Select Page

Get Help With Your Essay

"Place your order now for a similar assignment and have exceptional work written by our team of experts, guaranteeing you A results."

For This or a Similar Paper Click To Order Now

 

In Martyna et al. (2013) (The evidential value of microspectrophotometry measurements made for pen inks. Analytical Methods) the authors are focused on developing a type of similarity score, between two ink samples, known as a forensic likelihood ratio. We are interested in three of the univariate LR’s (corresponding to the “X”, “Y”, and “Z” measures of color) that were constructed and their relationship to an omnibus LR that I (Dr. Saunders) constructed. Please describe and characterize the relationship between the 4 forensic likelihood ratios, with the ultimate aim of predicting the omnibus Likelihood ratio in terms of the three univariate likelihood ratios. Note that all of the likelihood ratios are given on a “log” scale.
There is one csv file that contains the data for this study.
The file is “dat.LLR.int.csv” it has six columns containing:
Comp
o Comparison of interest (from 1 to 820).
Omni.LLR.int
o numeric values of for the Log of the Omnibus likelihood ratio, this is the response variable we are interested in.
Type
o Type of comparison, either “wi” for within-source comparison or “bw” for between-source comparison
LLR.x
o The Log Likelihood ratio for the X color variable
LLR.y
o The Log Likelihood ratio for the Y color variable
LLR.z
o The Log Likelihood ratio for the Z color variable
The question of interest is whether or not there is a relationship between the marginal LR’s (i.e. LLR.x, LLR.y, and LLR.z) and the Omnibus LR (i.e. Omni.LLR.int). If there is a relationship, please characterize said relationship.
i) Provide a two to three-page write-up (the page count does not include graphs, typeset equations, and tables) explaining your analysis of the experiment and the conclusions you can draw from it. This can be done in a Word document, in RMarkdown, or another text editor, but submit a PDF.
ii) Prepare a short slide/PowerPoint presentation on your findings and recommendations.
iii)As a final component provide annotated code that replicates your analysis. Upload as an .R or .RMD file.
Make sure to discuss any concerns about the modeling assumptions used in your analysis

Get Help With Your Essay

"Place your order now for a similar assignment and have exceptional work written by our team of experts, guaranteeing you A results."

For This or a Similar Paper Click To Order Now