similar to: Two questions

Hi, I was trying to draw an empirical distribution function with uniform confidence bands. So I tried to find a way to calculate values of the Kolmogorov-Smirnov Distribution but failed. I guess it must be hidden somewhere (since the ks-test is implemented), but I was unable to find it. Is there any way to do this? Thanks Leif Boysen

Hi! How do I specify a filled point in a scatterplot? Their size? plot(x,y) just gives "empty" points like "o". I want a full black point. TIA -- myriam -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Hi. I have the following two ecdf plots in one graph: plot( ecdf(....), do.points=FALSE, verticals=TRUE, main=paste("Ecdf of distances ",DIM,sep=""), col="red" ); lines( ecdf(....), do.points=FALSE, verticals=TRUE ); How do I change the color of the resulting graph? Adding col="red" to either plot or lines results in an error

Hi everyone, I have what may appear to be a newbie question, but I have looked everywhere I can think to look and I cannot find an answer. On page 35 of "An Introduction to R" the following command appears: plot(ecdf(eruptions), do.points=FALSE, verticals=TRUE). What is the do.points argument? I know what it does (suppresses printing of the points) but where can I find help on it?

Hi r-users,   I would like to compare the cdf between historical and predicted. My x.obs and x.pre are the frequency data in classes of 0-300. I tried: plot(ecdf(x.obs),ecdf(x.pre),type="l",col="red")   and it gives me: Error in plot.stepfun(x, ..., ylab = ylab, verticals = verticals, pch = pch) :   argument 4 matches multiple formal arguments   Thank you so much for any

Hi, I have a question for the group, perhaps someone can help me figure this out. I've already looked in the help files and they were no help to me. I have a vector of values and I am plotting an ecdf graph. 1. How can i draw a continuous line through the ecdf points? (lines and type for the plot with an ecdf object does not work) 2. Supposing I have this line drawn. I can add a

Hello, My specific system is > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 5.1 year 2002 month 06 day 17 language R Each of the hmisc and stepfun packages has a function

hi all i would like to know if anyone has a reference on how one would place the "bands" on the pp plot. i want to test whether or not a certain data set comes from a particular distribution (not normal). i've already plotted F(X(j)) vs j/(n+1) where F(x) is the cum dist function, X(j) is the j'th order statistic and n is the sample size. a goole search gave arb references

Full_Name: Martin Frith Version: R-2.0.0 OS: linux-gnu Submission from: (NULL) (134.160.83.73) I have large vectors containing 100,000 to 20,000,000 numbers. However, they only contain a few hundred *distinct* numbers (e.g. positive integers < 200). When I do ecdf(v), it either runs out of memory, or it succeeds, but when I plot the ecdf with postscript, the output is unnecessarily bloated

Hello, if I plot a horizontal line, e.g., plot(c(1,2),c(1,1),xlim=c(0,3),lwd=2,type="l") or plot(c(1,2),c(1,1),xlim=c(0,3),lwd=4,type="l") then the left end (1st example) or both ends (2nd example) of the lines are not rectangular but slanted on the graphical display (screen). That behavour first occurred when I was trying to plot a stepfun, e.g., y <-

Hi. I'm trying to plot two ecdf's on the same graph using two different colors. I can plot using the same color, but it doesn't work when I change colors? Any suggestions? Thanks in advance for your help. x <- c(0.80, 0.83, 1.89, 1.04, 1.45, 1.38, 1.91, 1.64, 0.73, 1.46) y <- c(1.15, 0.88, 0.90, 0.74, 1.21) plot(ecdf(x)) # it works without col='blue', but doesn't

Hello, is ot possible to draw two ecdf of vectors (say s1 and s2) on the same figire with R. plot function draws a new plot and there is no function like points or lines to draw a second ecdf on the figure. Regards -- *PhD candidate in Computer Science Address 3 avenue lamine, cité ezzahra, Sousse 4000 Tunisia tel: +216 97 246 706 fax: +216 71 391 166* [[alternative HTML version deleted]]

hi y'all, I am wondering if there is any special command, function, package, etc to help me doing a cumulative distribution function, with y-scale - probability scale. I tried the help in R and i got the following answers: cumsum(base) Cumulative Sums, Products, and Extremes ecdf(stepfun) Empirical Cumulative Distribution Function cpgram(ts) Plot

Hi all R users I would like to know how acess the coordinates of the ECDF object. I look for the example, in this part: ###################### print(ls.Fn12 <- ls(env= environment(Fn12))) ###################### but I do not know to extract the Y coordinate and put it in other variable. My objective is to make a plot and identify the points with labels. ############# Example by

Dear R list members, I am seeking for an elegant way for matching NA elements of a matrix. Everthing I tried, the result was a vector. Here ist an example with vectors that works: a and b are vectors of same lenght representing pairs of data (a[i] b[i]) with some NA elements: ## R Code a <- (1:5) a[2] <- NA b <- (6:10) b[3] <- NA a 1 NA 3 4 5 b 6 7 NA 9 10 ## /R

Hi, I have two variables ranging both from 0 to 1 (n=500 each). Now I am interested in plotting them both in one plot (using ggplot2). So far I used ecdf() (from an example I found with google) to get values for the cumulatice distribution function which gives a relative curve. I also want to do the same plot but using absolute cumulative values instead of relative. Can that be done with ecdf or

Is there a function in R for calculating empirical cumulative distribution functions, i.e. the inverse of the quantile function? Perhaps in some library? I''d hate to have to re-invent the wheel. David Edwards, Biostatistics, Novo Nordisk A/S, Bagsværd, Denmark. DEd@novonordisk.com <mailto:DEd@novonordisk.com> Tlf: +45 44 42 62 35. Fax: +45 44 42 14 80 [[alternate HTML version

I’m using the edcf function to look at a number of empirical distributions graphically for run-time analyses of stochastic optimization algorithms. When dealing with problems where the optimal solution for these problems is always found everything is fine and the graphs are very useful for comparative observations. These distributions have a vertical axis height of one i.e. a probability of one.

Hi, are there any function to plot the empirical probability distribution function? I just don't want to reinvent the wheel... Best wishes, Ott -- Ott Toomet PhD Student Dept. of Economics ?rhus University Building 322 Universitetsparken 8000 ?rhus C Denmark otoomet (a) econ au dk ph: (+45) 89 42 20 27 ------------------------------------------- (o_ (*_ (O_

Hi, R-Folks, I have 3 large datasets that I combined in a single plot with plot(ecdf(x1...),...) plot(ecdf(x2...),add=TRUE,...) plot(ecdf(x3...),add=TRUE,...) The datasets are very similar, so it is difficult to get visual separation among them. I tried many different line types without success -- the lines all came out solid. Checking further, plot.ecdf() calls plot.stepfun(), which calls