All functions

Barton_Choubey()

Barton-Choubey criterion

Barton_Choubey_plot()

Barton-Choubey criterion plot

CIPW()

CIPW Norm

CPTu_data

Example data for calculation of T2-statistic

CoDA_2Group_All()

CoDA Two Group Hypothesis All At Once

CoDA_2Group_H1()

CoDA Two Group Hypothesis 1

CoDA_2Group_H2()

CoDA Two Group Hypothesis 2

CoDA_2Group_H3()

CoDA Two Group Hypothesis 3

CoDA_Atyp_Idx()

CoDA Atypicality Index

CoDA_Univariate()

CoDA Univariate Statistics

DPM_data

Example data for calculation of RI coefficient or T-statistic

DS_Mohr_plot()

Draws the Mohr circles for a direct shear set of results

DS_plot()

Draws the results for a direct shear test

Gini()

Gini index for a given split of a categorical variable

Hoek_Brown()

Hoek-Brown criterion

Hoek_Brown_plot()

Hoek-Brown criterion plot

Klimmeridge

Klimmeridge shale organic matter content

Mohr_Circle()

Mohr circle solution and plot

Nc()

Bearing capacity factor Nc

NewStats_2samples()

New Statistics two samples (idependent & dependent)

NewStats_contrasts()

New Statistics contrasts

Ngamma()

Bearing capacity factor Ngamma

Nq()

Bearing capacity factor Nq

Q_93()

Q system (1993)

RI()

Intraclass Correlation Coefficient for layer boundary determination

R_crit()

Mean resultant length critical value

Spearman_crit()

Spearman critical value

T2_stat()

Hotelling T2-statistic for layer boundary determination

TAS()

TAS Diagram

T_stat()

T-statistic for layer boundary determination

UCS()

Uniaxial Compressive Strength (UCS)

additional_pks()

Additional useful packages

bearing_capacity()

Bearing capacity

carolina

Data for directional examples

ci_F()

Confidence interval for ratio of variances (standard deviations) of 2 samples

ci_chisq()

Confidence interval for variance (standard deviation) of a sample

ci_t()

Confidence interval for mean (unknown sigma)

ci_t2()

Confidence interval for difference of the mean between 2 samples (unknown sigmas)

ci_z()

Confidence interval for mean (known sigma)

ci_z2()

Confidence interval for difference of the mean between 2 samples (known sigmas)

cp_aic_eta()

Changepoint analysis of different layer models

cp_layers()

Plots a layered model and summarizes the statistics for each layer from a Changepoint result

d2s()

Conversion from dip directions to strike

degs()

Degrees

dichotomy()

Splits a vector into two classes

dir_2sample_test_2D()

Directional statistics two-sample test (2D)

dir_2sample_test_3D()

Directional statistics two-sample test (3D)

dir_stats_2D()

Directional statistics for the 2D case

dir_stats_3D()

Directional statistics for the 3D case

dir_stats_ps()

Principal stresses

dir_unif_test_2D()

Directional statistics test of uniformity (2D)

dir_unif_test_3D()

Directional statistics test of uniformity (3D)

entropy()

Entropy for a given split of a categorical variable

induced_stress()

Induced stress on a surface

inv_logit()

Inverse logit

layers_window()

Plots a layered model and summarizes the statistics for each layer

mcp()

Multiple change-point analysis for layer boundary determination

moving_avg_filter()

Moving average filter

moving_filter_plot_f()

Moving (weighted) average filter plot (filtered)

moving_filter_plot_r()

Moving (weighted) average filter plot (residual)

moving_wt_filter()

Moving weighted average filter

nautilus

Data for moving average filter

piper_data_prep()

Piper Data Preparation

piper_diagram()

Piper diagram

pval_F()

P-value for ratio of standard deviations of 2 samples

pval_chisq()

P-value for proposed standard deviation (variance) of a population

pval_corr()

P-value for coefficient of correlation between two variables

pval_t()

P-value for proposed mean of a population (unknown sigma)

pval_t2()

P-value for proposed difference of the mean between 2 samples

pval_z()

P-value for proposed mean of a population (known sigma)

rads()

Radians

rose_diag_2D()

Rose diagram (2D)

rose_diag_3D()

Rose diagram (3D)

s2d()

Conversion from strike to dip directions

sc_bic()

Structural change analysis of different layer models

sc_layers()

Plots a layered model and summarizes the statistics for each layer from a Strucchange result

similarity_coef()

Similarity Coefficient

stereo_lines()

Stereonet (lines)

stereo_mean()

Stereonet (mean)

stereo_plane()

Stereonet (planes)

stereo_pole()

Stereonet (poles)

stereo_ps()

Stereonet (principal stresses)

ternary_afm()

AFM Ternary Diagram

ternary_folk()

Folk's Ternary Diagram for Sandstones

ternary_pyroclastic()

Ternary Diagram for Pyroclastic Rocks

ternary_qap()

QAP Ternary Diagram for Plutonic and Volcanic Rocks

ternary_qap_g()

QAP Ternary Diagram for Gabbroic Rocks

ternary_qap_m()

QAP Ternary Diagram for Mafic Rocks

ternary_qap_um()

QAP Ternary Diagram for Ultramafic Rocks

ternary_qmflt()

QmFLt Ternary Diagram for Provenance Analysis

ternary_qtfl()

QtFL Ternary Diagram for Provenance Analysis

ternary_shepard()

Shepard's Ternary Diagram for Soils