I am working with some time series data and would like to highlight chart area whenever certain conditions become true. For example:
require(ggplot2)
require(quantmod)
initDate <- "1993-01-31"
endDate <- "2012-08-10"
symbols <- c("SPY")
getSymbols(symbols, from=initDate, to=endDate, index.class=c("POSIXt","POSIXct"))
spy<-SPY$SPY.Adjusted
spy$sma<-SMA(spy$SPY.Adjusted,200)
spy<-spy[-(1:199),]
spy<-as.data.frame(spy)
ggplot(spy,aes(x=index(spy),y=spy$SPY.Adjusted))+geom_line()+geom_line(aes(x=index(spy),y=spy$sma))
The above code plots the the data, but how can I highlight the section when ever close is above sma? This question is similar to How to highlight time ranges on a plot?, but then it is manual. Is there a function in ggplot2 for conditional plotting?
We can use the new data frame containing the data points to be highlighted to add another layer of geom_point(). Note that we have two geom_point(), one for all the data and the other for with data only for the data to be highlighted.
To highlight a bar in base R histogram, we need to understand the X-axis values and pass the col argument inside hist function appropriately. We just need to put a separate value for the bar that we want to highlight and set the colouring of the rest of the bars to 0 (that is default in base R).
Based on code in the TA.R file of the quantmod package, here is code that uses rle
to find the starts and ends of the rectangles.
runs <- rle(as.logical(spy[, 1] > spy[, 2]))
l <- list(start=cumsum(runs$length)[which(runs$values)] - runs$length[which(runs$values)] + 1,
end=cumsum(runs$lengths)[which(runs$values)])
rect <- data.frame(xmin=l$start, xmax=l$end, ymin=-Inf, ymax=Inf)
Combine that with some ggplot2
code from the accepted answer to the question you linked to:
ggplot(spy,aes(x=index(spy),y=spy$SPY.Adjusted))+geom_line()+geom_line(aes(x=index(spy),y=spy$sma))+geom_rect(data=rect, aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax), color="grey20", alpha=0.5, inherit.aes = FALSE)
And you get:
If you reverse the order of plotting and use alpha=1
in geom_rect
it may (or may not) look more like you desire:
ggplot(spy,aes(x=index(spy),y=spy$SPY.Adjusted))+geom_rect(data=rect, aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax), border=NA, color="grey20", alpha=1, inherit.aes = FALSE)+geom_line()+geom_line(aes(x=index(spy),y=spy$sma))
Since you have an xts
object. You may not even want to convert to a data.frame
. Here is how you could plot it using the brand new plot.xts
method in the xtsExtra package created by Michael Weylandt as part of a Google Summer of Code project.
spy <- as.xts(spy)
require(xtsExtra)
plot(spy, screens=1,
blocks=list(start.time=paste(index(spy)[l$start]),
end.time=paste(index(spy)[l$end]), col='lightblue'),
legend.loc='bottomright', auto.legend=TRUE)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With