Provides basic quantities which are used in forming a wide variety of diagnostics for checking the quality of fitted model objects.
Value
A tibble with residuals (.resid
), leverage values (.hat
),
cook's distance (.cooksd
), and standardized residuals (.std.resid
).
Details
This function calls residuals.SSN2()
, hatvalues.SSN2()
,
and cooks.distance.SSN2()
and puts the results into a tibble. It is
primarily used when calling augment.SSN2()
.
Examples
# Copy the mf04p .ssn data to a local directory and read it into R
# When modeling with your .ssn object, you will load it using the relevant
# path to the .ssn data on your machine
copy_lsn_to_temp()
temp_path <- paste0(tempdir(), "/MiddleFork04.ssn")
mf04p <- ssn_import(temp_path, overwrite = TRUE)
ssn_mod <- ssn_lm(
formula = Summer_mn ~ ELEV_DEM,
ssn.object = mf04p,
tailup_type = "exponential",
additive = "afvArea"
)
influence(ssn_mod)
#> # A tibble: 45 × 4
#> .resid .hat .cooksd .std.resid
#> <dbl> <dbl> <dbl> <dbl>
#> 1 -2.96 0.157 0.135 -1.31
#> 2 -3.42 0.0924 0.0184 -0.631
#> 3 -3.45 0.0301 0.0103 -0.827
#> 4 -3.35 0.00798 0.000239 -0.245
#> 5 -3.30 0.0105 0.00000674 0.0359
#> 6 -3.52 0.00350 0.00285 -1.28
#> 7 -3.26 0.0179 0.0000144 0.0401
#> 8 -3.25 0.0169 0.0000741 0.0935
#> 9 -3.40 0.00831 0.000891 -0.463
#> 10 -1.45 0.0561 0.0290 -1.02
#> # ℹ 35 more rows