Package index • structr

All functions

Fault_PT(): Simple fault analysis
Fault_rake() Fault_slip() Fault_plane() Fault_sense(): Extract components of fault object
Fault_from_rake_quadrant(): Fault from rake and quadrant notation
Mohr_calc(): Mohr circle parameters
Mohr_plot(): Mohr Circle plot
PR_stress(): Principal stresses from 2D stress components
Pair_pitch(): Pitch of a pair
Plane_from_apparent_dips(): Apparent dip direction
Plane_pitch(): Pitch of a line of a plane
RGN_plot(): Rigid Grain Net (RGN)
Rphi_plot(): R_f/ϕ plot
Rphi_polar_plot() elliott_plot(): Polar R_f/ϕ plot (Elliott plot)
SH(): Direction of maximum horizontal stress from the stress tensor
SH_from_tensor(): Direction of maximum horizontal stress from the stress tensor (full knowledge)
Wellner_inference_ray(): Two-sample test, based on permutations and Wellner's Rayleigh-style T-statistic (Wellner, 1979, Example 1a).
angelier1990: Fault-Slip Data
antipode(): Antipode Vector
apparent_dip_direction(): Apparent dip direction
stereo_arrows() arrows(<spherical>): Add Arrows to a Stereoplot
assign_cex() assign_cex_binned() assign_cex_d() legend_cex(): Assign plotting size (cex values) to a vector
assign_col_d() assign_col() assign_col_binned() legend_col() legend_col_d(): Helper functions to assign plotting colors to a vector
assign_pch() assign_pch_binned() legend_pch(): Assigns plotting characters (pch values) to a vector
azimuth_to_cardinal(): Converts azimuth angles into Cardinal directions
balebrun_plot(): Dip-Pitch-Plunge Triangular Diagram
regression_greatcircle() regression_smallcircle(): Least-Square Fit of Small and Great Circles to Spherical Data
regression_cone_ramsay() regression_cone_ramsay2(): Cone or Plane Best Fit of Conically or Cylindrical Disposed Plane Poles
bingham_inference(): Confidence region for the mean of the Bingham distribution.
bingham_MLE(): Maximum likelihood estimation of the Bingham distribution parameters.
bingham_statistics(): Elliptical Concentration and Confidence Cone Estimation
center(): Centering Vectors
pair2rot() is.Rotation() as.Rotation() rot2pair(): Orientation matrix from fault planes and slip directions
is.spherical() is.Vec3() is.Line() is.Ray() is.Plane() is.Pair() is.Fault() as.spherical() as.Vec3() as.Line() as.Ray() as.Plane() as.Pair() as.Fault() Vec3() Line() Ray() Plane() Pair() Fault() Spherical(): Structr Classes
colorblind_pal(): Colorblind Color Palette (Discrete) and Scales
confidence_ellipse(): Confidence ellipse
count_points(): Point density
is.defgrad() as.defgrad() defgrad() defgrad_from_ratio() defgrad_from_shearstrain() defgrad_from_vectors() defgrad_from_axisangle() defgrad_from_comp() defgrad_from_simpleshear() defgrad_from_pureshear() defgrad_from_generalshear() defgrad_from_dilation(): Deformation Gradient Tensor
exponential_kamb() linear_inverse_kamb() square_inverse_kamb() kamb_count() schmidt_count(): Density estimation
density(<spherical>) density_calc(): Spherical density estimation
kent_MLE() vmf_MLE(): Maximum likelihood estimation of Spherical Rotational Symmetric Distributions
drillcore_transformation(): Orientation of structures from drill core orientation angles
ellipse(): Add an Ellipse to existing plot
is.ellipsoid() as.ellipsoid() ellipsoid(): Ellipsoid class
volume() lode() nadai() jelinek() flinn() size_invariant() strain_invariant() shape_invariant() kind(): Ellipsoid shape parameters
ellipsoid_from_stretch(): Ellipsoid tensor from principal stretches
example_lines: Intersection lineations as "Line" object
example_lines_df: Intersection lineation data
example_planes: Planes orientations as "Plane" objects
example_planes_df: Planes orientations data
failure_criterion(): Failure Criterion
fault_plot() hoeppener() angelier(): Add Fault Data to Existing Plot
Fault_from_rake() Pair_from_pitch(): Fault from plane and rake
displacement_tensor() displacement_tensor_decomposition(): Fault displacement tensor
fault_displacements(): Fault displacement components
fault_instability_criterion(): Fault Instability Criterion
fisher_inference(): Confidence Region for the Fisher Distribution Mean.
fisher_MLE(): Maximum likelihood estimation of the Fisher parameters.
fisher_ftest(): Test of Mean Orientations
fisher_statistics(): Fisher's Statistics
flinn_plot(): Flinn Diagram
geodesic_mean_line() geodesic_mean_ray() geodesic_var_line() geodesic_var_ray() geodesic_meanvariance_line() geodesic_meanvariance_ray(): The Fréchet (geodesic \(L^2\)) mean of a set of lines or rays
geodesic_mean(): The Fréchet (geodesic \(L^2\)) mean
geodesic_var(): The Fréchet (geodesic \(L^2\)) variance
ggMohr(): Mohr Circle plot
ggframe(): Stereoplot Perimeter
ggstereo(): Stereoplot using ggplot
geom_contour_stereo() geom_contourf_stereo(): Stereoplot contouring using ggplot
is.velgrad() as.velgrad() velgrad(): Velocity gradient gradient tensors
gray_example: Bedding and cleavage data
head(<spherical>) tail(<spherical>): Return the First or Last Parts of a Spherical Object
holst: 3D Strain Data I
hossack1968: 3D Strain Data II
hsu_plot(): Fabric Plot of Hsu (1965)
hypercontour(): Calculates densities for fabric and strain data
inertia_tensor(): Inertia Tensor
lines(<spherical>) lines(<Line>): Add Lines to a Plot
geodesic_mean_pair() geodesic_var_pair(): Mean orientation of a set of pairs or faults
mean_strain_ellipse(): Mean strain ellipse
mean_strain_ellipse_ramsay(): Mean strain ellipse after Ramsay (1967)
is.ortensor() as.ortensor() ortensor(): Orientation Tensor
osmundsen2010: Fault-Slip Data from Northern Norway
ot_eigen(): Eigenvalues and Eigenvectors of a Set of Vectors
misfit_pair() correct_pair(): Orthogonalization of plane and line measurement
perm_rsq() perm_rsq_pvalue(): Permutation Tests of Regressions
plot(<Line>) plot(<Vec3>) plot(<Ray>) plot(<Plane>) plot(<Pair>) plot(<Fault>): Plot Spherical Objects
points(<spherical>): Add Points to a Plot
gg() ggl(): Prepare points and lines for ggplot
principal_fault(): Calculate Principal Fault planes from stress vectors and friction
projected_mean(): Projected Mean
quadrant2dd(): Converts strike and dip quadrant notation into into dip direction
ramsay: R/phi data
rbingham() rbingham_eig(): Bingham Distribution
reduced_stress(): Reduced stress tensor
regression_gray(): Least-Square Fit of Small and Great Circles to Spherical Data
rfb(): Spherical Fisher-Bingham Distribution
rhr2dd() dd2rhr(): Converts strike into dip direction using right-hand rule
rkent(): Kent Distribution
rotate(): Vector Rotation
rotate_stereogrid(): Center gridlines on a given point
rrot(): Random Rotation Matrices
runif.spherical(): Uniformly Distributed Vectors on the Sphere
rwatson(): Watson Distribution
sample_spherical(): Random Samples and Permutations of Spherical Objects
scale_weights(): Scaling weightings
sense_from_strikeslip(): Dip-slip Kinematics from Strike-Slip Faults
shebandowan: Vorticity from Rotated Porphyroclasts
sigma13(): Principle stresses
simongomez: Example data set
slerp(): Spherical Linear Interpolation (Slerp)
slip_inversion(): Stress Inversion for Fault-Slip Data
slip_inversion_angelier(): Stress Inversion for Fault-Slip Data after Angelier (1990)
slip_inversion_hansen(): 9D Direct Inversion for Fault Slip Including Vorticity
slip_inversion_hansen_boot(): 9D Direct Inversion for Fault Slip Including Vorticity with Confidence Intervals
slip_inversion_michael(): Stress Inversion for Fault-Slip Data after Michael (1984)
slip_inversion_misfit(): Misfit parameters of slip inversion
slip_inversion_simple(): Simple Statistical Fault-Slip Inversion
sort_by(<strabo>): Sorting StraboSpot Projects
sph_dist(): Angular Distance Matrix for Orientation Vectors
prcomp(<Vec3>) prcomp(<Ray>) prcomp(<Line>) prcomp(<Plane>) prcomp(<Pair>): Principal component (geodesic) analysis in the tangent space.
sph_cluster(): Cluster Spherical Data
split_trailing_letters() split_strike(): Parse measurement and direction strings
sph_mean() sph_sd() sph_var() sph_confidence_angle() rdegree() sd_error() delta() estimate_k(): Statistical Estimators of the Distribution of a Set of Vectors
stereo_pair(): Stereographic Projection of Pairs
stereo_smallcircle() stereo_greatcircle(): Stereographic Projection of Cones
stereo_confidence(): Plot Bootstrapped Confidence Ellipse
contour(<spherical>) contour(<sph_density>) contourf() image(<spherical>) image(<sph_density>): Plot Spherical Densities in a Spherical Projection
stereo_coords(): Stereographic Projection
stereo_lines(): Lines in a Stereoplot
stereo_path(): Deformation Paths in Steroplot
stereo_point(): Stereographic Projection of Lines and Planes
stereo_segment(): Great-circle Segment Between Two Vectors
stereo_shmax(): Horizontal directions
stereoplot(): Stereographic and Equal Area Projection
stereoplot_frame(): Stereoplot frame
stereoplot_guides(): Stereoplot Gridlines
stereoplot_ticks(): Stereoplot Tick Marks
read_strabo_xlsx() read_strabo_xls() read_strabo_mobile() read_strabo_JSON(): Import orientation data from StraboSpot
strabo_prj: Example of StraboSpot Project
principal_stretch() principal_strain() shape_params(): Principal Stretches, Strain and Shape Parameters based on the Orientation Tensor.
diff_stress() mean_stress() shear_stress() normal_stress() fracture_angle() slip_tendency() dilatation_tendency(): Stress components
stress_shape(): Shape parameters of the stress ellipsoid
stress_transformation(): Stress transformation
strikeslip_kinematics(): Strike-slip Kinematics
structr structr-package: library(structr)
subset(<strabo>): Subsetting StraboSpot Projects
summary(<spherical>): Summary Statistics
symmetry_group(): Symmetry groups
tau2shearnorm() tau2tendency(): Resolved Shear and Normal Stress
tau2rup(): Angelier's Ratio Upsilon (RUP)
tau2stress(): Principal Stresses from Stress Tensor
tau_max(): Maximum in-plane shear stress
text(<spherical>): Add Points to a Plot
variance_plot(): Variance Plot
vec_list() list_vec(): List of vectors
vector_length() vector_norm() crossprod(<Vec3>) crossprod(<Line>) crossprod(<Ray>) crossprod(<Plane>) dotprod() angle() project() reject() transform_linear(): Vector Algebra
velgrad_rate() velgrad_spin(): Rate and spin of velocity gradient tensor
vollmer_plot(): Fabric Plot of Vollmer (1990)
vollmer(): Fabric Intensity and Shape of Orientation Tensor
rvmf() dvmf(): von Mises-Fisher Distribution
flow_apophyses() vorticity_axis() kinematic_vorticity_from_velgrad() instantaneous_stretching() instantaneous_stretching_axes(): Flow Apophyses, Vorticity, and Instantaneous Stretching Axes
watson_inference(): One-sample inference about the mean of the Watson distribution.
watson_MLE(): Maximum Likelihood Estimation of the Watson Distribution Parameters.
wellner() wellner_inference(): Wellner's Two-Sample Test
wellner_exact_inference_ray(): Two-sample test, based on permutations and Wellner's Rayleigh-style T-statistic (Wellner, 1979, Example 1a).
woodcock_plot(): Fabric Plot of Woodcock (1977)