similar to: Simulation from discrete uniform

Dear all, I am trying to simulate from truncated Pareto distribution. I know there is a package called PtProcess for Pareto distribution...but it is not for truncated one. Can anyone please help me with this? Thanks in advance. Cassie [[alternative HTML version deleted]]

Dear all, I created a n*2 matrix and I want to replace the ith row with a vector. Can anyone suggest me what is the simple way to do it? Sorry for bothering you with such simple question. I appreciate any hints or advice. Thanks in advance. Cassie [[alternative HTML version deleted]]

Hello everyone, I am wondering if there is any routine in R which can convert time given in 'seconds' unit to the 12 hour time format. For example, suppose the data set looks like x=c(36885,84000,20) #x in seconds I want to get the output as [1] " 11:14:45 AM" [2] " 11:20:00 PM" [3] "12:20:00 AM" Does anyone have any idea? Thanks in advance. Cassie

Dear All, I am trying to define a loop for a m*n matrix, where i=1:n and j=1:m. Unlike the usual for loop, i should go in the following way: For j=1, i=1,2,3,....n For j=2, i=n,n-1,n-2,......,1 For j=3, i=1,2,3,.....n etc. which means i should go in either increasing or decreasing order alternatively. Can anyone please help me in doing this? Thanks, Cassie [[alternative HTML version

Hi all, I am REALLY confused with the variance right now. for a discrete uniform distribution on [1,12] the mean is (1+12)/2=6.5 which is ok. y=1:12 mean(y) then var(y) gives me 13 1- on http://en.wikipedia.org/wiki/Uniform_distribution_%28discrete%29 wiki the variance is (12^2-1)/12=143/12 2-

Dear all, I need to simulate values from a Poisson distribution which is truncated at certain value 'a'. Can anyone tell me if there is in-built package in R which can simulate from a truncated Poisson? If not, what should be the steps to write a function which would do that? Thanks in advance. Cassie [[alternative HTML version deleted]]

Hey I want to generate a discrete uniform distribution as follows: For example: I want to get 278734 records each with a numbers between 7-10. And the sum of numbers in 278734 records to be equal to 2253712. Once this is done, I want to get that printed to an excel file such that Record Value 1 9 2 7 so on 278734 8 The

Dear all, I am writing a program using for loop. The loop contains i which runs from 1:n. There is a feature I need to include here. That is, when i=n, i+1 would be 1, not n+1. Basically the loop should run in a circular fashion. That also means, if i=1, i-1=n. Can anyone help me with this? How can I define it? Thanks. [[alternative HTML version deleted]]

I want to create the mixture formulation of a discrete uniform ie, say f(x) = 1/10, for i = 1,2,3,4,5,6,7,8,9 and 10 and another discrete distribution which has the same values of x, but he probabilities can vary. Can this be done on any package in R? an if so, can the package estimate the 'probabilities' of each of the x value as well as the mixing proportion if I have the data?

Hi All, I am attempting to simulation an inventory model on R and I am having some problems. I believe the problem is when I define my demand rate is stays constant throughout so when I do need to reorder the model does not recognise it as I have the initial supply arrival time set to infinity at the start as no order has been played but I have an if statement saying, if the level falls below a

Dear all, I have a data set which has latitude, longitude (not in increasing order) and observed precipitation corresponding to those locations. I am using image.plot command for that. But I want to overlay a map of US on that plot. I know we can use map('usa') to draw it, but I dont know how can I overlay it on the plot of the precipitation data. Can anyone please help me with it?

Dear all, I am trying to define an array as follows: a=array(NA,c(m,2,N,G)), Even though the numbers N and G are fixed, m is a vector. So, I can't define 'a' as above. For eg, N=3 G=6, but m=c(2,7,5) and length(m)=N. Can anyone suggest me how can I define 'a' when m is a vector? Thanks in advance for your help. Cassie [[alternative HTML version deleted]]

Does anyone know how to do a fry plot in R? I have 600-800 points per image, and I really don't want to attempt that manually. Thank you! Cassie [[alternative HTML version deleted]]

I am having a hard time putting the below into a loop, where it pulls out ppt from all he stations I have versus having to go through and hard code the data to the specific stations. I tried stnID <- stnid[which(duplicated(stnid)==FALSE)] for(i in 1:length(stnID)) { ppt[i] <- ppt[which(stnid==[i])] } but it doesn't like to use the which function inside a for loop? Any idea's here is

Hi all, I have a matrix which looks like the following, x=matrix(c(1,2,3,4,3,5,4,6,4,9),5,2,byrow=T) Now, I want to replace the 2nd columns of those 4 rows which have duplicate entries in the 1st column. For example, x[2,1]=x[3,1]=3 and I want to replace x[3,2] by x[2,2]. Similarly, I want to replace x[5,2] with x[4,2], which means that for duplicate entries in the 1st column, I want to replace

Hello R-users, I am having a problem with the 'break' command in R. I am wondering if anyone can help me out with this. My program is similar to the following. a=rep(NA,5) a[1]=0 for(i in 2:5) { a[i]=a[i-1]+runif(1,0,3) if(a[i]>5) { i=2 break } } What exactly I am trying to do is find the sequence 'a' where the individual values of 'a'

Hello R-users, I am trying to do an image plot where I have been given latitudes, longitudes and the values at the corresponding locations. A sample of the data is given as follows: values=c(0,1,0,0,0,0,2,2,0,0) lat=c(29.6660,29.6756,29.3492,29.2654,29.2827,29.4070,35.3510,35.6590,35.7587,38.2794)

Dear all, I am trying to plot 3 histograms on the same graph using the following command. hist(x,xlim=c(0,100)) hist(y,add=TRUE) hist(z,add=TRUE) The xlim of y is c(20,21) and that of z is c(99,99.5) , whereas the variable x has xlim at c(0.5,2). Apparently, the graph end of displaying a line only, corresponding to each histogram due to the wide range of the xlim and tightness of the

Hi everyone, I have bunch of date and time observations in the format %Y-%m-%d %I %M %S %p. I used strptime() to read this format. But the problem is some of the times are in the format of %I %M %p, so for those times, strptime is giving me NA values. For example, strptime(paste("2009-04-08","1:49:47 PM"),format="%Y-%m-%d %I:%M:%S %p") [1] "2009-04-08

Good morning, I wonder could somebody help me bridge the gap? I want to try and simulate a "factory" type environment with an object moving between stages of production with errors and re-work. The intent of this is to demonstrate the effect of error rates and re-work at various stages in the 'factory' on the total volumes of work at each stage of the factory - in order to