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]]
#> 100-02-7 101-14-4 101-77-9 119-90-4 120-80-9 123-31-9 133-06-2 51-28-5
#> [1,] 0.97155 0.22695 1.3000 7.0115 1.4020 0.29070 2.1865 115.20
#> [2,] 1.19200 0.26170 1.6020 7.3330 1.9675 0.37445 2.7410 134.05
#> [3,] 1.57650 0.32895 2.0525 9.0755 2.7680 0.53645 3.8135 158.40
#> 510-15-6 53-96-3 56-38-2 60-11-7 63-25-2 72-43-5 84-74-2 87-86-5 88-06-2
#> [1,] 0.12195 2.9560 4.1375 2.2505 0.13680 4.6045 1.2480 1.6330 3.7475
#> [2,] 0.14295 3.5485 5.2695 2.7000 0.18190 5.9545 1.6265 2.2385 4.5155
#> [3,] 0.19755 4.7305 7.1695 4.0020 0.22545 7.6990 2.3585 2.8580 5.9575
#> 91-94-1 92-87-5 95-80-7 95-95-4
#> [1,] 0.16620 0.9798 3.4250 6.8665
#> [2,] 0.21995 1.2320 3.7445 8.4465
#> [3,] 0.27775 1.5465 4.4495 10.2700
#>
#> $age[[2]]
#> 100-02-7 101-14-4 101-77-9 119-90-4 120-80-9 123-31-9 133-06-2 51-28-5
#> [1,] 0.7077 0.15945 0.99965 5.2580 1.1285 0.21640 1.6310 94.345
#> [2,] 1.5765 0.32895 2.05250 9.0755 2.7680 0.53645 3.8135 158.400
#> 510-15-6 53-96-3 56-38-2 60-11-7 63-25-2 72-43-5 84-74-2 87-86-5 88-06-2
#> [1,] 0.092665 2.1605 3.4310 1.7935 0.10950 3.6775 0.9494 1.1665 2.9020
#> [2,] 0.197550 4.7305 7.1695 4.0020 0.22545 7.6990 2.3585 2.8580 5.9575
#> 91-94-1 92-87-5 95-80-7 95-95-4
#> [1,] 0.12925 0.76965 2.7530 4.841
#> [2,] 0.27775 1.54650 4.4495 10.270
#>
#>
#> $params
#> $params[[1]]
#> 100-02-7 101-14-4 101-77-9 119-90-4 120-80-9 123-31-9 133-06-2 51-28-5
#> [1,] 0.8238 0.06124 0.7793 6.609 1.010 0.3979 1.444 356.9
#> [2,] 1.1260 0.95920 2.3660 7.605 5.117 1.8530 3.150 178.1
#> [3,] 1.8370 0.10470 0.8396 10.430 2.435 0.1510 1.795 1399.0
#> 510-15-6 53-96-3 56-38-2 60-11-7 63-25-2 72-43-5 84-74-2 87-86-5 88-06-2
#> [1,] 0.11000 1.165 1.431 0.7901 0.5539 5.357 1.1010 0.4393 1.4390
#> [2,] 0.09643 2.633 31.360 1.4420 0.2334 6.828 0.4868 1.3520 0.8864
#> [3,] 0.42460 19.880 6.326 1.0920 0.0756 9.009 0.5308 1.3640 5.2510
#> 91-94-1 92-87-5 95-80-7 95-95-4
#> [1,] 0.2404 0.5090 2.229 2.146
#> [2,] 0.1858 2.8220 3.052 3.751
#> [3,] 0.2685 0.6775 2.209 7.199
#>
#> $params[[2]]
#> 100-02-7 101-14-4 101-77-9 119-90-4 120-80-9 123-31-9 133-06-2 51-28-5
#> [1,] 1.0500 0.1408 0.6762 5.061 0.8233 0.15170 1.422 1173.0
#> [2,] 0.1945 0.1785 1.1770 9.531 0.8725 0.09678 2.590 111.7
#> 510-15-6 53-96-3 56-38-2 60-11-7 63-25-2 72-43-5 84-74-2 87-86-5 88-06-2
#> [1,] 0.1233 1.951 3.254 1.948 0.09279 13.480 0.7282 1.446 1.763
#> [2,] 0.3452 1.946 2.976 1.568 0.04178 3.347 1.4100 1.130 4.769
#> 91-94-1 92-87-5 95-80-7 95-95-4
#> [1,] 0.8614 3.5780 3.430 2.032
#> [2,] 0.1345 0.6172 4.645 7.406
#>
#>
#> $obesity
#> $obesity[[1]]
#> 100-02-7 101-14-4 101-77-9 119-90-4 120-80-9 123-31-9 133-06-2 51-28-5
#> [1,] 1.2430 0.28505 1.684 7.569 2.0180 0.40890 2.8845 132.45
#> [2,] 0.7438 0.16940 1.066 5.776 1.2325 0.23815 1.8485 102.65
#> [3,] 1.2430 0.28505 1.684 7.569 2.0180 0.40890 2.8845 132.45
#> 510-15-6 53-96-3 56-38-2 60-11-7 63-25-2 72-43-5 84-74-2 87-86-5 88-06-2
#> [1,] 0.152300 3.7560 5.587 3.0365 0.1912 6.3135 1.745 2.216 5.0340
#> [2,] 0.094245 2.2785 3.183 1.7825 0.1137 3.7345 1.027 1.345 2.9985
#> [3,] 0.152300 3.7560 5.587 3.0365 0.1912 6.3135 1.745 2.216 5.0340
#> 91-94-1 92-87-5 95-80-7 95-95-4
#> [1,] 0.22455 1.29000 3.8955 8.603
#> [2,] 0.13370 0.82155 2.9980 5.597
#> [3,] 0.22455 1.29000 3.8955 8.603
#>
#> $obesity[[2]]
#> 100-02-7 101-14-4 101-77-9 119-90-4 120-80-9 123-31-9 133-06-2 51-28-5
#> [1,] 0.7438 0.1694 1.066 5.776 1.2325 0.23815 1.8485 102.65
#> [2,] 0.7438 0.1694 1.066 5.776 1.2325 0.23815 1.8485 102.65
#> 510-15-6 53-96-3 56-38-2 60-11-7 63-25-2 72-43-5 84-74-2 87-86-5 88-06-2
#> [1,] 0.094245 2.2785 3.183 1.7825 0.1137 3.7345 1.027 1.345 2.9985
#> [2,] 0.094245 2.2785 3.183 1.7825 0.1137 3.7345 1.027 1.345 2.9985
#> 91-94-1 92-87-5 95-80-7 95-95-4
#> [1,] 0.1337 0.82155 2.998 5.597
#> [2,] 0.1337 0.82155 2.998 5.597
#>
#>
#> $other
#> $other[[1]]
#> [1] 2.802 2.802 2.802
#>
#> $other[[2]]
#> [1] 1.663 1.663
#>
#>