similar to: inverse cumulative distribution

Hi all: I'm using 'persp' for 3D graphics. I need the axis's labels smaller than by defect. I see in 'help()', the information about 'par()'. I have wrote: >par(.....,cex.axis=0.5,cex.lab=0.5) perspc(.................) and the result don't change. The question is: Can I change the size of labels in the perps graph?? Thank you in advance: /salva

Hi all: I'm using 'persp' for 3D graphics. I need the axis's labels smaller than by defect. I see in 'help()', the information about 'par()'. I have wrote: >par(.....,cex.axis=0.5,cex.lab=0.5) perspc(.................) and the result don't change. The question is: Can I change the size of labels in the perps graph?? Thank you in advance: /salva

Hi all: I need to 3D graph using 'persp', but I need only to draw the axes of the graph, not data. Can anybody help me? Thank you in advance. /salva

Hi all, I need an R expression, expression(....) to get the follows Latex code: $P^\uparrow_{SF}$. Imposible, for me!!. Thank you in advance /salva

Does know anybody a small, little, beatiful (and cheap) software replacement of PING utility for pingins machines with netbios name and with ip number and without DNS entry? Smbclient and nmblookup work fine, but I thinking in a utilitity like PING of windows95. This ping is capable to work in WINS (NETBIOS) and ip and name translation. The ping of linux dont work in this way. Samba work fine.

Dear R Users, Does R have an "inverse empirical cumulative distribution" function, something one can use to invert ecdf ? Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you

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

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

Hi Everyone, I want to generate some random numbers according to some empirical distribution. Therefore I am looking for the inverse of an empirical cumulative distribution function. I haven't found any in R. Can anyone give a pointer? Thanks, Geoffrey _______________________________________________________=0A= =0A= =0A= The information in this email or in any file attached

Dear all, I am trying to draw a weighted cumulative distribution (as defined here http://rss.acs.unt.edu/Rdoc/library/spatstat/html/ewcdf.html) with ggplot2 however the syntax temp<-qplot(X,weight=weight,data=data,stat = "ecdf", geom = "step",colour=factor(year)) seems not to produce exactly the right figure (the values seems higher at some points)... I am wrong in the

Dear list, I would like to plot the empirical cumulative distribution of the time needed by a treatment to attain a certain goal. A number of experiments is run with a strict time limit. In some experiments the goal is attained before the time limit, in other experiments time expires before the goal is attained. The situation is very similar to survivial analysis with censored data. I tryed

Hi R users, I am a new user, still learning basics of R. Is there anyway to extract y (or x) value for a known x (or y) value from ecdf (empirical cumulative distribution function) curve? Thanks in advance. Mano. [[alternative HTML version deleted]]

I have been using the ECDF function in the Hmisc package to produce cumulative distribution function plots. The problem is that for small datasets the steps "look bad" (not my characterization but from the client). Is there a way to get the same information but smoothed? I have tried the densityplot (lattice), which gives a smoothed line, but this does not give the cumulative density.

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

Hello there, I am using R to plot some cumulative histogram for my data. Please help in this case. Thank you Lisa Wang Princess Margaret Hospital Toronto phone 416 946 4501 ext.4883

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

Hi! And now for the second part of the subject of my previous mails :) $ cat cucumber.yml default: . autotest: -v . autotest-all: -v -f progress . $ cucumber -i . -f progress PP Pending Scenarios: 1) enlightenment (meditation) $ AUTOFEATURE=true autospec # bug! prompt returns immediately, ZenTest gem not a dependency? a warning that autotest was not found would be nice. $ sudo gem

Hi, can anyone help me to figure out how to compute the percentile of an individual observation with respect to a reference distribution. What I mean is. Let's assume I have a vector consisting of 10 numbers {3,5,8,1,9,5,4,3,5.5,7} and I want figure out what percentile the number 4.9 corresponds to. I failed to find any reference to such a function, although I would assume this must

Hi, in R there is the function "density" which computes kernel density estimates. Is there a "cumulative" version of it? Something like they have in Matlab: http://www.mathworks.nl/help/toolbox/stats/ksdensity.html I know there is ecdf, but I'm not sure it's based on kernel density smoothing. Thanks -- View this message in context:

Hi all, I am extremely newbie to R. Can anybody jump-start me with any clues as to how do I get a cumulative histogram from two independent variables, cumhist(X,Y) ? -jose [[alternative HTML version deleted]]