You may want to try randseq (requires the Bioinformatics Toolbox). Learn more about random number generator, vector, randperm, randsample, datasample I have a vector with twenty unique values from 1 to 20. MATLAB function datasample follows Wong and Easton (1980), which is also quite fast; note however that function datasample may be very slow if applied repetedly, for the large amount of time spent on options checking. As Andrew pointed out, randsample absolutely does do sampling without replacement, just not with weights. Remark on … The sequence of numbers produced by randperm is determined by the internal settings of the uniform pseudorandom number generator that underlies rand, randi, randn, and randperm.To control that shared random number generator, use the rng function. randomly select different elements of a vector. I don't think you can replicate your first code block "the easy way" with a call to randsample. Generally randsample has more features: it is able to handle a non-default RandStream, and weighting. The arrays returned by randperm contain permutation of integers without repeating integer values. Returns k random elements from a vector v with n elements, sampled without or with replacement.. I would like to select randomly two values from my vector. Which option should I use? Our implementation follows Efraimidis and Spirakis (2006). It looks like that's what you're asking for. If you happen to be using R2011b, and have access to the Statistics Toolbox, you can also use the new datasample function: m = rand(10037,9); mnew = datasample(m,1000); In some cases the input of randsample is just redirected to randi. It looks like that's what you're asking for. Function File: y = randsample (v, k, replacement=false [, w]) Elements sampled from a vector. If v is a scalar, samples from 1:v.. As an alternate to randperm, you can also use randsample from the statistics toolbox.. y = randsample(n,k) returns a k-by-1 vector y of values sampled uniformly at random, without replacement, from the integers 1 to n. Note that it is "without replacement" (by default). MATLAB: Random selection of n values from a vector – which function should I use. Whilst, randsample generates samples with or without replacement of the population: 1:5 in this case. As Andrew pointed out, randsample absolutely does do sampling without replacement, just not with weights. 抽样权重，指定为非负标量值向量。w 的长度必须等于要抽样的整数范围或 population 的长度。 向量 w 必须有至少一个正值。 如果 w 包含负值或 NaN 值，randsample 将显示一条错误消息。randsample 函数以与 w(i)/sum(w) 成正比的概率进行抽样。 通常，w 是概率向量。randsample 函数仅支持为有放回抽样指定 … If you have the Statistics and Machine Learning Toolbox, you can use the randsample() function: y = randsample(n,k) returns a k-by-1 vector y of values sampled uniformly at random, without replacement, from the integers 1 to n. 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