search for: anan

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2011 Sep 09
3
Reliability metric
...023 [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]]
2010 Sep 17
2
Matrix- create mean/min/max/stdev on column of matrix or rows?
I made simulation with Weibull and create Matrix, How can I create mean/min/max/stdev on column or rows of matrix?, Thanks,
2012 Nov 21
1
Listing elements of a 4D array
Dear list, I'm having trouble to see how my elements on a 4 dimensional array are listed. For example, I generated the following array: junk.melt=melt(occ.data,id.var=c("Especie", "Site", "Rep", "Año"), measure.var="Pres") y=cast(junk.melt, Site ~ Rep ~ Especie ~ Año) Now, I want to be able to look at how my species (Especie) are listed, in
2010 Sep 20
1
Removing slected values from original vector and definning new vector with the rest?
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]]
2010 Sep 19
1
Weibull- Random Censoring
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.
2010 Sep 16
1
Weibull simulation- number of items to replace is not a multiple of replacement length
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 +