Lists model equations, initial parameter values, optimised parameters for fixed effects (population), random effects (deviations from the population mean) and residual error model, as well as the resulting endpoints such as formation fractions and DT50 values. Optionally (default is FALSE), the data are listed in full.
an object of class saem.mmkin
logical, indicating whether the full data should be included in the summary.
Should the summary be verbose?
logical, indicating whether DT50 and DT90 values should be included.
optional arguments passed to methods like print.
an object of class summary.saem.mmkin
Number of digits to use for printing
The summary function returns a list based on the saemix::SaemixObject
obtained in the fit, with at least the following additional components
The saemix, mkin and R versions used
The dates where the fit and the summary were produced
The differential equations used in the degradation model
Was maximum or minimum use made of formation fractions
The data
Transformed parameters as used in the optimisation, with confidence intervals
Backtransformed parameters, with confidence intervals if available
Error model parameters with confidence intervals
The estimated formation fractions derived from the fitted model.
The DT50 and DT90 values for each observed variable.
If applicable, eigenvalues of SFORB components of the model.
The print method is called for its side effect, i.e. printing the summary.
# Generate five datasets following DFOP-SFO kinetics
sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "m1"),
m1 = mkinsub("SFO"), quiet = TRUE)
set.seed(1234)
k1_in <- rlnorm(5, log(0.1), 0.3)
k2_in <- rlnorm(5, log(0.02), 0.3)
g_in <- plogis(rnorm(5, qlogis(0.5), 0.3))
f_parent_to_m1_in <- plogis(rnorm(5, qlogis(0.3), 0.3))
k_m1_in <- rlnorm(5, log(0.02), 0.3)
pred_dfop_sfo <- function(k1, k2, g, f_parent_to_m1, k_m1) {
mkinpredict(dfop_sfo,
c(k1 = k1, k2 = k2, g = g, f_parent_to_m1 = f_parent_to_m1, k_m1 = k_m1),
c(parent = 100, m1 = 0),
sampling_times)
}
ds_mean_dfop_sfo <- lapply(1:5, function(i) {
mkinpredict(dfop_sfo,
c(k1 = k1_in[i], k2 = k2_in[i], g = g_in[i],
f_parent_to_m1 = f_parent_to_m1_in[i], k_m1 = k_m1_in[i]),
c(parent = 100, m1 = 0),
sampling_times)
})
names(ds_mean_dfop_sfo) <- paste("ds", 1:5)
ds_syn_dfop_sfo <- lapply(ds_mean_dfop_sfo, function(ds) {
add_err(ds,
sdfunc = function(value) sqrt(1^2 + value^2 * 0.07^2),
n = 1)[[1]]
})
# \dontrun{
# Evaluate using mmkin and saem
f_mmkin_dfop_sfo <- mmkin(list(dfop_sfo), ds_syn_dfop_sfo,
quiet = TRUE, error_model = "tc", cores = 5)
f_saem_dfop_sfo <- saem(f_mmkin_dfop_sfo)
print(f_saem_dfop_sfo)
#> Kinetic nonlinear mixed-effects model fit by SAEM
#> Structural model:
#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
#> time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
#> * parent
#> d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
#> * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
#> exp(-k2 * time))) * parent - k_m1 * m1
#>
#> Data:
#> 171 observations of 2 variable(s) grouped in 5 datasets
#>
#> Likelihood computed by importance sampling
#> AIC BIC logLik
#> 828.1 822.7 -400.1
#>
#> Fitted parameters:
#> estimate lower upper
#> parent_0 100.74378 97.81291 103.67465
#> log_k_m1 -4.06168 -4.17104 -3.95231
#> f_parent_qlogis -0.92584 -1.31273 -0.53894
#> log_k1 -2.81914 -3.60206 -2.03623
#> log_k2 -3.63916 -4.32672 -2.95161
#> g_qlogis -0.02927 -1.15247 1.09394
#> a.1 0.86164 0.67928 1.04400
#> b.1 0.07973 0.06437 0.09509
#> SD.parent_0 0.73313 -7.46512 8.93137
#> SD.log_k_m1 0.06488 -0.06041 0.19017
#> SD.f_parent_qlogis 0.41955 0.15206 0.68705
#> SD.log_k1 0.81750 0.29140 1.34361
#> SD.log_k2 0.75265 0.27939 1.22590
#> SD.g_qlogis 0.34411 -1.70964 2.39786
illparms(f_saem_dfop_sfo)
#> [1] "sd(parent_0)" "sd(log_k_m1)" "sd(g_qlogis)"
f_saem_dfop_sfo_2 <- update(f_saem_dfop_sfo, covariance.model = diag(c(0, 0, 1, 1, 1, 0)))
illparms(f_saem_dfop_sfo_2)
#> character(0)
intervals(f_saem_dfop_sfo_2)
#> Approximate 95% confidence intervals
#>
#> Fixed effects:
#> lower est. upper
#> parent_0 97.54844979 100.46239264 103.37633550
#> k_m1 0.01575805 0.01729111 0.01897331
#> f_parent_to_m1 0.21014925 0.28626877 0.37680664
#> k1 0.02651112 0.05601399 0.11834908
#> k2 0.01326524 0.02649799 0.05293107
#> g 0.31467778 0.51297098 0.70726363
#>
#> Random effects:
#> lower est. upper
#> sd(f_parent_qlogis) 0.1658367 0.4471180 0.7283993
#> sd(log_k1) 0.2768757 0.7929203 1.3089649
#> sd(log_k2) 0.2693629 0.7566116 1.2438602
#>
#>
#> lower est. upper
#> a.1 0.70273100 0.88750764 1.07228428
#> b.1 0.06781347 0.08328016 0.09874685
summary(f_saem_dfop_sfo_2, data = TRUE)
#> saemix version used for fitting: 3.1
#> mkin version used for pre-fitting: 1.1.2
#> R version used for fitting: 4.2.1
#> Date of fit: Wed Aug 10 15:28:15 2022
#> Date of summary: Wed Aug 10 15:28:15 2022
#>
#> Equations:
#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
#> time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
#> * parent
#> d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
#> * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
#> exp(-k2 * time))) * parent - k_m1 * m1
#>
#> Data:
#> 171 observations of 2 variable(s) grouped in 5 datasets
#>
#> Model predictions using solution type analytical
#>
#> Fitted in 27.674 s
#> Using 300, 100 iterations and 10 chains
#>
#> Variance model: Two-component variance function
#>
#> Mean of starting values for individual parameters:
#> parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2
#> 101.65645 -4.05368 -0.94311 -2.35943 -4.07006
#> g_qlogis
#> -0.01132
#>
#> Fixed degradation parameter values:
#> None
#>
#> Results:
#>
#> Likelihood computed by importance sampling
#> AIC BIC logLik
#> 825.6 821.3 -401.8
#>
#> Optimised parameters:
#> est. lower upper
#> parent_0 100.4624 97.5484 103.3763
#> log_k_m1 -4.0576 -4.1504 -3.9647
#> f_parent_qlogis -0.9136 -1.3240 -0.5031
#> log_k1 -2.8822 -3.6302 -2.1341
#> log_k2 -3.6307 -4.3226 -2.9388
#> g_qlogis 0.0519 -0.7783 0.8821
#>
#> Correlation:
#> parnt_0 lg_k_m1 f_prnt_ log_k1 log_k2
#> log_k_m1 -0.4102
#> f_parent_qlogis -0.2113 0.2439
#> log_k1 0.1308 -0.1305 -0.0504
#> log_k2 -0.0383 0.0592 0.0151 0.0001
#> g_qlogis -0.0029 -0.0118 0.0131 -0.2547 -0.1942
#>
#> Random effects:
#> est. lower upper
#> SD.f_parent_qlogis 0.4471 0.1658 0.7284
#> SD.log_k1 0.7929 0.2769 1.3090
#> SD.log_k2 0.7566 0.2694 1.2439
#>
#> Variance model:
#> est. lower upper
#> a.1 0.88751 0.70273 1.07228
#> b.1 0.08328 0.06781 0.09875
#>
#> Backtransformed parameters:
#> est. lower upper
#> parent_0 100.46239 97.54845 103.37634
#> k_m1 0.01729 0.01576 0.01897
#> f_parent_to_m1 0.28627 0.21015 0.37681
#> k1 0.05601 0.02651 0.11835
#> k2 0.02650 0.01327 0.05293
#> g 0.51297 0.31468 0.70726
#>
#> Resulting formation fractions:
#> ff
#> parent_m1 0.2863
#> parent_sink 0.7137
#>
#> Estimated disappearance times:
#> DT50 DT90 DT50back DT50_k1 DT50_k2
#> parent 17.44 65.15 19.61 12.37 26.16
#> m1 40.09 133.17 NA NA NA
#>
#> Data:
#> ds name time observed predicted residual std standardized
#> ds 1 parent 0 89.8 1.005e+02 -10.662393 8.4135 -1.267301
#> ds 1 parent 0 104.1 1.005e+02 3.637607 8.4135 0.432355
#> ds 1 parent 1 88.7 9.576e+01 -7.063498 8.0244 -0.880249
#> ds 1 parent 1 95.5 9.576e+01 -0.263498 8.0244 -0.032837
#> ds 1 parent 3 81.8 8.717e+01 -5.369491 7.3135 -0.734185
#> ds 1 parent 3 94.5 8.717e+01 7.330509 7.3135 1.002320
#> ds 1 parent 7 71.5 7.274e+01 -1.238672 6.1224 -0.202319
#> ds 1 parent 7 70.3 7.274e+01 -2.438672 6.1224 -0.398322
#> ds 1 parent 14 54.2 5.418e+01 0.022691 4.5984 0.004935
#> ds 1 parent 14 49.6 5.418e+01 -4.577309 4.5984 -0.995423
#> ds 1 parent 28 31.5 3.241e+01 -0.914545 2.8416 -0.321837
#> ds 1 parent 28 28.8 3.241e+01 -3.614545 2.8416 -1.271993
#> ds 1 parent 60 12.1 1.283e+01 -0.730904 1.3891 -0.526186
#> ds 1 parent 60 13.6 1.283e+01 0.769096 1.3891 0.553681
#> ds 1 parent 90 6.2 6.128e+00 0.071981 1.0238 0.070309
#> ds 1 parent 90 8.3 6.128e+00 2.171981 1.0238 2.121538
#> ds 1 parent 120 2.2 3.022e+00 -0.822164 0.9225 -0.891230
#> ds 1 parent 120 2.4 3.022e+00 -0.622164 0.9225 -0.674429
#> ds 1 m1 1 0.3 1.163e+00 -0.863423 0.8928 -0.967116
#> ds 1 m1 1 0.2 1.163e+00 -0.963423 0.8928 -1.079126
#> ds 1 m1 3 2.2 3.233e+00 -1.032930 0.9274 -1.113734
#> ds 1 m1 3 3.0 3.233e+00 -0.232930 0.9274 -0.251152
#> ds 1 m1 7 6.5 6.495e+00 0.005314 1.0393 0.005113
#> ds 1 m1 7 5.0 6.495e+00 -1.494686 1.0393 -1.438116
#> ds 1 m1 14 10.2 1.010e+01 0.096372 1.2230 0.078801
#> ds 1 m1 14 9.5 1.010e+01 -0.603628 1.2230 -0.493572
#> ds 1 m1 28 12.2 1.269e+01 -0.492073 1.3802 -0.356526
#> ds 1 m1 28 13.4 1.269e+01 0.707927 1.3802 0.512922
#> ds 1 m1 60 11.8 1.086e+01 0.944360 1.2669 0.745420
#> ds 1 m1 60 13.2 1.086e+01 2.344360 1.2669 1.850494
#> ds 1 m1 90 6.6 7.723e+00 -1.123088 1.0961 -1.024658
#> ds 1 m1 90 9.3 7.723e+00 1.576912 1.0961 1.438708
#> ds 1 m1 120 3.5 5.184e+00 -1.683936 0.9869 -1.706219
#> ds 1 m1 120 5.4 5.184e+00 0.216064 0.9869 0.218923
#> ds 2 parent 0 118.0 1.005e+02 17.537607 8.4135 2.084469
#> ds 2 parent 0 99.8 1.005e+02 -0.662393 8.4135 -0.078730
#> ds 2 parent 1 90.2 9.566e+01 -5.456414 8.0156 -0.680727
#> ds 2 parent 1 94.6 9.566e+01 -1.056414 8.0156 -0.131795
#> ds 2 parent 3 96.1 8.702e+01 9.082833 7.3009 1.244062
#> ds 2 parent 3 78.4 8.702e+01 -8.617167 7.3009 -1.180281
#> ds 2 parent 7 77.9 7.298e+01 4.919834 6.1423 0.800981
#> ds 2 parent 7 77.7 7.298e+01 4.719834 6.1423 0.768420
#> ds 2 parent 14 56.0 5.588e+01 0.124003 4.7372 0.026176
#> ds 2 parent 14 54.7 5.588e+01 -1.175997 4.7372 -0.248245
#> ds 2 parent 28 36.6 3.719e+01 -0.587869 3.2217 -0.182474
#> ds 2 parent 28 36.8 3.719e+01 -0.387869 3.2217 -0.120394
#> ds 2 parent 60 22.1 2.013e+01 1.973728 1.8966 1.040673
#> ds 2 parent 60 24.7 2.013e+01 4.573728 1.8966 2.411556
#> ds 2 parent 90 12.4 1.259e+01 -0.185933 1.3734 -0.135379
#> ds 2 parent 90 10.8 1.259e+01 -1.785933 1.3734 -1.300347
#> ds 2 parent 120 6.8 7.981e+00 -1.180542 1.1088 -1.064723
#> ds 2 parent 120 7.9 7.981e+00 -0.080542 1.1088 -0.072640
#> ds 2 m1 1 1.3 1.306e+00 -0.006246 0.8941 -0.006986
#> ds 2 m1 3 3.7 3.589e+00 0.110879 0.9365 0.118399
#> ds 2 m1 3 4.7 3.589e+00 1.110879 0.9365 1.186217
#> ds 2 m1 7 8.1 7.062e+00 1.038045 1.0647 0.974978
#> ds 2 m1 7 7.9 7.062e+00 0.838045 1.0647 0.787129
#> ds 2 m1 14 10.1 1.065e+01 -0.553713 1.2549 -0.441227
#> ds 2 m1 14 10.3 1.065e+01 -0.353713 1.2549 -0.281857
#> ds 2 m1 28 10.7 1.284e+01 -2.144854 1.3900 -1.543111
#> ds 2 m1 28 12.2 1.284e+01 -0.644854 1.3900 -0.463939
#> ds 2 m1 60 10.7 1.082e+01 -0.115278 1.2645 -0.091165
#> ds 2 m1 60 12.5 1.082e+01 1.684722 1.2645 1.332337
#> ds 2 m1 90 9.1 8.014e+00 1.085607 1.1105 0.977610
#> ds 2 m1 90 7.4 8.014e+00 -0.614393 1.1105 -0.553272
#> ds 2 m1 120 6.1 5.736e+00 0.363593 1.0079 0.360737
#> ds 2 m1 120 4.5 5.736e+00 -1.236407 1.0079 -1.226697
#> ds 3 parent 0 106.2 1.005e+02 5.737607 8.4135 0.681955
#> ds 3 parent 0 106.9 1.005e+02 6.437607 8.4135 0.765155
#> ds 3 parent 1 107.4 9.343e+01 13.972212 7.8311 1.784188
#> ds 3 parent 1 96.1 9.343e+01 2.672212 7.8311 0.341229
#> ds 3 parent 3 79.4 8.160e+01 -2.196297 6.8531 -0.320484
#> ds 3 parent 3 82.6 8.160e+01 1.003703 6.8531 0.146460
#> ds 3 parent 7 63.9 6.464e+01 -0.737220 5.4557 -0.135129
#> ds 3 parent 7 62.4 6.464e+01 -2.237220 5.4557 -0.410072
#> ds 3 parent 14 51.0 4.772e+01 3.278433 4.0722 0.805086
#> ds 3 parent 14 47.1 4.772e+01 -0.621567 4.0722 -0.152638
#> ds 3 parent 28 36.1 3.303e+01 3.070676 2.8903 1.062400
#> ds 3 parent 28 36.6 3.303e+01 3.570676 2.8903 1.235391
#> ds 3 parent 60 20.1 1.929e+01 0.808039 1.8355 0.440235
#> ds 3 parent 60 19.8 1.929e+01 0.508039 1.8355 0.276789
#> ds 3 parent 90 11.3 1.209e+01 -0.794443 1.3425 -0.591785
#> ds 3 parent 90 10.7 1.209e+01 -1.394443 1.3425 -1.038728
#> ds 3 parent 120 8.2 7.590e+00 0.610002 1.0896 0.559843
#> ds 3 parent 120 7.3 7.590e+00 -0.289998 1.0896 -0.266152
#> ds 3 m1 0 0.8 -4.263e-14 0.800000 0.8875 0.901401
#> ds 3 m1 1 1.8 1.692e+00 0.107665 0.8986 0.119811
#> ds 3 m1 1 2.3 1.692e+00 0.607665 0.8986 0.676214
#> ds 3 m1 3 4.2 4.455e+00 -0.255347 0.9619 -0.265449
#> ds 3 m1 3 4.1 4.455e+00 -0.355347 0.9619 -0.369404
#> ds 3 m1 7 6.8 8.124e+00 -1.324338 1.1160 -1.186685
#> ds 3 m1 7 10.1 8.124e+00 1.975662 1.1160 1.770309
#> ds 3 m1 14 11.4 1.104e+01 0.361860 1.2778 0.283196
#> ds 3 m1 14 12.8 1.104e+01 1.761860 1.2778 1.378852
#> ds 3 m1 28 11.5 1.177e+01 -0.272554 1.3225 -0.206097
#> ds 3 m1 28 10.6 1.177e+01 -1.172554 1.3225 -0.886648
#> ds 3 m1 60 7.5 9.242e+00 -1.741667 1.1747 -1.482591
#> ds 3 m1 60 8.6 9.242e+00 -0.641667 1.1747 -0.546218
#> ds 3 m1 90 7.3 6.837e+00 0.463318 1.0544 0.439398
#> ds 3 m1 90 8.1 6.837e+00 1.263318 1.0544 1.198095
#> ds 3 m1 120 5.3 4.906e+00 0.394322 0.9770 0.403595
#> ds 3 m1 120 3.8 4.906e+00 -1.105678 0.9770 -1.131677
#> ds 4 parent 0 104.7 1.005e+02 4.237607 8.4135 0.503670
#> ds 4 parent 0 88.3 1.005e+02 -12.162393 8.4135 -1.445587
#> ds 4 parent 1 94.2 9.723e+01 -3.029220 8.1458 -0.371877
#> ds 4 parent 1 94.6 9.723e+01 -2.629220 8.1458 -0.322772
#> ds 4 parent 3 78.1 9.114e+01 -13.041804 7.6420 -1.706592
#> ds 4 parent 3 96.5 9.114e+01 5.358196 7.6420 0.701150
#> ds 4 parent 7 76.2 8.033e+01 -4.133084 6.7488 -0.612421
#> ds 4 parent 7 77.8 8.033e+01 -2.533084 6.7488 -0.375340
#> ds 4 parent 14 70.8 6.504e+01 5.757987 5.4889 1.049017
#> ds 4 parent 14 67.3 6.504e+01 2.257987 5.4889 0.411371
#> ds 4 parent 28 43.1 4.418e+01 -1.080806 3.7849 -0.285557
#> ds 4 parent 28 45.1 4.418e+01 0.919194 3.7849 0.242858
#> ds 4 parent 60 21.3 2.110e+01 0.200596 1.9686 0.101899
#> ds 4 parent 60 23.5 2.110e+01 2.400596 1.9686 1.219459
#> ds 4 parent 90 11.8 1.183e+01 -0.034206 1.3263 -0.025791
#> ds 4 parent 90 12.1 1.183e+01 0.265794 1.3263 0.200408
#> ds 4 parent 120 7.0 6.985e+00 0.014647 1.0612 0.013803
#> ds 4 parent 120 6.2 6.985e+00 -0.785353 1.0612 -0.740078
#> ds 4 m1 0 1.6 -1.705e-13 1.600000 0.8875 1.802801
#> ds 4 m1 1 0.9 6.803e-01 0.219655 0.8893 0.246994
#> ds 4 m1 3 3.7 1.927e+00 1.773027 0.9019 1.965880
#> ds 4 m1 3 2.0 1.927e+00 0.073027 0.9019 0.080970
#> ds 4 m1 7 3.6 4.013e+00 -0.412926 0.9483 -0.435417
#> ds 4 m1 7 3.8 4.013e+00 -0.212926 0.9483 -0.224523
#> ds 4 m1 14 7.1 6.604e+00 0.495843 1.0441 0.474896
#> ds 4 m1 14 6.6 6.604e+00 -0.004157 1.0441 -0.003981
#> ds 4 m1 28 9.5 9.077e+00 0.422700 1.1658 0.362576
#> ds 4 m1 28 9.3 9.077e+00 0.222700 1.1658 0.191024
#> ds 4 m1 60 8.3 8.818e+00 -0.518498 1.1520 -0.450099
#> ds 4 m1 60 9.0 8.818e+00 0.181502 1.1520 0.157559
#> ds 4 m1 90 6.6 6.738e+00 -0.137785 1.0500 -0.131222
#> ds 4 m1 90 7.7 6.738e+00 0.962215 1.0500 0.916383
#> ds 4 m1 120 3.7 4.794e+00 -1.093754 0.9732 -1.123914
#> ds 4 m1 120 3.5 4.794e+00 -1.293754 0.9732 -1.329429
#> ds 5 parent 0 110.4 1.005e+02 9.937607 8.4135 1.181155
#> ds 5 parent 0 112.1 1.005e+02 11.637607 8.4135 1.383212
#> ds 5 parent 1 93.5 9.372e+01 -0.215694 7.8550 -0.027460
#> ds 5 parent 1 91.0 9.372e+01 -2.715694 7.8550 -0.345730
#> ds 5 parent 3 71.0 8.226e+01 -11.257156 6.9076 -1.629667
#> ds 5 parent 3 89.7 8.226e+01 7.442844 6.9076 1.077480
#> ds 5 parent 7 60.4 6.553e+01 -5.128464 5.5289 -0.927571
#> ds 5 parent 7 59.1 6.553e+01 -6.428464 5.5289 -1.162699
#> ds 5 parent 14 56.5 4.835e+01 8.146351 4.1235 1.975572
#> ds 5 parent 14 47.0 4.835e+01 -1.353649 4.1235 -0.328273
#> ds 5 parent 28 30.2 3.300e+01 -2.803303 2.8883 -0.970586
#> ds 5 parent 28 23.9 3.300e+01 -9.103303 2.8883 -3.151832
#> ds 5 parent 60 17.0 1.891e+01 -1.905909 1.8074 -1.054506
#> ds 5 parent 60 18.7 1.891e+01 -0.205909 1.8074 -0.113926
#> ds 5 parent 90 11.3 1.172e+01 -0.423434 1.3194 -0.320923
#> ds 5 parent 90 11.9 1.172e+01 0.176566 1.3194 0.133820
#> ds 5 parent 120 9.0 7.281e+00 1.719138 1.0749 1.599402
#> ds 5 parent 120 8.1 7.281e+00 0.819138 1.0749 0.762086
#> ds 5 m1 0 0.7 -2.842e-13 0.700000 0.8875 0.788726
#> ds 5 m1 1 3.0 3.252e+00 -0.252227 0.9279 -0.271821
#> ds 5 m1 1 2.6 3.252e+00 -0.652227 0.9279 -0.702895
#> ds 5 m1 3 5.1 8.615e+00 -3.515326 1.1413 -3.080237
#> ds 5 m1 3 7.5 8.615e+00 -1.115326 1.1413 -0.977283
#> ds 5 m1 7 16.5 1.588e+01 0.619041 1.5928 0.388661
#> ds 5 m1 7 19.0 1.588e+01 3.119041 1.5928 1.958272
#> ds 5 m1 14 22.9 2.189e+01 1.014705 2.0272 0.500543
#> ds 5 m1 14 23.2 2.189e+01 1.314705 2.0272 0.648529
#> ds 5 m1 28 22.2 2.369e+01 -1.487604 2.1632 -0.687701
#> ds 5 m1 28 24.4 2.369e+01 0.712396 2.1632 0.329332
#> ds 5 m1 60 15.5 1.869e+01 -3.193942 1.7920 -1.782295
#> ds 5 m1 60 19.8 1.869e+01 1.106058 1.7920 0.617206
#> ds 5 m1 90 14.9 1.380e+01 1.103454 1.4518 0.760041
#> ds 5 m1 90 14.2 1.380e+01 0.403454 1.4518 0.277892
#> ds 5 m1 120 10.9 9.864e+00 1.035963 1.2093 0.856637
#> ds 5 m1 120 10.4 9.864e+00 0.535963 1.2093 0.443187
# }