search for: logpower

...in(x,y), max(x,y)), ylim = c(min(x,y), max(x,y)),...) panel.xyplot(x, y, ...) panel.abline(a = 0, b = 1, lty = 2, col ="gray") panel.text(x, y, labels=mydata$name[subscripts]) }, subscripts=TRUE, xscale.components = xscale.components.logpower, yscale.components = yscale.components.logpower ) in attachment http://r.789695.n4.nabble.com/file/n4511897/my_example.png my_example.png -- View this message in context: http://r.789695.n4.nabble.com/xyplot-lattice-fine-control-of-axes-limits-and-thick-marks-with-log-scale-tp451189...

...cex = 0.7, pos=3, offset=1, srt=0, adj=c(1,1)) #alternative to the use of panel.text #ltext(x=x, y=y, labels=tv.ms$inq[subscripts], pos=1, cex=0.8) }, #subscripts=TRUE, xscale.components = function(...) { ans <- xscale.components.logpower(...) range <- ans$num.limit newtck <- round(seq(range[1],range[2],l=7),1) ans$bottom$ticks$at <- newtck ans$bottom$labels$at <- newtck ans$bottom$labels$labels <-parse(text=paste('10^',newtck,sep='')) a...

Hello R experts, what follows is my reproducible example: mydata<-structure(list(ped.avg = c(335.9, 110.8, 645.7, 638.9, 1468.1, 126.4, 4811.1, 88.5, 868.5, 656.6, 723.6, 654, 2.8, 15, 14.2, 17.5, 15.4, 112.1, 424.7, 18.3, 19.9, 28.6, 25.6, 23.5, 15.4, 27, 62.1, 15.6, 74.6), ped.erst = c(96, 53.2, 615.2, 616.5, 512.9, 56.2, 1851.8, 57.1, 579.5, 613.2, 601.1, 613.6, 1.3, 6.3, 6.5, 6.1,

...rgument scales accept "log", and "that this is in reality a transformation of the data, not the axes." So the plot I would like to get is similar to xyplot(Sepal.Length*10e3 ~ Sepal.Width, iris, scales=list(y=list(log=10)), yscale.components = yscale.components.logpower) but without transforming the variables In summary I would like to be able to use some sort of exp(10) instead than log(10). Any suggestion to accomplish this? Thanks in advance 8rino

Hello, I am trying to alter the way in which lattice functions (specifically xyplot) print the axis labels when one uses the 'scales' parameter. I can obtain the effect I want by using scales=list(y=list(log=10, labels=expression(yvalues))) where yvalues are the values that would have been printed as the y-axis labels if the "labels" argument had not been present. To help

by considering this example from barley dataset #code start dotplot(variety ~ yield | site, data = barley, scales=list(x=list(log=TRUE)), layout = c(1,6), panel = function(...) { panel.dotplot(...) #median.values <- tapply(x, y, median) # medians for each variety #panel.abline(v=median.values, col.line="red") # but this