Description Usage Arguments Details Value Note Author(s) Examples
View source: R/functionsContinuousAccumulationsMatrix.R
Plots a density histogram of random sample with specified log-normal distribution overlaid.
1 | plotLogNormalDistribution(plotName, plotVarSample, plotVarParams, bins)
|
plotName |
Name of data being plotted (e.g. 'Drainage Area') |
plotVarSample |
Sampled data vector |
plotVarParams |
Log-normal distribution parameters c(min,mode,max) |
bins |
Number of bins to use for distribution |
Sample distribution bin = 1000 by default
Plot in default viewer
Edited by CDMartinez 30 Nov 15
Created by CDMartinez 30 Nov 15
1 2 3 4 5 6 7 8 9 10 11 12 13 | OGasmt = continuousAssessment(auMC = 50000,
auType = 'Gas',
auProbability = 1,
auAreaProductive = c(100,1000,1000000),
auAreaDrainage = c(10,20,40),
auPercAreaUntested = c(93,96,99),
auPercAreaSweet = c(100,100,100),
auPercFutureSS = c(80,92,94),
auEURss = c(0.15,0.4,0.65),
auLGR = c(.08,.5,1),
year = 2016)
plotLogNormalDistribution('Average EUR',OGasmt$risked$EURsweet, c(0.15,0.4,0.65),100)
|
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