Package: SK4FGA 0.1.1
SK4FGA: Scott-Knott for Forensic Glass Analysis
In forensics, it is common and effective practice to analyse glass fragments from the scene and suspects to gain evidence of placing a suspect at the crime scene. This kind of analysis involves comparing the physical and chemical attributes of glass fragments that exist on both the person and at the crime scene, and assessing the significance in a likeness that they share. The package implements the Scott-Knott Modification 2 algorithm (SKM2) (Christopher M. Triggs and James M. Curran and John S. Buckleton and Kevan A.J. Walsh (1997) <doi:10.1016/S0379-0738(96)02037-3> "The grouping problem in forensic glass analysis: a divisive approach", Forensic Science International, 85(1), 1--14) for small sample glass fragment analysis using the refractive index (ri) of a set of glass samples. It also includes an experimental multivariate analog to the Scott-Knott algorithm for similar analysis on glass samples with multiple chemical concentration variables and multiple samples of the same item; testing against the Hotellings T^2 distribution (J.M. Curran and C.M. Triggs and J.R. Almirall and J.S. Buckleton and K.A.J. Walsh (1997) <doi:10.1016/S1355-0306(97)72197-X> "The interpretation of elemental composition measurements from forensic glass evidence", Science & Justice, 37(4), 241--244).
Authors:
SK4FGA_0.1.1.tar.gz
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SK4FGA_0.1.1.tgz(r-4.4-x86_64)SK4FGA_0.1.1.tgz(r-4.4-arm64)SK4FGA_0.1.1.tgz(r-4.3-x86_64)SK4FGA_0.1.1.tgz(r-4.3-arm64)
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SK4FGA.pdf |SK4FGA.html✨
SK4FGA/json (API)
# Install 'SK4FGA' in R: |
install.packages('SK4FGA', repos = c('https://tobyhayward13.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tobyhayward13/sci118uoa_forensicglassanalysis/issues
- glass - Glass
- glass2 - Glass2
- vehicle.glass - Vehicle.glass
Last updated 2 years agofrom:213c3e9497. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 08 2024 |
R-4.5-win-x86_64 | NOTE | Oct 08 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 08 2024 |
R-4.4-win-x86_64 | NOTE | Oct 08 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 08 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 08 2024 |
R-4.3-win-x86_64 | OK | Oct 08 2024 |
R-4.3-mac-x86_64 | OK | Oct 08 2024 |
R-4.3-mac-aarch64 | OK | Oct 08 2024 |
Exports:calculate_lambda_thresholdfind_B0find_T0find_T2generate_indicespartitionpartition.multiplot.sk_partition_treeprepare_dataptsquaredungroup.partition
Dependencies:Rcpp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate the significance threshold for Lambda. | calculate_lambda_threshold |
Calculate B0 | find_B0 |
Calculate T0 for a given list of glass fragments and features. | find_T0 |
Calculate Hotelling's T^2 Statistic for two independent multivariate samples. | find_T2 |
Generate a test array of Glass-Fragment Refractive Indices. | generate_indices |
glass | glass |
glass2 | glass2 |
has.children | has.children |
Order a list of data frames containing numerical columns by their euclidean distance to the mean. | order_euclid |
Create Partitions of an RI array. | partition |
Create Partitions of a multivariate array of objects. | partition.multi |
Plot S3method for objects of type "sk_partition_tree". | plot.sk_partition_tree |
prepare_data | prepare_data |
Calculate the Probability for a given T^2 statistic. | ptsquared |
ungroup.partition | ungroup.partition |
vehicle.glass | vehicle.glass |