Reads inst/extdata/reference.csv: one row per published number, with its source, the R call
that recomputes it with this package (call), the expression that extracts the number from the result
(extract, in terms of x), the printed value and the digits to compare. The same file drives the test
of published values and the vignette that reproduces the published examples. Each distinct call is evaluated once.
Value
A data.table with columns id, source, quantity, call, extract,
value, digits, level, note (and computed, agrees).
See also
Other stability utilities:
stab_notation(),
stab_save(),
stab_theme()
Author
Muhammad Yaseen (myaseen208@gmail.com)
Examples
ref <-
stab_reference(
source = NULL
, evaluate = FALSE
, level = 1
)
ref
#> id source
#> <char> <char>
#> 1: eskridge1990_EV_1 Eskridge (1990), Crop Science 30, Table 4
#> 2: eskridge1990_EV_2 Eskridge (1990), Crop Science 30, Table 4
#> 3: eskridge1990_EV_3 Eskridge (1990), Crop Science 30, Table 4
#> 4: eskridge1990_EV_4 Eskridge (1990), Crop Science 30, Table 4
#> 5: eskridge1990_EV_5 Eskridge (1990), Crop Science 30, Table 4
#> 6: eskridge1990_EV_6 Eskridge (1990), Crop Science 30, Table 4
#> 7: eskridge1990_EV_7 Eskridge (1990), Crop Science 30, Table 4
#> 8: eskridge1990_EV_8 Eskridge (1990), Crop Science 30, Table 4
#> 9: eskridge1990_EV_9 Eskridge (1990), Crop Science 30, Table 4
#> 10: eskridge1990_EV_10 Eskridge (1990), Crop Science 30, Table 4
#> 11: eskridge1990_EV_11 Eskridge (1990), Crop Science 30, Table 4
#> 12: eskridge1990_EV_12 Eskridge (1990), Crop Science 30, Table 4
#> 13: eskridge1990_FW_1 Eskridge (1990), Crop Science 30, Table 4
#> 14: eskridge1990_FW_2 Eskridge (1990), Crop Science 30, Table 4
#> 15: eskridge1990_FW_3 Eskridge (1990), Crop Science 30, Table 4
#> 16: eskridge1990_FW_4 Eskridge (1990), Crop Science 30, Table 4
#> 17: eskridge1990_FW_5 Eskridge (1990), Crop Science 30, Table 4
#> 18: eskridge1990_FW_6 Eskridge (1990), Crop Science 30, Table 4
#> 19: eskridge1990_FW_7 Eskridge (1990), Crop Science 30, Table 4
#> 20: eskridge1990_FW_8 Eskridge (1990), Crop Science 30, Table 4
#> 21: eskridge1990_FW_9 Eskridge (1990), Crop Science 30, Table 4
#> 22: eskridge1990_FW_10 Eskridge (1990), Crop Science 30, Table 4
#> 23: eskridge1990_FW_11 Eskridge (1990), Crop Science 30, Table 4
#> 24: eskridge1990_FW_12 Eskridge (1990), Crop Science 30, Table 4
#> 25: eskridge1990_SH_1 Eskridge (1990), Crop Science 30, Table 4
#> 26: eskridge1990_SH_2 Eskridge (1990), Crop Science 30, Table 4
#> 27: eskridge1990_SH_3 Eskridge (1990), Crop Science 30, Table 4
#> 28: eskridge1990_SH_4 Eskridge (1990), Crop Science 30, Table 4
#> 29: eskridge1990_SH_5 Eskridge (1990), Crop Science 30, Table 4
#> 30: eskridge1990_SH_6 Eskridge (1990), Crop Science 30, Table 4
#> 31: eskridge1990_SH_7 Eskridge (1990), Crop Science 30, Table 4
#> 32: eskridge1990_SH_8 Eskridge (1990), Crop Science 30, Table 4
#> 33: eskridge1990_SH_9 Eskridge (1990), Crop Science 30, Table 4
#> 34: eskridge1990_SH_10 Eskridge (1990), Crop Science 30, Table 4
#> 35: eskridge1990_SH_11 Eskridge (1990), Crop Science 30, Table 4
#> 36: eskridge1990_SH_12 Eskridge (1990), Crop Science 30, Table 4
#> 37: eskridge1990_ER_1 Eskridge (1990), Crop Science 30, Table 4
#> 38: eskridge1990_ER_2 Eskridge (1990), Crop Science 30, Table 4
#> 39: eskridge1990_ER_3 Eskridge (1990), Crop Science 30, Table 4
#> 40: eskridge1990_ER_4 Eskridge (1990), Crop Science 30, Table 4
#> 41: eskridge1990_ER_5 Eskridge (1990), Crop Science 30, Table 4
#> 42: eskridge1990_ER_6 Eskridge (1990), Crop Science 30, Table 4
#> 43: eskridge1990_ER_7 Eskridge (1990), Crop Science 30, Table 4
#> 44: eskridge1990_ER_8 Eskridge (1990), Crop Science 30, Table 4
#> 45: eskridge1990_ER_9 Eskridge (1990), Crop Science 30, Table 4
#> 46: eskridge1990_ER_10 Eskridge (1990), Crop Science 30, Table 4
#> 47: eskridge1990_ER_11 Eskridge (1990), Crop Science 30, Table 4
#> 48: eskridge1990_ER_12 Eskridge (1990), Crop Science 30, Table 4
#> id source
#> <char> <char>
#> quantity
#> <char>
#> 1: EV of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 2: EV of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 3: EV of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 4: EV of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 5: EV of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 6: EV of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 7: EV of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 8: EV of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 9: EV of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 10: EV of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 11: EV of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 12: EV of entry 12 (alpha = 0.05) from the summaries of Table 3
#> 13: FW of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 14: FW of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 15: FW of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 16: FW of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 17: FW of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 18: FW of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 19: FW of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 20: FW of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 21: FW of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 22: FW of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 23: FW of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 24: FW of entry 12 (alpha = 0.05) from the summaries of Table 3
#> 25: SH of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 26: SH of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 27: SH of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 28: SH of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 29: SH of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 30: SH of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 31: SH of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 32: SH of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 33: SH of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 34: SH of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 35: SH of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 36: SH of entry 12 (alpha = 0.05) from the summaries of Table 3
#> 37: ER of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 38: ER of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 39: ER of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 40: ER of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 41: ER of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 42: ER of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 43: ER of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 44: ER of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 45: ER of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 46: ER of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 47: ER of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 48: ER of entry 12 (alpha = 0.05) from the summaries of Table 3
#> quantity
#> <char>
#> call
#> <char>
#> 1: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 2: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 3: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 4: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 5: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 6: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 7: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 8: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 9: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 10: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 11: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 12: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 13: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 14: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 15: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 16: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 17: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 18: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 19: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 20: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 21: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 22: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 23: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 24: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 25: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 26: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 27: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 28: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 29: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 30: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 31: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 32: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 33: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 34: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 35: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 36: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 37: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 38: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 39: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 40: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 41: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 42: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 43: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 44: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 45: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 46: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 47: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 48: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> call
#> <char>
#> extract value digits level
#> <char> <num> <int> <int>
#> 1: x$EV[1] 2.24 2 1
#> 2: x$EV[2] 2.04 2 1
#> 3: x$EV[3] 1.72 2 1
#> 4: x$EV[4] 2.14 2 1
#> 5: x$EV[5] 1.46 2 1
#> 6: x$EV[6] 1.90 2 1
#> 7: x$EV[7] 1.67 2 1
#> 8: x$EV[8] 1.74 2 1
#> 9: x$EV[9] 2.83 2 1
#> 10: x$EV[10] 2.36 2 1
#> 11: x$EV[11] 2.26 2 1
#> 12: x$EV[12] 2.49 2 1
#> 13: x$FW[1] 4.52 2 1
#> 14: x$FW[2] 4.38 2 1
#> 15: x$FW[3] 3.76 2 1
#> 16: x$FW[4] 3.81 2 1
#> 17: x$FW[5] 3.87 2 1
#> 18: x$FW[6] 4.28 2 1
#> 19: x$FW[7] 4.03 2 1
#> 20: x$FW[8] 4.17 2 1
#> 21: x$FW[9] 4.16 2 1
#> 22: x$FW[10] 4.33 2 1
#> 23: x$FW[11] 3.10 2 1
#> 24: x$FW[12] 4.60 2 1
#> 25: x$SH[1] 2.47 2 1
#> 26: x$SH[2] 2.20 2 1
#> 27: x$SH[3] 1.58 2 1
#> 28: x$SH[4] 1.81 2 1
#> 29: x$SH[5] 1.75 2 1
#> 30: x$SH[6] 2.18 2 1
#> 31: x$SH[7] 2.20 2 1
#> 32: x$SH[8] 2.17 2 1
#> 33: x$SH[9] 2.28 2 1
#> 34: x$SH[10] 2.19 2 1
#> 35: x$SH[11] 1.41 2 1
#> 36: x$SH[12] 2.24 2 1
#> 37: x$ER[1] 4.34 2 1
#> 38: x$ER[2] 3.85 2 1
#> 39: x$ER[3] 3.12 2 1
#> 40: x$ER[4] 3.35 2 1
#> 41: x$ER[5] 3.18 2 1
#> 42: x$ER[6] 3.70 2 1
#> 43: x$ER[7] 3.67 2 1
#> 44: x$ER[8] 3.55 2 1
#> 45: x$ER[9] 3.78 2 1
#> 46: x$ER[10] 3.76 2 1
#> 47: x$ER[11] 2.86 2 1
#> 48: x$ER[12] 3.73 2 1
#> extract value digits level
#> <char> <num> <int> <int>
#> note
#> <char>
#> 1:
#> 2:
#> 3:
#> 4:
#> 5:
#> 6:
#> 7:
#> 8:
#> 9:
#> 10:
#> 11: inputs of Table 3 are rounded to two decimals; computed 2.265
#> 12:
#> 13:
#> 14:
#> 15:
#> 16:
#> 17:
#> 18:
#> 19:
#> 20: Table 3 prints b = 1.27 for entry 8 (as for entry 7); the published FW and ER fit b = 1.22, so the printed slope is taken as a misprint
#> 21:
#> 22:
#> 23:
#> 24:
#> 25:
#> 26:
#> 27:
#> 28:
#> 29:
#> 30:
#> 31:
#> 32:
#> 33:
#> 34:
#> 35:
#> 36:
#> 37: inputs of Table 3 are rounded to two decimals; computed 4.356
#> 38: inputs of Table 3 are rounded to two decimals; computed 3.844
#> 39:
#> 40: inputs of Table 3 are rounded to two decimals; computed 3.363
#> 41: inputs of Table 3 are rounded to two decimals; computed 3.174
#> 42: inputs of Table 3 are rounded to two decimals; computed 3.709
#> 43: inputs of Table 3 are rounded to two decimals; computed 3.679
#> 44: see the note on FW of entry 8: the published value fits b = 1.22
#> 45: inputs of Table 3 are rounded to two decimals; computed 3.763
#> 46: inputs of Table 3 are rounded to two decimals; computed 3.751
#> 47: inputs of Table 3 are rounded to two decimals; computed 2.854
#> 48:
#> note
#> <char>
# \donttest{
stab_reference(
source = "."
, evaluate = TRUE
, level = 1
)
#> id source
#> <char> <char>
#> 1: eskridge1990_EV_1 Eskridge (1990), Crop Science 30, Table 4
#> 2: eskridge1990_EV_2 Eskridge (1990), Crop Science 30, Table 4
#> 3: eskridge1990_EV_3 Eskridge (1990), Crop Science 30, Table 4
#> 4: eskridge1990_EV_4 Eskridge (1990), Crop Science 30, Table 4
#> 5: eskridge1990_EV_5 Eskridge (1990), Crop Science 30, Table 4
#> 6: eskridge1990_EV_6 Eskridge (1990), Crop Science 30, Table 4
#> 7: eskridge1990_EV_7 Eskridge (1990), Crop Science 30, Table 4
#> 8: eskridge1990_EV_8 Eskridge (1990), Crop Science 30, Table 4
#> 9: eskridge1990_EV_9 Eskridge (1990), Crop Science 30, Table 4
#> 10: eskridge1990_EV_10 Eskridge (1990), Crop Science 30, Table 4
#> 11: eskridge1990_EV_11 Eskridge (1990), Crop Science 30, Table 4
#> 12: eskridge1990_EV_12 Eskridge (1990), Crop Science 30, Table 4
#> 13: eskridge1990_FW_1 Eskridge (1990), Crop Science 30, Table 4
#> 14: eskridge1990_FW_2 Eskridge (1990), Crop Science 30, Table 4
#> 15: eskridge1990_FW_3 Eskridge (1990), Crop Science 30, Table 4
#> 16: eskridge1990_FW_4 Eskridge (1990), Crop Science 30, Table 4
#> 17: eskridge1990_FW_5 Eskridge (1990), Crop Science 30, Table 4
#> 18: eskridge1990_FW_6 Eskridge (1990), Crop Science 30, Table 4
#> 19: eskridge1990_FW_7 Eskridge (1990), Crop Science 30, Table 4
#> 20: eskridge1990_FW_8 Eskridge (1990), Crop Science 30, Table 4
#> 21: eskridge1990_FW_9 Eskridge (1990), Crop Science 30, Table 4
#> 22: eskridge1990_FW_10 Eskridge (1990), Crop Science 30, Table 4
#> 23: eskridge1990_FW_11 Eskridge (1990), Crop Science 30, Table 4
#> 24: eskridge1990_FW_12 Eskridge (1990), Crop Science 30, Table 4
#> 25: eskridge1990_SH_1 Eskridge (1990), Crop Science 30, Table 4
#> 26: eskridge1990_SH_2 Eskridge (1990), Crop Science 30, Table 4
#> 27: eskridge1990_SH_3 Eskridge (1990), Crop Science 30, Table 4
#> 28: eskridge1990_SH_4 Eskridge (1990), Crop Science 30, Table 4
#> 29: eskridge1990_SH_5 Eskridge (1990), Crop Science 30, Table 4
#> 30: eskridge1990_SH_6 Eskridge (1990), Crop Science 30, Table 4
#> 31: eskridge1990_SH_7 Eskridge (1990), Crop Science 30, Table 4
#> 32: eskridge1990_SH_8 Eskridge (1990), Crop Science 30, Table 4
#> 33: eskridge1990_SH_9 Eskridge (1990), Crop Science 30, Table 4
#> 34: eskridge1990_SH_10 Eskridge (1990), Crop Science 30, Table 4
#> 35: eskridge1990_SH_11 Eskridge (1990), Crop Science 30, Table 4
#> 36: eskridge1990_SH_12 Eskridge (1990), Crop Science 30, Table 4
#> 37: eskridge1990_ER_1 Eskridge (1990), Crop Science 30, Table 4
#> 38: eskridge1990_ER_2 Eskridge (1990), Crop Science 30, Table 4
#> 39: eskridge1990_ER_3 Eskridge (1990), Crop Science 30, Table 4
#> 40: eskridge1990_ER_4 Eskridge (1990), Crop Science 30, Table 4
#> 41: eskridge1990_ER_5 Eskridge (1990), Crop Science 30, Table 4
#> 42: eskridge1990_ER_6 Eskridge (1990), Crop Science 30, Table 4
#> 43: eskridge1990_ER_7 Eskridge (1990), Crop Science 30, Table 4
#> 44: eskridge1990_ER_8 Eskridge (1990), Crop Science 30, Table 4
#> 45: eskridge1990_ER_9 Eskridge (1990), Crop Science 30, Table 4
#> 46: eskridge1990_ER_10 Eskridge (1990), Crop Science 30, Table 4
#> 47: eskridge1990_ER_11 Eskridge (1990), Crop Science 30, Table 4
#> 48: eskridge1990_ER_12 Eskridge (1990), Crop Science 30, Table 4
#> id source
#> <char> <char>
#> quantity
#> <char>
#> 1: EV of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 2: EV of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 3: EV of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 4: EV of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 5: EV of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 6: EV of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 7: EV of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 8: EV of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 9: EV of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 10: EV of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 11: EV of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 12: EV of entry 12 (alpha = 0.05) from the summaries of Table 3
#> 13: FW of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 14: FW of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 15: FW of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 16: FW of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 17: FW of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 18: FW of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 19: FW of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 20: FW of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 21: FW of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 22: FW of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 23: FW of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 24: FW of entry 12 (alpha = 0.05) from the summaries of Table 3
#> 25: SH of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 26: SH of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 27: SH of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 28: SH of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 29: SH of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 30: SH of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 31: SH of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 32: SH of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 33: SH of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 34: SH of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 35: SH of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 36: SH of entry 12 (alpha = 0.05) from the summaries of Table 3
#> 37: ER of entry 1 (alpha = 0.05) from the summaries of Table 3
#> 38: ER of entry 2 (alpha = 0.05) from the summaries of Table 3
#> 39: ER of entry 3 (alpha = 0.05) from the summaries of Table 3
#> 40: ER of entry 4 (alpha = 0.05) from the summaries of Table 3
#> 41: ER of entry 5 (alpha = 0.05) from the summaries of Table 3
#> 42: ER of entry 6 (alpha = 0.05) from the summaries of Table 3
#> 43: ER of entry 7 (alpha = 0.05) from the summaries of Table 3
#> 44: ER of entry 8 (alpha = 0.05) from the summaries of Table 3
#> 45: ER of entry 9 (alpha = 0.05) from the summaries of Table 3
#> 46: ER of entry 10 (alpha = 0.05) from the summaries of Table 3
#> 47: ER of entry 11 (alpha = 0.05) from the summaries of Table 3
#> 48: ER of entry 12 (alpha = 0.05) from the summaries of Table 3
#> quantity
#> <char>
#> call
#> <char>
#> 1: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 2: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 3: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 4: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 5: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 6: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 7: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 8: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 9: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 10: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 11: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 12: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 13: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 14: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 15: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 16: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 17: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 18: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 19: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 20: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 21: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 22: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 23: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 24: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 25: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 26: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 27: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 28: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 29: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 30: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 31: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 32: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 33: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 34: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 35: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 36: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 37: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 38: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 39: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 40: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 41: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 42: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 43: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 44: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 45: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 46: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 47: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> 48: .stab_safety_core(m = c(4.69, 4.49, 3.93, 4.16, 4.20, 4.54, 4.62, 4.65, 4.68, 4.53, 3.86, 4.60), s2 = c(2.22, 2.21, 1.81, 1.51, 2.77, 2.57, 3.22, 3.13, 1.27, 1.74, 0.94, 1.65), b = c(1.08, 1.05, 0.92, 0.84, 1.15, 1.12, 1.27, 1.27, 0.76, 0.91, 0.65, 1.00), sh = c(0.02, 0.14, 0.24, 0.24, 0.41, 0.26, 0.37, 0.48, 0.33, 0.22, 0.42, 0.26), s2d = c(0.03, 0.15, 0.23, 0.19, 0.35, 0.23, 0.20, 0.36, 0.21, 0.21, 0.16, 0.28), sy2 = 1.87, se2 = 1.80, E = 15, alpha = 0.05)
#> call
#> <char>
#> extract value digits level
#> <char> <num> <int> <int>
#> 1: x$EV[1] 2.24 2 1
#> 2: x$EV[2] 2.04 2 1
#> 3: x$EV[3] 1.72 2 1
#> 4: x$EV[4] 2.14 2 1
#> 5: x$EV[5] 1.46 2 1
#> 6: x$EV[6] 1.90 2 1
#> 7: x$EV[7] 1.67 2 1
#> 8: x$EV[8] 1.74 2 1
#> 9: x$EV[9] 2.83 2 1
#> 10: x$EV[10] 2.36 2 1
#> 11: x$EV[11] 2.26 2 1
#> 12: x$EV[12] 2.49 2 1
#> 13: x$FW[1] 4.52 2 1
#> 14: x$FW[2] 4.38 2 1
#> 15: x$FW[3] 3.76 2 1
#> 16: x$FW[4] 3.81 2 1
#> 17: x$FW[5] 3.87 2 1
#> 18: x$FW[6] 4.28 2 1
#> 19: x$FW[7] 4.03 2 1
#> 20: x$FW[8] 4.17 2 1
#> 21: x$FW[9] 4.16 2 1
#> 22: x$FW[10] 4.33 2 1
#> 23: x$FW[11] 3.10 2 1
#> 24: x$FW[12] 4.60 2 1
#> 25: x$SH[1] 2.47 2 1
#> 26: x$SH[2] 2.20 2 1
#> 27: x$SH[3] 1.58 2 1
#> 28: x$SH[4] 1.81 2 1
#> 29: x$SH[5] 1.75 2 1
#> 30: x$SH[6] 2.18 2 1
#> 31: x$SH[7] 2.20 2 1
#> 32: x$SH[8] 2.17 2 1
#> 33: x$SH[9] 2.28 2 1
#> 34: x$SH[10] 2.19 2 1
#> 35: x$SH[11] 1.41 2 1
#> 36: x$SH[12] 2.24 2 1
#> 37: x$ER[1] 4.34 2 1
#> 38: x$ER[2] 3.85 2 1
#> 39: x$ER[3] 3.12 2 1
#> 40: x$ER[4] 3.35 2 1
#> 41: x$ER[5] 3.18 2 1
#> 42: x$ER[6] 3.70 2 1
#> 43: x$ER[7] 3.67 2 1
#> 44: x$ER[8] 3.55 2 1
#> 45: x$ER[9] 3.78 2 1
#> 46: x$ER[10] 3.76 2 1
#> 47: x$ER[11] 2.86 2 1
#> 48: x$ER[12] 3.73 2 1
#> extract value digits level
#> <char> <num> <int> <int>
#> note
#> <char>
#> 1:
#> 2:
#> 3:
#> 4:
#> 5:
#> 6:
#> 7:
#> 8:
#> 9:
#> 10:
#> 11: inputs of Table 3 are rounded to two decimals; computed 2.265
#> 12:
#> 13:
#> 14:
#> 15:
#> 16:
#> 17:
#> 18:
#> 19:
#> 20: Table 3 prints b = 1.27 for entry 8 (as for entry 7); the published FW and ER fit b = 1.22, so the printed slope is taken as a misprint
#> 21:
#> 22:
#> 23:
#> 24:
#> 25:
#> 26:
#> 27:
#> 28:
#> 29:
#> 30:
#> 31:
#> 32:
#> 33:
#> 34:
#> 35:
#> 36:
#> 37: inputs of Table 3 are rounded to two decimals; computed 4.356
#> 38: inputs of Table 3 are rounded to two decimals; computed 3.844
#> 39:
#> 40: inputs of Table 3 are rounded to two decimals; computed 3.363
#> 41: inputs of Table 3 are rounded to two decimals; computed 3.174
#> 42: inputs of Table 3 are rounded to two decimals; computed 3.709
#> 43: inputs of Table 3 are rounded to two decimals; computed 3.679
#> 44: see the note on FW of entry 8: the published value fits b = 1.22
#> 45: inputs of Table 3 are rounded to two decimals; computed 3.763
#> 46: inputs of Table 3 are rounded to two decimals; computed 3.751
#> 47: inputs of Table 3 are rounded to two decimals; computed 2.854
#> 48:
#> note
#> <char>
#> computed agrees
#> <num> <lgcl>
#> 1: 2.239223 TRUE
#> 2: 2.044749 TRUE
#> 3: 1.717076 TRUE
#> 4: 2.138770 TRUE
#> 5: 1.462418 TRUE
#> 6: 1.903099 TRUE
#> 7: 1.668416 TRUE
#> 8: 1.739957 TRUE
#> 9: 2.826344 TRUE
#> 10: 2.360289 TRUE
#> 11: 2.265255 FALSE
#> 12: 2.487147 TRUE
#> 13: 4.516157 TRUE
#> 14: 4.381348 TRUE
#> 15: 3.756157 TRUE
#> 16: 3.812315 TRUE
#> 17: 3.874045 TRUE
#> 18: 4.279236 TRUE
#> 19: 4.033281 TRUE
#> 20: 4.063281 FALSE
#> 21: 4.158472 TRUE
#> 22: 4.334427 TRUE
#> 23: 3.099438 TRUE
#> 24: 4.600000 TRUE
#> 25: 2.470971 TRUE
#> 26: 2.198984 TRUE
#> 27: 1.580679 TRUE
#> 28: 1.810679 TRUE
#> 29: 1.754749 TRUE
#> 30: 2.179191 TRUE
#> 31: 2.196979 TRUE
#> 32: 2.166325 TRUE
#> 33: 2.279415 TRUE
#> 34: 2.192224 TRUE
#> 35: 1.409223 TRUE
#> 36: 2.239191 TRUE
#> 37: 4.356252 FALSE
#> 38: 3.843752 FALSE
#> 39: 3.122228 TRUE
#> 40: 3.363170 FALSE
#> 41: 3.173751 FALSE
#> 42: 3.709173 FALSE
#> 43: 3.679071 FALSE
#> 44: 3.501856 FALSE
#> 45: 3.763400 FALSE
#> 46: 3.751275 FALSE
#> 47: 2.854345 FALSE
#> 48: 3.729625 TRUE
#> computed agrees
#> <num> <lgcl>
# }