similar to: plot cdf

Hello, I am writing this message because of an incorrect output by paste(). Please try the following script to see if the evidence I collected is reproducible: x <- c(10152, 28177); y <- c(9576, 26625); d <- y - x; d; [1] -576 -1552 paste(d, collapse = ", "); [1] "-576, -1552" x <- x / 1000; y <- y / 1000; d <- y - x; d; [1] -0.576 -1.552 paste(d,

Hi all, In the CHANGES file for R-2.3.0alpha, there is the following statement: winMenuAdd() now has no limits on the number of menus or items, and names are now limited to 500 (not 50) bytes. However, I can reproducibly get a segfault using this (admittedly silly) example: for( i in 1:5) winMenuAdd(paste("Test", letters[i], sep="")) for(i in 1:5) for(j in 1:24)

Hi, I read a lot of howto's and I got problems with LDAP and Dovecot to work together. I'm using: Gentoo Linux 2008.0 hardened Dovecot 1.1.7 Kernel 2.6.26 OpenLDAP 2.3.43 My dovecot-ldap.conf is: uris = ldaps://auth.mydomain.com:636 auth_bind = yes auth_bind_userdn = uid=%u,ou=People,dc=mydomain,dc=com ldap_version = 3 base = ou=People,dc=mydomain,dc=com deref = never scope = subtree

## Hi, ## I have a script that spawns a process on a remote virtuozzo(container based vm thing) machine then waits for it to complete. Its a bit hacked about but you should be able to get the idea. function spawntpcc { while ! ssh -v $vmhostnameprefix$1 <<EOF "$tpccrootdir"/tpcc-mysql/tpcc_start -h localhost -d tpcc -u root -w "$3" -c 8 -r "$warmuptime" -l

Good Afternoon, I have the following code, but it seems that something must be doing wrong, because it is giving the results I want. The idea is to create segments while the value of Commutation is less than 1000. for example, from the small set of data below text=" val_user pos v v_star v_end commutation v_source v_destine 1 1 96-96 1173438391 1173438391 0

Hello I have this little dataset, my goal is create one column in the data.frame with between the diference DataTime and Duration. I'm using the next code to make do this TIME_STAMP SESSIONTIME Time TimeStart 1162343932 8320 2006-10-31 19:01:34 2006-10-31 16:42:54 1162343215 592 2006-10-31 19:02:04 2006-10-31 18:52:12 1162341465 11875

Good morning, Good morning, I'm trying to read the file into an array, with the following code. A<- as.matrix(read.csv("~/Desktop/Results/Cfile.csv", header = FALSE, sep=",")) The content of the file " ","1","2","3","4" "1", 484,43,67,54 "2",54,35,67,34 "3",69,76,78,55

Hello, ??? I'm trying to write the sorted data in a file of a data.frame, My question and my problem is that when I record in file adds a new column row.name, which apparently is the original position in the file. ??? I wanted to write to the file without this column x<-data.frame(name="x1",Time=20) x<-rbind(x,data.frame(name="x2",Time=25))

Hello Everybody, We need to open some ports on the target machine, let''s say 694:udp and 3306:tcp I couldn''t find any documentation how can I do this with Puppet. What the best way of doing this? Thank you Dmytro -- You received this message because you are subscribed to the Google Groups "Puppet Users" group. To post to this group, send email to

Good morning, I'm trying to draw a graph, and I'm using the following code. test.matrix<-read.table("~/Desktop/Results/testgephi.csv", header = T, sep=",") colnames(test.matrix) <- gsub("X", "", colnames(test.matrix)) #drop first column drops <- c("") test.matrix<-test.matrix[,!(names(test.matrix) %in% drops)] test.matrix

Hello, I have two different dataset, and wanted to join the two. For example I have a table of codes of cities, and other with with the codes of travels, [source for the destine]. what he wanted was to have a new data.frame with all the information city<-data.frame(city="Barcelona",cod=1) city<-rbind(city,data.frame(city="Madrid",cod=2))

Hello, I have little doubt, and I do not think that the way I solve the problem is the best way to do it. The following is a small dataset x<-data.frame(city="Barcelona",sales=253639) x<-rbind(x,data.frame(city="Madrid",sales=223455)) x<-rbind(x,data.frame(city="Lisbon",sales=273633)) x<-rbind(x,data.frame(city="Madrid",sales=266535))

Dear list, I was attracted to a comment that the cdf.compare in S+ is not available in R. I wonder if anyone have more information on this. Thank you. Ilham

Dear all, I am calculating the bivariate skew normal cdf in "sn" package using "pmsn" function. Although it is quite convenient ( thanks to prof. Azzalini) but it seems to be slow. For example, it takes about 1 minute in calculation of 100k of such cdf values. I am thinking to write a c++ code for this although not very familiar with it. Any other idea?    Thanks in advance,

Dear all, How can I use the histogram density estimate (hist) to find the value of the cdf at a certain point? Thanks Maram [[alternative HTML version deleted]]

This question might seem silly, because I felt that it MUST be in the mailing list archives or help files somewhere, but I simply couldn't find it. I want to make some simple CDF (cumulative distribution function) plots to check whether distributions are Gaussian / normal. But in order to check how "normal" the distribution is, I really need the y-axis to be Gaussian as well

Dear R helpers I am trying to fit the Gumbel distribution to a data. I am using lmom package. I am getting problem in Cumulative Distribution Function of Gumbel distribution as I am getting it as a series of 0's and 1's thereby affecting the P P Plot. My R code is as follows. library(quantreg) library(RODBC) library(MASS) library(actuar) library(lmom) x <-

Hi, I have a data set which is assumed to follow weibull distr'. How can I find of cdf for this data. For example, for normal data I used (package - lmomco) >cdfnor(15,parnor(lmom.ub(c(df$V1)))) Also, lmomco package does not have functions for finding cdf for some of the distributions like lognormal. Is there any other package, which can handle these distributions?

Hi, This is not an R question, but can anyone please point me to C/Fortran (C preferred) code which calculates the non-central t-density or the cdf? Many thanks and best wishes! GT

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