基于多列的Formattable

Question

我正在使用该包formattable生成格式化表.我在R中找到了一个很好的资源格式表.但这里箭头格式的示例仅基于特定列.

我的要求是:假设我来自不同的城市,A列和B列,其中A的因子有两个级别'树木数量'和'污染',而B是这些同比的变化百分比.因此,如果A列值增加为"树木数量"(因为它是正数),我希望用正绿色箭头格式化B列,如果减少则为红色,而对于污染则为反向.

因此,从链接本身中获取示例(信用:Markus Gesmann),即使对于IBM,即使更改<0,我也希望显示一个积极的绿色箭头.

library(formattable)
DF <- data.frame(Ticker=c("", "", "", "IBM", "AAPL", "MSFT"),
             Name=c("Dow Jones", "S&P 500", "Technology", 
                    "IBM", "Apple", "Microsoft"),
             Value=accounting(c(15988.08, 1880.33, NA, 
                                130.00, 97.05, 50.99)),
             Change=percent(c(-0.0239, -0.0216, 0.021, 
                              -0.0219, -0.0248, -0.0399)))
DF
##   Ticker       Name     Value Change
## 1         Dow Jones 15,988.08 -2.39%
## 2           S&P 500  1,880.33 -2.16%
## 3        Technology        NA  2.10%
## 4    IBM        IBM    130.00 -2.19%
## 5   AAPL      Apple     97.05 -2.48%
## 6   MSFT  Microsoft     50.99 -3.99%
formattable(DF, list(
  Name=formatter(
    "span",
    style = x ~ ifelse(x == "Technology", 
                       style(font.weight = "bold"), NA)),
  Value = color_tile("white", "orange"),
  Change = formatter(
    "span",
    style = x ~ style(color = ifelse(x < 0 , "red", "green")),
    x ~ icontext(ifelse(x < 0, "arrow-down", "arrow-up"), x)))
)

Answer 1

基于以下文档?formatter:

formattable(DF, list(
  Name=formatter(
    "span",
    style = x ~ ifelse(x == "Technology", 
                       style(font.weight = "bold"), NA)),
  Value = color_tile("white", "orange"),
  Change = formatter(
    "span",
    style = ~ style(color = ifelse(Change < 0 & Ticker != "IBM", "red", "green")),
    ~ icontext(ifelse(Change < 0 & Name != "IBM", "arrow-down", "arrow-up"), Change)))
)

显然,x ~公式样式限制您在右侧使用唯一的变量本身.您必须切换到~,然后在右侧(而不是as x)显式写入列名.