Get C_ss values for use in sensitivity_analysis and compute_sensitivity.
Arguments
- simulated_css
list of pre-generated
C_ssdata, for details see:vignette("package_data", package = "GeoTox").- age
list of atomic vectors containing ages.
- obesity
list of atomic vectors containing obesity status.
- C_ss
list of matrices containing
C_ssvalues.
Examples
# Define inputs
age <- list(c(25, 35, 55),
c(15, 60))
obesity <- list(c("Obese", "Normal", "Obese"),
c("Normal", "Normal"))
C_ss <- sample_Css(simulated_css = geo_tox_data$simulated_css,
age = age,
obesity = obesity)
# Get fixed C_ss data
get_fixed_css(simulated_css = geo_tox_data$simulated_css,
age = age,
obesity = obesity,
C_ss = C_ss)
#> $age
#> $age[[1]]
#> 87-86-5 95-95-4 133-06-2 101-14-4 63-25-2 510-15-6 106-50-3 91-94-1
#> [1,] 5.6245 6.656 2.3210 0.20555 0.10435 0.11010 0.35850 0.1832
#> [2,] 6.7320 8.194 3.0145 0.26055 0.13450 0.14015 0.48860 0.2070
#> [3,] 9.7745 10.615 3.7720 0.34805 0.18920 0.21190 0.66345 0.2928
#> 84-74-2 120-80-9 100-02-7 119-90-4 123-31-9 60-11-7 95-80-7 88-06-2
#> [1,] 1.2445 1.4985 0.84285 6.7105 0.30055 2.2450 3.4785 3.3765
#> [2,] 1.6280 1.9545 1.17400 7.3715 0.39220 2.7920 3.8750 4.4375
#> [3,] 2.2435 2.5475 1.44250 8.6155 0.53005 3.6225 4.6450 6.2555
#> 92-87-5 101-77-9 53-96-3 72-43-5 56-38-2
#> [1,] 1.0200 1.3740 3.187 4.7235 2.6265
#> [2,] 1.2380 1.6265 3.648 5.8290 3.2970
#> [3,] 1.5575 2.1620 4.755 7.8175 4.3650
#>
#> $age[[2]]
#> 87-86-5 95-95-4 133-06-2 101-14-4 63-25-2 510-15-6 106-50-3 91-94-1
#> [1,] 4.3915 4.7355 1.7015 0.16175 0.073885 0.089035 0.27315 0.1245
#> [2,] 9.7745 10.6150 3.7720 0.34805 0.189200 0.211900 0.66345 0.2928
#> 84-74-2 120-80-9 100-02-7 119-90-4 123-31-9 60-11-7 95-80-7 88-06-2
#> [1,] 0.97755 1.1135 0.68195 5.3505 0.20900 1.6395 2.781 2.6675
#> [2,] 2.24350 2.5475 1.44250 8.6155 0.53005 3.6225 4.645 6.2555
#> 92-87-5 101-77-9 53-96-3 72-43-5 56-38-2
#> [1,] 0.7936 1.023 2.194 3.9780 1.9685
#> [2,] 1.5575 2.162 4.755 7.8175 4.3650
#>
#>
#> $params
#> $params[[1]]
#> 87-86-5 95-95-4 133-06-2 101-14-4 63-25-2 510-15-6 106-50-3 91-94-1
#> [1,] 3.720 25.9000 4.800 0.07592 0.29870 0.23420 0.7295 0.14230
#> [2,] 2.488 0.8094 22.560 0.23280 0.05003 0.02254 0.2919 0.07566
#> [3,] 4.384 1.6220 1.325 0.12190 0.08474 0.06052 1.0870 0.11880
#> 84-74-2 120-80-9 100-02-7 119-90-4 123-31-9 60-11-7 95-80-7 88-06-2
#> [1,] 1.680 1.089 4.5530 21.360 0.3849 1.5030 2.979 20.780
#> [2,] 1.974 1.475 1.1020 1.717 0.3452 0.5761 2.150 1.355
#> [3,] 1.212 1.341 0.9264 11.510 0.2517 7.2560 2.450 2.109
#> 92-87-5 101-77-9 53-96-3 72-43-5 56-38-2
#> [1,] 0.7866 0.3238 2.186 0.9258 0.8813
#> [2,] 1.3160 1.0380 3.410 3.8810 1.5600
#> [3,] 1.0760 1.9520 4.217 5.9390 3.1460
#>
#> $params[[2]]
#> 87-86-5 95-95-4 133-06-2 101-14-4 63-25-2 510-15-6 106-50-3 91-94-1
#> [1,] 2.276 2.578 0.4497 0.4456 0.07661 0.1058 0.2782 0.1107
#> [2,] 16.200 7.308 2.9800 0.5936 1.45200 0.1064 0.6615 0.1498
#> 84-74-2 120-80-9 100-02-7 119-90-4 123-31-9 60-11-7 95-80-7 88-06-2
#> [1,] 1.4790 0.5304 0.2464 5.750 0.08054 1.703 23.150 14.06
#> [2,] 0.5934 2.4130 0.6624 3.265 0.12990 4.181 1.659 14.13
#> 92-87-5 101-77-9 53-96-3 72-43-5 56-38-2
#> [1,] 1.743 0.8955 1.574 8.728 2.302
#> [2,] 2.014 1.0190 10.580 3.001 1.525
#>
#>
#> $obesity
#> $obesity[[1]]
#> 87-86-5 95-95-4 133-06-2 101-14-4 63-25-2 510-15-6 106-50-3 91-94-1
#> [1,] 7.4820 8.6775 2.965 0.28405 0.1432 0.153750 0.5077 0.22425
#> [2,] 4.4205 4.9300 1.849 0.16290 0.0820 0.088135 0.3035 0.12915
#> [3,] 7.4820 8.6775 2.965 0.28405 0.1432 0.153750 0.5077 0.22425
#> 84-74-2 120-80-9 100-02-7 119-90-4 123-31-9 60-11-7 95-80-7 88-06-2
#> [1,] 1.726 2.0710 1.1730 7.3635 0.4089 2.9815 3.926 4.751
#> [2,] 1.037 1.2025 0.7162 5.8545 0.2387 1.7780 2.953 2.757
#> [3,] 1.726 2.0710 1.1730 7.3635 0.4089 2.9815 3.926 4.751
#> 92-87-5 101-77-9 53-96-3 72-43-5 56-38-2
#> [1,] 1.31000 1.758 3.8180 6.3620 3.6535
#> [2,] 0.80915 1.087 2.3715 3.7635 2.1955
#> [3,] 1.31000 1.758 3.8180 6.3620 3.6535
#>
#> $obesity[[2]]
#> 87-86-5 95-95-4 133-06-2 101-14-4 63-25-2 510-15-6 106-50-3 91-94-1
#> [1,] 4.4205 4.93 1.849 0.1629 0.082 0.088135 0.3035 0.12915
#> [2,] 4.4205 4.93 1.849 0.1629 0.082 0.088135 0.3035 0.12915
#> 84-74-2 120-80-9 100-02-7 119-90-4 123-31-9 60-11-7 95-80-7 88-06-2
#> [1,] 1.037 1.2025 0.7162 5.8545 0.2387 1.778 2.953 2.757
#> [2,] 1.037 1.2025 0.7162 5.8545 0.2387 1.778 2.953 2.757
#> 92-87-5 101-77-9 53-96-3 72-43-5 56-38-2
#> [1,] 0.80915 1.087 2.3715 3.7635 2.1955
#> [2,] 0.80915 1.087 2.3715 3.7635 2.1955
#>
#>
#> $other
#> $other[[1]]
#> [1] 2.588 2.588 2.588
#>
#> $other[[2]]
#> [1] 1.381 1.381
#>
#>