 1419224400, 1419224400, 1419224400, 
1419224400, 1419224400, 1419224400, 1419224400, 1419310800, 1419310800, 
1419310800, 1419310800, 1419310800, 1419310800, 1419397200, 1419397200, 
1419397200, 1419397200, 1419397200, 1419397200, 1419397200, 1419483600, 
1419483600, 1419483600, 1419483600, 1419483600, 1419483600, 1419483600, 
1419570000, 1419570000, 1419570000, 1419570000, 1419570000, 1419570000, 
1419656400, 1419656400, 1419656400, 1419656400, 1419656400, 1419656400, 
1419742800, 1419742800, 1419742800, 1419742800, 1419742800, 1419742800, 
1419742800, 1419829200, 1419829200, 1419829200, 1419829200, 1419829200, 
1419829200, 1419915600, 1419915600, 1419915600, 1419915600, 1419915600, 
1419915600, 1419915600, 1420002000, 1420002000, 1420002000, 1420002000, 
1420002000), class = c("POSIXct", "POSIXt"), tzone = "America/Lima"), 
    Fuentes = c("Adwords", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Adwords", 
    "Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Adwords", 
    "Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Adwords", 
    "Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Adwords", 
    "Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Adwords", 
    "Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Adwords", 
    "Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Campañas", 
    "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Campañas", 
    "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media", 
    "Adwords", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias", 
    "SEO", "Social Media", "Adwords", "Campañas", "Directo", 
    "Email", "Referencias", "SEO", "Social Media", "Directo", 
    "Email", "Referencias", "SEO", "Social Media"), sessions = c(10L, 
    326L, 18L, 527L, 999L, 52L, 3L, 7L, 324L, 19L, 498L, 933L, 
    44L, 5L, 12L, 363L, 15L, 546L, 1206L, 202L, 7L, 12L, 1122L, 
    27L, 1249L, 5168L, 607L, 17L, 432L, 22L, 527L, 1553L, 637L, 
    5L, 5L, 356L, 16L, 507L, 1901L, 487L, 4L, 8L, 312L, 30L, 
    500L, 1622L, 370L, 3L, 11L, 341L, 18L, 504L, 1312L, 352L, 
    2L, 13L, 1188L, 33L, 682L, 2008L, 1508L, 3L, 15L, 1086L, 
    36L, 646L, 2124L, 380L, 3L, 11L, 355L, 17L, 383L, 1054L, 
    236L, 2L, 9L, 321L, 15L, 370L, 1118L, 245L, 7L, 9L, 259L, 
    13L, 332L, 1261L, 230L, 3L, 7L, 539L, 9L, 626L, 2336L, 256L, 
    1L, 12L, 292L, 8L, 386L, 1070L, 220L, 1L, 12L, 278L, 9L, 
    393L, 1129L, 22L, 1L, 16L, 521L, 18L, 665L, 2400L, 20L, 1L, 
    13L, 204L, 7L, 258L, 789L, 11L, 2L, 12L, 253L, 6L, 277L, 
    803L, 9L, 1L, 4L, 262L, 8L, 324L, 960L, 9L, 3L, 442L, 15L, 
    516L, 1890L, 16L, 2L, 14L, 249L, 8L, 240L, 688L, 11L, 15L, 
    182L, 7L, 200L, 548L, 5L, 2L, 3L, 171L, 7L, 183L, 480L, 5L, 
    1L, 3L, 176L, 5L, 231L, 506L, 6L, 15L, 283L, 18L, 322L, 786L, 
    11L, 13L, 210L, 9L, 232L, 649L, 2L, 1L, 2L, 258L, 4L, 306L, 
    891L, 9L, 4L, 183L, 10L, 293L, 634L, 4L, 1L, 3L, 188L, 9L, 
    244L, 566L, 11L, 134L, 1L, 176L, 453L, 4L)), .Names = c("date", 
"Fuentes", "sessions"), row.names = c(NA, -208L), class = c("grouped_df", 
"tbl_df", "tbl", "data.frame"), vars = list(date), drop = TRUE))

【问题讨论】：

出于某种原因，ggvis 无法识别“Campañas”中的“ñ”。如何让它出现？
不确定是否需要将 factor() 放入此代码 - 它已经是分类的
@jalapic，最好不要使用 factor()。它给我带来了闪亮的问题。在 Shiny 中，它第一次绘制正确，但在更改 datarangeInput 后，绘图消失了。如果您取消 ~factor() 部分，则不会发生这种情况。我已更改代码以反映这一点。
我相信通过使用layer_rects()，您可能能够改变背景情节的外观。
您是否在新的会话中测试了您的代码？ Error in eval(expr, envir, enclos) : object 'Fuentes' not found

标签： r ggvis

【解决方案1】：

如果您的输出是 Shiny 应用程序或 Shiny 文档，您可以使用一些 css 更改背景颜色。请注意，只有当 ggvis 显示为 svg（不是画布）时，这才能正常工作。另请注意，它不会在 Rstudio 查看器中正确显示。在创建 ggvis 之前将其添加到文档中的某处：

<style type="text/css">
rect.background {
  fill: #E6E6E6 !important;
}
</style>

然后要获得白色网格线并删除条形边框，您的代码应如下所示

Visitas_Por_Fuente %>%
        ggvis(~Fuentes, ~sessions) %>%
          layer_bars(width = 0.8, fill = ~Fuentes, strokeWidth := 0) %>%
          add_axis("x", properties = axis_props(grid = list(stroke = "white"))) %>%
          add_axis("y", properties = axis_props(grid = list(stroke = "white")))

编辑：这是一个显示要做什么的最小 .Rmd 文档。在 Rstudio 中打开它，然后单击“运行文档”以查看结果。

---
title: "Untitled"
output: html_document
runtime: shiny
---

<style type="text/css">
rect.background {
  fill: #E6E6E6 !important;
}
</style>

```{r, echo=FALSE}
library(ggvis)
mtcars %>%
  ggvis(~cyl, ~mpg) %>%
  layer_bars(width = 0.8, fill:= "slateblue", strokeWidth := 0) %>%
  add_axis("x", properties = axis_props(grid = list(stroke = "white"))) %>%
  add_axis("y", properties = axis_props(grid = list(stroke = "white")))
```

【讨论】：