Hi, There are a number of functions that will transform numeric values into colors. One is color.scale in the plotrix package. This accepts a vector of numeric values and linearly transforms them into one or more ranges of colors. The resulting colors can then be passed to the appropriate arguments in your plotting function.
Jim On Sun, May 15, 2022 at 3:48 PM De Simone <de.simone.belind...@gmail.com> wrote: > > Hi, > Excuse me for this silly question > how do I get a colour gradient like the one attached. Colours are a bit > limited > Any specific code for the reference line and pseudo confidence lines. I use > "lty", but this do both > > Here is my argument > > dat <- escalc("MD", m1i=Mean_TAP, sd1i= SD_TAP, n1i= N_TAP, > m2i=Mean_caudal, sd2i= SD_caudal, n2i= N_caudal, slab=Study, data= > Duration_of_analgesia) > > > > res <- rma(yi, vi, data=dat, measure="MD", method="DL") > > > funnel(res, main="Duration of analegsia", back = 12, xlab="Mean difference > (hours)", cex = 1.2, lwd = 2, lty = "solid", mgp = c(2, 1, 0), font.main = > 1, font.lab = 2, font.axis = 2) > > Thank you > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.