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Hi All. Imagine you have a large block diagonal matrix. I'd like to replace the zeros in this matrix with small random (runif) numbers. Any ideas for a simple and efficient way to do this? Best regards, Rick DeShon
Hi All. I would like to compute a separate covariance matrix for a set of variables for each of the levels of a factor and then compute the average covariance matrix over the factor levels. I can loop through this...
Hi All. I need to create a first-order autoregressive covariance matrix (AR(1)) for a longitudinal mixed-model simulation. I can do this using nested "for" loops but I'm trying to improve my R coding proficiency and am...
Hi All. I'd like to send some control arguments to the nls function when performing a nlsList analysis. I'm fitting a power model to some grouped data and would like to impose lower bounds on the estimates using...
Hi All. I'd like to generate a sample of n observations from a k dimensional multivariate normal distribution with a random correlation matrix. My solution: The lower (or upper) triangle of the correlation matrix has n.tri=(d/2...
Hi All. I'd like to generate a sample of n observations from a k dimensional multivariate normal distribution with a random correlation matrix. My solution: 1) The lower (or upper) triangle of the correlation matrix has n.tri=(d...
Thanks for the response, Rex. This is an interesting approach. The Choleski decomposition approach that John suggested seems to be an obvious and direct approach to this problem. Your approach is less obvious to me but may be equal or...
Hi All. I'm trying to run nlsList an getting an error that makes no sense to me. I have accuracy and reaction time data over many trials for each person (id) When I use nlsList code that is virtually...
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