search for: xplot

...of the data, e.g., using a sequence of plot( ) and lines ( ) similar to those below plot(dep12spp13ph1$DAYSWETm2,dep12spp13ph1$AFTERDECOMP,pch=dep12spp13ph1$spp,cex=0.75,ylab="Proportion of biomass after leaching", xlab="Number of days in wetland",xlim=c(0,250),ylim=c(0,1)) xplot<- 0:243 xplotbsk64deg1<-bs(xplot,knot=62,degree=1,Boundary.knots=c(0,243)) lines(xplot,exp(xplotbsk64deg1 %*% ph1.decomp.75.bs$coef[c(1,2)]),col="blue") lines(xplot,exp(xplotbsk64deg1 %*% ph1.decomp.75.bs$coef[c(3,4)]),col="red") and then attempt to copy the resulting g...

Hi everyone. I'm trying to create a graph where I could plot some lines on the right side. Here an example: layout(matrix(c(1,2), 1, 2, byrow = TRUE), widths=c(6,2), heights=c(1,1)) x = 1:100y = rnorm(x)+xplot(x,y) reg = lm(y~x)abline(reg, col = "red") plot(1, type="n", axes=F, xlab="", ylab="", xlim = c(-1,1), ylim = c(min(y), max(x)))segments(-0.25,min(reg$fitted.values),0.25,min(reg$fitted.values))segments(-0.25,max(reg$fitted.values),0.25,max(reg$fitted.values)...

Hi all, I know how to use pdf() and dev.off() to produce and save a graph. However, when I put them in a function say myplot(x=1:20){ pdf("xplot.pdf") plot(x) dev.off() } the function work. But is there a way show the graph in R as well as saving it to the workspace? Thanks. casper ----- ################################################### PhD candidate in Statistics School of Mathematics, Statistics and Actuarial Science, Unive...

...e % of YLLs for each group in the cause classification. x <- tapply(z$yllperdth, z[, fld], sum) totalYLLs <- sum(x) x <- x / totalYLLs * 100 x <- sort(x) ## Plot the chart. horiz = TRUE makes it a bar instead of ## column chart. las = 1 prints the labels horizontally. xplot <- barplot(x, horiz = TRUE, xlab = "Percent of YLLs", las = 1) New Version (as used with R 1.9.0): ## Calculate the % of YLLs for each group in the cause classification. x <- tapply(z$yllperdth, z[, fld], sum) total...

...use this script I have a problem. classes <- function(x, n){ s <- seq(0, ceiling(max(x)), by = n) factor(n*findInterval(x, s), levels = s) } z<-sapply(tapply(t$d,t$plot,function(x) classes(t$d, 4)),table) z<-cbind(z) Thank you! Initial data: nr x y d plot plotn xplot yplot 121 162 50.26989 46.230 55.00 1 NA NA NA 120 160 43.05703 41.096 12.50 2 NA NA NA 1211 162 50.26989 46.230 55.00 2 NA NA NA 143 130 48.29959 59.406 42.00 2 NA NA NA 144 131 49.56329 55.866 79.50 2 NA NA NA 145 161 55.20783 50.04...

...values of foo$x in the following example will be welcome. require(lattice) set.seed(12345) foo1 <- data.frame(x=rnorm(100,0,0.1),grp=1,by=rep(1:2,each=50),by2=rep(1:2,times=50)) foo2 <- data.frame(x=rnorm(100,2,1),grp=2,by=rep(1:2,each=50),by2=rep(1:2,times=50)) foo <- rbind(foo1,foo2) xplot <- histogram(~x,data=foo, type='density') PS: the present question relates to a workaround for another problem previously submitted to the list ( https://stat.ethz.ch/pipermail/r-help/attachments/20110727/5f0a8853/attachment.pl). [[alternative HTML version deleted]]

...nt the fix to work for any plot with any window size, but I might be valuable information. *** Questions: - Is this a real bug ? - Any suggestions for fixing it ? - If it can't be fixed, is there a way around this bug ? (For example, setting the margins to be zero and set a fixed size for the xplot) Thanks. Daniel. [[alternative HTML version deleted]]

Hello everybody, On my system (R 2.15.1-4 on Debian Stable plus some updates), resizing graphic windows (by stretching their borders with the mouse) takes one order of magnitude more time than redrawing them (by running the command again). For instance, the command ??plot(data.frame(rnorm(10), rnorm(10), rnorm(10)))?? is executed almost instantely, but if I resize the graphics window, it takes 3

Hi, My question is how do I gain control over what values the X and Y axis show. Below is a sample plot I have made and want the X axis to represent a time vector with values taking the form Q1.60, Q2.60, Q3.60...Q1.90..etc...Currently the X axis starts with value 0 and increases by 1 through the end of the sample. win.graph() matplot(v.0,log.diff.v.6,type="l",lty=1, col=2,

List, I am using the 'tisPlot' function in Jeff Hallman's excellent tis package and was hoping that someone could spare me from having to dig into the code of his 'tisPlot' function. So far as I can tell, the preferred method of controlling the plotting of the x-axis is using the 'xTickFreq' and 'xTickSkip' options. Unfortunately, the where the data ends

Hi. I wrote in a reply to a mail on here recently that you can''t set mpu (minimum packet unit) on HTB as you can on CBQ. I''ve just noticed that there is a patch on devik''s site which does mpu and overhead. http://luxik.cdi.cz/~devik/qos/htb/ For dsl users mpu is, for practical purposes going to be 106 - overhead is still variable though, depending on packet size.