Question

我使用包formattable生成格式化表。我找到了一个很好的资源Formatting tables in R。但这里箭头格式的示例仅基于特定列。

我的要求是：假设我有来自不同城市的A列和B列，其中A的因子有两个级别'树木数'和'污染'，而B是这些同比的百分比变化。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。

所以从链接本身中获取示例（信用： Markus Gesmann ），即使对于IBM，即使更改<0，我也要显示一个正绿色箭头。< / p>

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?formatter的文档：

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~，然后在右侧明确写出列名（而不是x）。

基于多列的Formattable

1 个答案: