similar to: Trouble using Ecdf () from the Hmisc library

Hi, (please Cc me) In xyplot (), type = "l" (or one that includes "l", *el*) is (generally) meaningful only when the 'x' variable is sorted. In practice, one either sorts the data frame before hand or writes a tiny panel function which sorts the supplied x and then calls the default panel.xyplot(). Trouble arises when there is a conditional variable as well as a

Full_Name: P Kapat Version: 2.1.1 (2005-06-20) OS: GNU/Linux 2.6.8-2-386, Debian testing Submission from: (NULL) (65.24.56.41) Relevant Bugs Ids : 7987, 7989 H is a 100x100 singular but symmetric matrix (a matrix defining the neighbourhood structure for a spatial data) available from.. http://www.stat.ohio-state.edu/~pkapat/miscl/bugMatrix.RData > load(file="bugMatrix.RData") >

Recently, I ran rsync and got the following message: skipping non-regular file "981005_plteph-de405s.bsp" It turns out that the file in question is really a degenerate link that points back to itself. lrwxr-xr-x 1 18450 other 24 May 9 20:38 981005_plteph-de405s.bsp -> 981005_PLTEPH-DE405S.bsp The confusing this is that although rsync printed what looks like an

If there is no free space, the free space allocator will try to get space from the block group with the degenerated profile. For example, if there is no free space in the RAID1 block groups, the allocator will try to allocate space from the DUP block groups. And besides that, the space reservation has the similar behaviour: if there is no enough space in the space cache to reserve, it will reserve

OK, here is the issue: I have a graphcis device (say X11) which I can set as active by dev.set(n). Is there ANY way to identify/infer whether this X11 device was obtained from a lattice function (like xyplot, levelplot...) or a standard function (like plot, scatterplot,...). A related question is whether plot.new (or frame) was called to obtain this graphics device... Thanks. PK

I'm a big fan of both Weka and R (quite new at R :) ), and jumped at the chance to use them together. Unfortunately, I'm running into what is probably a dumb error when trying to view info about my model. A Google search turned up 0 hits for the actual error I got (last line), but you all are smarter! My code is below, but basically my data frame (q) is imported via RODBC and has 1586

FWIW, I've just imported my mng-over-ogg code into xiph.org cvs. There are currently too tools, both under the new 'ogg-tools' module: 'oggmerge' is intended to multiplex files of various formats into a single ogg bitstream. Currently it only creates degenerate mng-over-ogg files. Next step is to add support for multiplexing with ogg vorbis files, and jack will likely be

Given a dataset x, the ecdf is ecdf(x). Then I can use ecdf(x)(y) to find the percentile of y. Given the ecdf is there a way to determine what is the value of y that is the boundary of let's say 95 percentile? In other words, is there a function I can call on the ecdf like: fomeFunc( ecdf( x ), 0.95 ) Which will return the highest value of y, for which ecdf( y ) < 0.95? The only solution

Hi, i want to plot empirical cumulative density functions for two variables in one plot. For better visualizing the differences in the two cumulative curves I'd like to log-scale the axis. So far I found 3 possible functions to plot ecdf: 1) ecdf() from the package 'stats'. I don't know how to successfully set the log.scales? Combining two plots is not a problem: plot(ecdf(x1))

I'm replying to R-devel, the mailing list which should be used to discuss R feature enhancements. >>>>> "Norman" == Norman Warthmann <norman at warthmann.com> >>>>> on Wed, 18 Jan 2006 11:33:22 +0100 writes: Norman> .......... Norman> Is there a specific reason why in the ecdf-function Norman> the variable

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

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

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, I have codes as follows to get the ecdf plots: > day.hos2<-c(6,4,6,6,4,6,5,4,7,5,6,6,8,6,17,9,8,4,6,3,5,8,7,12,5,10,6,4,6 ,13,7,6,6,25,4,9,96,6,6,6,6,9,4,5,5,4,10,5,7,6) > day.hos3<-c(5,6,7,6,4,5,6,6,6,6,19,7,5,9,8,8,7,5,6,20,40,5,8,7,7,5,6,13, 11,9,4,6,9,16,6,7,6) > f<-ecdf(day.hos2) > plot(f,col.p='red',col.h='red') >

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'm bit confused about ecdf (read the help files but still not sure about this). I have an analytical expression for the pdf, but want to get the empirical cdf. How do I use this analytical expression with ecdf? If this helps make it concrete, the pdf is: f(u) = \sum_{t = 1}^T 1/n_t \sum_{i = 1}^{n_t} 1/w K((u - u_{it})/w) where K = kernel density estimator, w = weights, and u_{it} =

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, 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

Dear all, I would like to calculate the complementary cumulative distribution function. As it is known, the ccdf is the 1-ecdf(X)==1-F(x). (From ?ecdf help is shown that ecdf returns a function which is the F(x) I would like to use that function inside my function and after call curve (which accepts function as input). My code looks like that onVector<-seq(1:100)

I am trying to use the ecdf function to find p-values (using a vector of numbers to represent my new distribution and a test specific t-statistic value). I am using : 1-ecdf(vector)(t-stat) vector<-c(5.386, 3.701717, 3.8289, 3.602, 4.469, 5.2087, 6.1613, 4.71181, 5.07716, 2.3517) ecdf(vector)(4.6604) [1] 0.5 R will only give me 1 significant digit after the decimal point and I am