WeibullDistribution example

[Gregg Sirrine]

Hi, I'm trying to port some R-Script code to Scala. The key piece of the R-Script is a call to dweibull

GE17PC = read.csv(powercurvefile)
shape = dweibull(GE17PC$X, weibull_k, weibull_A)*.5

The R-Script call accepts a vector as the first argument. I don't understand how to replicate this call in Scala. When I saw the existence of the WeibullDistribution class in Breeze, I figured I was home free and it would be a trivial translation. However, all my attempts end in compilation errors. It's clear I don't know what I'm doing. 

Error:(43, 58) could not find implicit value for parameter impl: breeze.stats.distributions.WeibullDistribution.Impl3[breeze.linalg.DenseVector[Double],Double,Double,VR]

        val wd: DenseVector[Double] = WeibullDistribution(myMatrix(pcColumns.indexOf(0),  ::).t, weibull_k, weibull_A)

When I saw this error I thought I must be missing an import for some implicits. However, after reading some posts here I'm beginning to wonder if I have to implement some kind of UFunc class or iterate through the values in my vector, calling the weibull class. But I am a little clueless on both ideas.

Can anyone point me to an example using the WeibullDistribution class?

[David Hall]

sorry, I lost this in my inbox. the weibull distribution (like most distributions in breeze) isn't vectorized right now, so you have to do a map over the densevector

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