I currently have a formattable table such as the following example:
library(data.table)
library(dplyr)
library(formattable)
library(tidyr)
customGreen0 = "#DeF7E9"
customGreen = "#71CA97"
customRed = "#ff7f7f"
austinData= fread('https://raw.githubusercontent.com/lgellis/MiscTutorial/master/Austin/Imagine_Austin_Indicators.csv', data.table=FALSE, header = TRUE, stringsAsFactors = FALSE)
attach(austinData)
i1 <- austinData %>%
filter(`Indicator Name` %in%
c('Prevalence of Obesity', 'Prevalence of Tobacco Use',
'Prevalence of Cardiovascular Disease', 'Prevalence of Diabetes')) %>%
select(c(`Indicator Name`, `2011`, `2012`, `2013`, `2014`, `2015`, `2016`)) %>%
mutate (Average = round(rowMeans(
cbind(`2011`, `2012`, `2013`, `2014`, `2015`, `2016`), na.rm=T),2),
`Improvement` = round((`2011`-`2016`)/`2011`*100,2))
i1
color_bar3 <- function (color = "#49CA69", fun = "proportion", ...)
{
fun <- match.fun(fun)
formatter("span", style = function(x) style(display = "inline-block",
`border-radius` = "5px", `padding-left` = "3px",
`background-color` = csscolor(color),
width = percent(fun(as.numeric(gsub(",", "", x)), ...))))
}
formattable(i1, align =c("l","c","c","c","r", "c", "l", "l", "r"), list(
`Indicator Name` = formatter("span", style = ~ style(color = "grey",font.weight = "bold")),
`2011`= color_tile(customGreen, customGreen0),
`2012`= color_tile(customGreen, customGreen0),
`2013`= color_tile(customGreen, customGreen0),
`2014`= color_bar(customRed),
`2015`= color_tile(customGreen, customGreen0),
`2016`= color_bar(customGreen),
`Average` = color_bar3(customRed)
))
having this table:
What I want to do but I have not found the way is: As you can see the Average column is using a redish color....
How do I change the bar colors of the Average column only if I am in row 2 (Prevalence of Tobacco Use) or row 4 (Prevalence of Diabetes) to blue?
In other words i want the Average bars in red if I am in row 1 and 3 or in blue if I am in rows 2 and 4. Something like the following:
thanks!
CodePudding user response:
You can add a vector for the Average
column to set the colours:
formattable(i1, align =c("l","c","c","c","r", "c", "l", "l", "r"), list(
`Indicator Name` = formatter("span", style = ~ style(color = "grey",font.weight = "bold")),
`2011`= color_tile(customGreen, customGreen0),
`2012`= color_tile(customGreen, customGreen0),
`2013`= color_tile(customGreen, customGreen0),
`2014`= color_bar(customRed),
`2015`= color_tile(customGreen, customGreen0),
`2016`= color_bar(customGreen),
`Average` = color_bar3(c(customRed,"blue",customRed,"blue"))
))
CodePudding user response:
We may use the row/col
in area
formattable(i1, align =c("l","c","c","c","r", "c", "l", "l", "r"), list(
`Indicator Name` = formatter("span", style = ~ style(color = "grey",font.weight = "bold")),
`2011`= color_tile(customGreen, customGreen0),
`2012`= color_tile(customGreen, customGreen0),
`2013`= color_tile(customGreen, customGreen0),
`2014`= color_bar(customRed),
`2015`= color_tile(customGreen, customGreen0),
`2016`= color_bar(customGreen),
area(row = c(1, 3), col = `Average`) ~ color_bar3(customRed),
area(row = c(2, 4), col = `Average`) ~ color_bar3("lightblue")
))
-output