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| #Calculate shape and rate parameters of average projections for Weibull distribution | |
| weibullShape <- fitdistr(projections$projectedPts, 'weibull')$estimate[[1]] | |
| weibullScale <- fitdistr(projections$projectedPts, 'weibull')$estimate[[2]] | |
| projectedPtsLatentWeibull <- qweibull(pnorm(projectedPtsLatent), shape=weibullShape, scale=weibullScale) | |
| #Recale distribution to have same range as average projections | |
| rescaleRange function(variable, minOutput, maxOutput){ | |
| minObserved min(variable) | |
| maxObserved max(variable) | |
| values (maxOutput-minOutput)/(maxObserved-minObserved)*(variable-maxObserved)+maxOutput | |
| return(values) | |
| } | |
| projections$projectedPtsLatent <- rescaleRange(variable=projectedPtsLatentWeibull, minOutput=0, maxOutput=max(projections$projectedPts)) |
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