similar to: More complex historgram

Hi, that's my first post to wine forum, hehe =P But i compiled the new version (1.0 RC2) of wine in Ubuntu for i386 =) http://www.badongo.com/file/9581315 If something of the package info is wrong, only say me =) (i don't speak english, my official language is spanish, hehe)

This may be a begining question. If so, please bear with me. If I have some data that based on the historgram and other plots it "looks" like a beta distribution. Is there a function or functions within R to help me determine the model parameters for such a distirbution? Similarily for other "common" distirbutions, Poisson(lambda), Chi-Square(degrees of freedom, chi-square

Dear r user, please find my attached sample of the dataset i? am using to create a crosstable and eventually plot a histogram from the output. I am using? the cut2 function to create bins, about 7 of them using the code after reading the data: cluster <- cut2(cross_val$value, g=7) I get the warning: Warning message: In min(xx[xx > upper]) : no non-missing arguments to min; returning Inf

Hello, I'm trying to plot a historgram with a density plot superimposed: hist(x, seq(-1, 1, by = 0.1), prob = T, col = "blue") lines(density(x, bw = 0.1)) rug(x) I don't want to add rug(x) but the histogram will not be plotted unless rug(x) is there. It does not work if the "hist" line alone is present. Can you help? Thanks, Kim [[alternative HTML version

Dear: I have two series data, which are: p1-obs p1-exp 13 13 20 23.296 22 18.139 19 14.972 10 12.576 16 10.658 8 9.0794 4 7.7625 3 6.6536 5 5.7141 7 4.9146 4 4.2321 0 3.648 4 3.1471 4 2.7168 2 2.3468 4 2.0283 2 1.7537 2 1.517 5 1.3127 1 1.1362

Hi, I wanted to plot the histogram of a vector and then, plot the density function of subsets of the vector on the histogram. So I use truehist in MASS package and lines(density) as follows: length(b) = 1000 truehist(b) lines(density(b[1:100])) however the density plot of the first 100 points exceeds the max of y axis (see attached). how is it possible to make a graphics so that the density plot

"An Introduction to R" notes that the function tapply() can be used to index a vector by multiple categories. But they don't show how to do this. How does one implement, for example, the example in the text in which tax accountants are indexed by both state and sex? Is there a way to use tapply() to put the vector into bins defined by the levels instead of having to exactly match

The 5-patch series to follow this email extends KVM-hypervisor and Linux guest running on KVM-hypervisor to support pv-ticket spinlocks, based on Xen's implementation. One hypercall is introduced in KVM hypervisor,that allows a vcpu to kick another vcpu out of halt state. The blocking of vcpu is done using halt() in (lock_spinning) slowpath. Changes in V4: - reabsed to 3.2.0 pre. - use APIC

The 5-patch series to follow this email extends KVM-hypervisor and Linux guest running on KVM-hypervisor to support pv-ticket spinlocks, based on Xen's implementation. One hypercall is introduced in KVM hypervisor,that allows a vcpu to kick another vcpu out of halt state. The blocking of vcpu is done using halt() in (lock_spinning) slowpath. Changes in V4: - reabsed to 3.2.0 pre. - use APIC

Dear all, We are trying to fit a non linear model to dispersal data. It seems that sometimes when the fit of the model of the data is not very good we start getting singular gradient errors. However if we modify slightly the data this won't occurr. We have also tried changing the initial parameter values and the algorithm for fitting in nls but didn't help. So we ended up programming a

Hi everyone, first of all, I would like to say that I am a newbie in R, so I apologize in advance if my questions seem to be too easy for you. Well, I'm looking for periodicity in histograms. I have histograms of certain phenomenons and I'm asking whether a periodicity exists in these data. So, I make a periodogram with the function spec.pgram. For instance, if I have a histogram h, I