deform.snet | R Documentation |
Two-epochs deformation analysis based on congruency testing
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") )
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
dataframe with two columns: "Name" indicating the name of the point and "stable" indicating the stability status of the point (TRUE or FALSE)
## Not run: if(interactive()){ #EXAMPLE1 } ## End(Not run)
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