similar to: R: ecdf - linear

Displaying 20 results from an estimated 4000 matches similar to: "R: ecdf - linear"

2009 Mar 18
0
modification of the function ecdf
Dear R users, I am trying to minimize the distance between my data points and theoretical gamma distribution over shape and scale parameters. the function "mde" from actuar package does it for empirical distribution function and theoretical gamma distribution. However, I would like to minimize the distance by using only the data between 0.1 and 0.9 quantiles. I cannot use ecdf in this
2007 May 30
1
Sort in ecdf
Hi! I've noticed the ecdf() R code (R ver. 2.5.0) contains two call to sort: --- [R-code] --- ecdf <- function(x) x <- sort(x) n <- length(x) if (n < 1) stop("'x' must have 1 or more non-missing values") vals <- sort(unique(x)) rval <- approxfun(vals, cumsum(tabulate(match(x, vals)))/n, method
2008 Jan 11
1
Adding weights to ecdf
I would like you consider that the function ecdf could be extended in the following way to handle weights when computing Empirical distribution Functions. There exist particular cases that supports this kind of extension, see for example: Rao, C. R., 1997. Statistic and True. Putting chance to work. World Scientific Publishing. Cox, D. R., 1969. Some Sampling Problems in Technology. New
2012 May 04
1
Absolute cumulative curve with ecdf/stepfun?
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
2008 Feb 19
1
How to count from larger value to smaller value in ecdf (Empirical Cumulative Distribution Function)
Hi, all ecdf function (Empirical Cumulative Distribution Function) in "stats" package counts from smaller values to larger values. However, I want to draw it by counting from larger value to smaller values and I couldn't find options for this purpose. How can I draw ecdf or ecdf like graph by counting from larger values to smaller values. Thank you in advance. Hyunchul Kim
2005 Nov 02
2
help with the coordinates of the ECDF object
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
2009 Sep 07
1
Plot 2 ecdf in one graph
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
2013 Oct 24
0
TR: problem with ecdf : "missing C_R_approxfun" message
Hi again, this is a follow-up of my previous post : I've noticed that > attr(first.list[[1]]$size.ecdf,"call") gives ecdf(test.moms[, "m.pxs"]) and that there is no "test.moms" field in my records (a local variable named test.moms was used inside a function, but it was stored under another name in the list, outside the function) May this be the answer (and
2004 Oct 17
3
ecdf with lots of ties is inefficient (PR#7292)
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
2002 Jul 25
1
Calling the correct one of 2 conflicting functions
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
2009 Jul 03
3
Color of ecdf plots
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
2001 Jun 18
1
approxfun(*, ties=) returning "random" result (PR#986)
Platforms : SunOS and Linux, both using gcc 2.95.[23] R versions : 1.2.3 and "R-devel" I came accross this when trying to debug a somewhat sub-optimal behavior of ecdf() from package stepfun. What happens is that approxfun(*, ties = <function>) does not always return the same result for identical arguments. I tried "min", "max", and "mean" all of
2008 Nov 08
2
lines, ecdf and colors
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
2011 Oct 16
2
ecdf
Hi, Newbie here. I read the R for Beginners but i still don't get this. I have the following data (this is just an example) in a CSV file: courseid numstudents 101 209 141 13 246 140 263 8 321 10 361 10 364 28 365 25 366 23 367
2008 Aug 14
1
ecdf manipulation
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.
2002 Nov 25
1
Plotting continuous line types w/large datasets
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
2011 Sep 24
2
two ecdf in the same figure
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]]
2004 Jun 03
1
ecdf plots, lines, and y values
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
2005 Nov 17
3
ECDF values
Dear UseRs, maybe is a silly question: how can I get Empirical CDF values from an object created with ecdf()?? Using print I obtain: Empirical CDF Call: ecdf(t) x[1:57] = 4.1, 4.4, 4.5, ..., 491.3, 671.27 Thanks in advance. Regards, Vito Diventare costruttori di soluzioni Became solutions' constructors "The business of the statistician is to catalyze the scientific
2003 Nov 17
4
cumulative distribution functions
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