Learn R Programming

bulletr

Analyze bullet striations using nonparametric methods

Copy Link

Version

Install

install.packages('bulletr')

Monthly Downloads

211

Version

0.1

License

GPL-3

Issues

0

Pull Requests

0

Stars

0

Forks

0

Maintainer

Eric Hare

Last Published

April 26th, 2017

Functions in bulletr (0.1)

bulletCheckCrossCut

Identifying a reliable cross section
bulletGetMaxCMS

Identify the number of maximum CMS between two bullet lands
getCircle

Estimate center and radius
getTwist

Estimate the twist in a bullet land
CMS

Table of the number of consecutive matches
boot_fit_loess

Fit a LOESS model with bootstrap samples
smoothloess

Predict smooth from a fit
striation_identify

Match striation marks across two cross sections based on previously identified peaks and valleys
bulletGetMaxCMS_nist

Identify the number of maximum CMS between two bullet lands
bulletSmooth

Smooth the surface of a bullet
plot_3d_land

Plot a bullet land using plotly
fit_loess

Fit a loess curve to a bullet data frame
fortify_x3p

Convert a list of x3p file into a data frame
get_peaks_nist

Identify the location and the depth of peaks and heights at a crosscut
maxCMS

Number of maximum consecutively matching striae
br411

3d topological surface measurements for one land of a bullet from the Hamby study
bulletAlign

Align two surface cross cuts according to maximal correlation
get_grooves

Find the grooves of a bullet land
get_peaks

Identify the location and the depth of peaks and heights at a crosscut
unfortify_x3p

Convert a data frame into an x3p file
get_bullet

Deprecated function use get_crosscut
get_crosscut

Read a crosscut from a 3d surface file
predSmooth

Estimate predictions and residuals for a smooth of x and y
processBullets

Process x3p file
predCircle

Estimate predictions and residuals for a circle fit of x and y
read_x3p

Read an x3p file as an R Data Frame
sample_x3p

Sample every X element of a data frame