search for: halabi

...[96,] 0.6305684 [97,] 0.6226043 [98,] 0.5951486 [99,] 0.5334377 [100,] 0.4437834 [101,] 0.4967086 [102,] 0.5404019 [103,] 0.5742126 [104,] 0.5975006 [105,] 0.6091056 [106,] 0.6065193 [107,] 0.5840942 [108,] 0.5275280 [109,] 0.3866770 [110,] 0.4478912 [111,] 0.4997913 > length(R) [1] 111 Anan Halabi Reliability Eng, R&D HP Scitex Tel: 972-9-8924648 mobil: 972-52-6624231 [[alternative HTML version deleted]]

I made simulation with Weibull and create Matrix, How can I create mean/min/max/stdev on column or rows of matrix?, Thanks,

I generate random vector from Weibull distribution sampWB <-urweibull(sampleSize, shape=shape.true, scale=scale.true, lb=0, ub=Inf) how can I create subvector containing 30% of samplesize of sampWB which should be assigned as Censored data? The probability for each value in sampWB can be uniform to be included in the subvector.

sampleSize <- 20 shape.true <- 1.82 scale.true <- 987 sampWB <- rweibull(sampleSize, shape=shape.true, scale=scale.true) print(sampWB) censidx <- sample(1:length(sampWB), length(sampWB)*0.3) Censored.data <- sampWB[censidx] noncensidx <- defines the rest values of the vector which is not included at Censored.data? [[alternative HTML version deleted]]

Hi, I write below code for simulation for weibull- estimating parameters by weibullMLE function, Although I define metrix for the variables still I got this message: number of items to replace is not a multiple of replacement length Any suggestion > est=matrix (NA, 2,2) > se=matrix (NA, 2,2) > for ( p in 1:2) { + sampleSize <- 20 + shape.true <- 1.82 + scale.true <- 987 +

Is there a "cookbook" for setting this up? There are examples for setting up a tunnel between two fixed-address networks (e.g. a remote LAN that needs to be "integrated" with a central LAN over IPSec but I can't find anything addressing the other situation -- remote user(s) where the connecting IPs are not known in advance, such as a person with a laptop or smartphone in a