问题描述
R是否具有用于在多维空间中生成随机数的程序包?例如，假设我要在长方体或球体内生成1000个点.
Does R have a package for generating random numbers in multi-dimensional space? For example, suppose I want to generate 1000 points inside a cuboid or a sphere.
推荐答案
也请检查copula软件包.这将在具有均匀边距但具有您设置的关联结构的多维数据集/超多维数据集中生成数据.然后可以将生成的变量转换为代表其他形状，但是仍然具有除独立之外的其他关系.
Also check out the copula package. This will generate data within a cube/hypercube with uniform margins, but with correlation structures that you set. The generated variables can then be transformed to represent other shapes, but still with relations other than independent.
如果您想要更复杂的形状，但对形状内的均匀性和独立性感到满意，则可以进行拒绝采样:在包含您的形状的多维数据集中生成数据，然后测试点是否在形状内，如果不存在，则拒绝它们否则，请继续这样做，直到有足够的分数为止.
If you want more complex shapes but are happy with uniform and idependent within the shape then you can just do rejection sampling: generate data within a cube that contains your shape, then test if the points are within your shape, reject them if not, then keep doing this until there are enough points.
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