I am using the package formattable
to generate a formatted table. I found a nice resource Formatting tables in R. But here the example of arrow formatting is based only on the specific column.
My requirement is: Say I have from different cities, column A and B, where A has factors with two levels 'Number of Trees' and 'Pollution', while B is the percentage change of these YoY. So I want to format the Column B with a positive green arrow if there has an increase for Column A values being 'Number of Trees' (since it is positive) and red if there is a decrease while for pollution the other way round.
So taking the example (credit: Markus Gesmann) from the link itself, say just for IBM even if the change is <0, I want to show a positive green arrow against it.
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)))
)
Based on the doc at
?formatter
:Apparently, the
x ~
formula style restricts you to use the only the variable itself on the right-hand side. You have to switch to~
and then write the column name explicitly on the right-hand side (instead of asx
).