search for: dmath

...000)), Type = c(rep("Base",1000),rep("Log",1000))) histogram( ~ UnitArea | Type, data = Data.X.., xlab = "Unit Area", type = "density", panel = function(x, ... ){ panel.histogram(x, ...) panel.mathdensity(dmath = dnorm, col = "black", args = list(mean=mean(x),sd=sd(x))) }, col = Colors.[color], layout = c(1, 2), scales=list(log = c(F,T),tick.number=list(8), rot = c(0, 90), x = list(relation = 'free'))) I want to plot on the...

...,300) # Trellis parameters trellis.par.set("superpose.polygon"=list(alpha=rep(.5,3))) histogram(~x ,groups=grouping, type = "density", panel = "panel.superpose", panel.groups = function(x,...) { panel.histogram(x,...) panel.mathdensity(dmath=dnorm,args = list(mean=mean(x),sd=sd(x)),...) }) Besides transparency, I get no filling colors at all in the, even though plot.polygon and superpose.polygon parameters are set. I clearly need to define my own colors with alpha channel set: mycolors = rgb(c(228, 55, 77), c(26,...

I would like to add some vertical lines to a lattice plot of histograms. What I am after is a lattice version of abline(v = 1234). The lattice histogram plot is just: histogram( ~ LTSE | approach, data = arrivals) Can anyone point me in the right direction for this? David Scott _________________________________________________________________ David Scott Department of Statistics The

...;steelblue", panel = function(x, ...){ std <- if(length(x) > 0) format(round(sd(x), 2), nsmall = 2) else "NA" n <- length(x) m <- if(length(x) > 0) format(round(mean(x), 2), nsmall = 2) else "NA" panel.histogram(x, ...) panel.mathdensity(dmath = dnorm, col = "green", args = list(mean=mean(x),sd=sd(x))) panel.abline(v= mean(x), col = "red") panel.xyplot(x = jitter(x),type="p",pch=20,y = rep(0, length(x)), col='yellow' ) x1 <- unit(1, "npc") - u...

I'm an R-beginner and have found the function 'panel.mathdensity' in the full manual. R can't find the function and under 'Description' in the manual it says that they "are available in Trellis". What is it and where can I find the function? Regards, M?rten M?rten Bjellerup Doctoral Student in Economics School of Management and Economics V?xj? University

...","B"),10,replace=TRUE), x2=c("C", rep("D",9)), y=rnorm(10)) print(histogram(~ y | x1+x2, data=Q, panel = function(x, ...) { if (length(x) > 0) { panel.histogram(x, ...) panel.mathdensity(dmath = dnorm, col = "black", args = list(mean=mean(x, na.rm=TRUE), sd=sd(x, na.rm=TRUE))) } })) dev.off() where the resulting pdf file is broken if and only if the panel.mathde...

...sundar.theme()) print( # necessary if the file is source()'d histogram( ~ height | voice.part, data = singer, xlab = "Height (inches)", type = "density", panel = function(x, ...) { panel.histogram(x, ...) panel.mathdensity(dmath = dnorm, col = "black", args = list(mean=mean(x),sd=sd(x))) } ) ) Thanks ../Murli [[alternative HTML version deleted]]

...ated Density", cex = 2, col = "DarkOliveGreen"), panel = function(x, ...) { panel.xyplot(x = jitter(x), y = rep(0, length(x))) panel.densityplot(x, ...) panel.mathdensity(dmath = dnorm, args = list(mean=mean(x),sd=sd(x))) } ) This seem to execute OK, but when I went to look at the graphs, I had the "recording" turned on, and when I tried to PgUp to the first graph, I got the error message: RGUI.EXE appli...

Hello, I have multiple data files. Each file contains a single column and 1.5 million rows. I want to create normalized pdfs (area under curve is 1) and histograms to compare with one another. Could anybody suggest if there exists an easy way or built in function in R. At present I am using Origin and Excel together to do this. A single file needs 10 minutes and I have a total of 929 files! So

. I am looking for a histogram or box plot with the adding normal distribution curve I think that must be possible, but I am not able to find out how to do. Regards Knut

Hello, I am new to R exploratory data analysis and plotting. Is anyone aware of a way to overlay a set of conditional histograms with conditional PDFs? Below, I generate a lattice plot of precipitation histograms based on different months and stations, given a subset of the dataset: histogram(~ data | month * station, data = sta.stack[sta.stack[,"type"]=="precip" &

...de -DHAVE_CONFIG_H -O3 -Wall -pedantic -mtune= core2 -c init_win.c -o init_win.o windres -F pe-x86-64 -i Rlapackrc.rc -o Rlapackrc.o gcc -std=gnu99 -m64 -shared -s -o ../../../bin/x64/Rlapack.dll dlamch.o dlapack. o cmplx.o init_win.o Rlapackrc.o -L../../../bin/x64 -lR -lRblas -lgfortran -lqua dmath gcc -std=gnu99 -m64 -I../../include -DHAVE_CONFIG_H -O3 -Wall -pedantic -mtune= core2 -c Lapack.c -o Lapack.o windres -F pe-x86-64 -i dllversion.rc -o dllversion.o gcc -std=gnu99 -m64 -shared -s -o lapack.dll lapack.def Lapack.o dllversion.o - L../../../bin/x64 -lRlapack -lRblas -lR cp lapack...