snet.stable: deform.snet

deform.snetR Documentation

deform.snet

Description

Two-epochs deformation analysis based on congruency testing

Usage

deform.snet(
  snet_1_path,
  snet_2_path,
  sd.apriori,
  units = "mm",
  dim_type = "1D",
  prob = 0.95,
  wdh_model = list("n_dh", "sd_dh", "d_dh", "E")
)

Arguments

snet_1_path

Path to the data of the first epoch of the measurements

snet_2_path

Path to the data of the second epoch of the measurements

sd.apriori

Apriori standard deviation

units

Units of the results, Default: 'mm'

dim_type

Dimension type of the network, Default: '1D'

prob

Probability for statistical testing, Default: 0.95

wdh_model

Weightening model for leveling measurements, Default: list("n_dh", "sd_dh", "d_dh", "E")

Details

DETAILS

Value

dataframe with two columns: "Name" indicating the name of the point and "stable" indicating the stability status of the point (TRUE or FALSE)

Examples

## Not run: 
if(interactive()){
 #EXAMPLE1
 }

## End(Not run)

pejovic/Surveyer documentation built on Sept. 26, 2022, 7:24 p.m.