Description Usage Arguments Details Examples
View source: R/reports-peaks.R
Outputs a docx report of results.
1 2 | output.report.peaks(prosecutionHypothesis,defenceHypothesis,
results,file=NULL,figRes=300)
|
prosecutionHypothesis |
The output from |
defenceHypothesis |
The output from |
results |
The output from |
file |
A file name for the output report. By default a filename is created to avoid over writing a previous file. |
figRes |
Resolution of figures in the output report. Defaults to 300 DPI. |
Creates a docx containing all results, placed in the directory specified by admin$outputPath. Results include both the pre-evaluation assessment of the crime-stain and reference profiles, and the post-evaluation results of the likelihoods and weight of evidence.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | ## Not run:
# datapath to example files
datapath = file.path(system.file("extdata", package="likeLTD"),"laboratory")
# File paths and case name for allele report
admin = pack.admin.input.peaks(
peaksFile = file.path(datapath, 'laboratory-CSP.csv'),
refFile = file.path(datapath, 'laboratory-reference.csv'),
caseName = "Laboratory",
detectionThresh = 20
)
# Enter arguments
args = list(
nUnknowns = 1
)
# Create hypotheses
hypP = do.call(prosecution.hypothesis.peaks, append(admin,args))
hypD = do.call(defence.hypothesis.peaks, append(admin,args))
# Get parameters for optimisation
paramsP = optimisation.params.peaks(hypP)
paramsD = optimisation.params.peaks(hypD)
# reduce number of iterations for demonstration purposes
paramsP$control$itermax=25
paramsD$control$itermax=25
# Run optimisation
# n.steps and converge set for demonstration purposes
results = evaluate.peaks(paramsP, paramsD, n.steps=1,
converge=FALSE)
# generate output report
output.report.peaks(hypP,hypD,results)
## End(Not run)
|
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