From af7c6de4db9981ac814362c441fbac22c8faa2d7 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 24 Nov 2022 09:02:26 +0100 Subject: Start online docs of the development version --- docs/dev/reference/mccall81_245T.html | 306 +++++++++++++++------------------- 1 file changed, 133 insertions(+), 173 deletions(-) (limited to 'docs/dev/reference/mccall81_245T.html') diff --git a/docs/dev/reference/mccall81_245T.html b/docs/dev/reference/mccall81_245T.html index f79137be..26173c65 100644 --- a/docs/dev/reference/mccall81_245T.html +++ b/docs/dev/reference/mccall81_245T.html @@ -1,69 +1,14 @@ - - - - - - - -Datasets on aerobic soil metabolism of 2,4,5-T in six soils — mccall81_245T • mkin - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Datasets on aerobic soil metabolism of 2,4,5-T in six soils — mccall81_245T • mkin - - - - - - - - - - - - - + + -
-
- -
- -
+
-
mccall81_245T
- - -

Format

+
+
mccall81_245T
+
-

A dataframe containing the following variables.

-
name

the name of the compound observed. Note that T245 is used as +

+

Format

+

A dataframe containing the following variables.

name
+

the name of the compound observed. Note that T245 is used as an acronym for 2,4,5-T. T245 is a legitimate object name in R, which is necessary for specifying models using - mkinmod.

-
time

a numeric vector containing sampling times in days after + mkinmod.

+ +
time
+

a numeric vector containing sampling times in days after treatment

-
value

a numeric vector containing concentrations in percent of applied radioactivity

-
soil

a factor containing the name of the soil

- -
-

Source

+
value
+

a numeric vector containing concentrations in percent of applied radioactivity

+ +
soil
+

a factor containing the name of the soil

+ +
+
+

Source

McCall P, Vrona SA, Kelley SS (1981) Fate of uniformly carbon-14 ring labelled 2,4,5-Trichlorophenoxyacetic acid and 2,4-dichlorophenoxyacetic acid. J Agric Chem 29, 100-107 - doi: 10.1021/jf00103a026

+ doi:10.1021/jf00103a026

+
-

Examples

-
SFO_SFO_SFO <- mkinmod(T245 = list(type = "SFO", to = "phenol"), - phenol = list(type = "SFO", to = "anisole"), - anisole = list(type = "SFO")) -
#> Temporary DLL for differentials generated and loaded
# \dontrun{ - fit.1 <- mkinfit(SFO_SFO_SFO, subset(mccall81_245T, soil == "Commerce"), quiet = TRUE) -
#> Warning: Observations with value of zero were removed from the data
summary(fit.1)$bpar -
#> Estimate se_notrans t value Pr(>t) -#> T245_0 1.038550e+02 2.1847074945 47.537272 4.472189e-18 -#> k_T245 4.337042e-02 0.0018983965 22.845818 2.276911e-13 -#> k_phenol 4.050581e-01 0.2986993563 1.356073 9.756989e-02 -#> k_anisole 6.678742e-03 0.0008021439 8.326114 2.623177e-07 -#> f_T245_to_phenol 6.227599e-01 0.3985340558 1.562627 6.949413e-02 -#> f_phenol_to_anisole 1.000000e+00 0.6718439825 1.488441 7.867789e-02 -#> sigma 2.514628e+00 0.4907558883 5.123989 6.233157e-05 -#> Lower Upper -#> T245_0 99.246061385 1.084640e+02 -#> k_T245 0.039631621 4.746194e-02 -#> k_phenol 0.218013879 7.525762e-01 -#> k_anisole 0.005370739 8.305299e-03 -#> f_T245_to_phenol 0.547559081 6.924813e-01 -#> f_phenol_to_anisole 0.000000000 1.000000e+00 -#> sigma 1.706607296 3.322649e+00
endpoints(fit.1) -
#> $ff -#> T245_phenol T245_sink phenol_anisole phenol_sink -#> 6.227599e-01 3.772401e-01 1.000000e+00 3.773626e-10 -#> -#> $distimes -#> DT50 DT90 -#> T245 15.982025 53.09114 -#> phenol 1.711229 5.68458 -#> anisole 103.784093 344.76329 -#>
# formation fraction from phenol to anisol is practically 1. As we cannot - # fix formation fractions when using the ilr transformation, we can turn of - # the sink in the model generation - SFO_SFO_SFO_2 <- mkinmod(T245 = list(type = "SFO", to = "phenol"), - phenol = list(type = "SFO", to = "anisole", sink = FALSE), - anisole = list(type = "SFO")) -
#> Temporary DLL for differentials generated and loaded
fit.2 <- mkinfit(SFO_SFO_SFO_2, subset(mccall81_245T, soil == "Commerce"), - quiet = TRUE) -
#> Warning: Observations with value of zero were removed from the data
summary(fit.2)$bpar -
#> Estimate se_notrans t value Pr(>t) Lower -#> T245_0 1.038550e+02 2.1623653066 48.028439 4.993108e-19 99.271020284 -#> k_T245 4.337042e-02 0.0018343666 23.643268 3.573556e-14 0.039650976 -#> k_phenol 4.050582e-01 0.1177237473 3.440752 1.679254e-03 0.218746587 -#> k_anisole 6.678742e-03 0.0006829745 9.778903 1.872894e-08 0.005377083 -#> f_T245_to_phenol 6.227599e-01 0.0342197875 18.198824 2.039411e-12 0.547975637 -#> sigma 2.514628e+00 0.3790944250 6.633250 2.875782e-06 1.710983655 -#> Upper -#> T245_0 108.43904074 -#> k_T245 0.04743877 -#> k_phenol 0.75005585 -#> k_anisole 0.00829550 -#> f_T245_to_phenol 0.69212308 -#> sigma 3.31827222
endpoints(fit.1) -
#> $ff -#> T245_phenol T245_sink phenol_anisole phenol_sink -#> 6.227599e-01 3.772401e-01 1.000000e+00 3.773626e-10 -#> -#> $distimes -#> DT50 DT90 -#> T245 15.982025 53.09114 -#> phenol 1.711229 5.68458 -#> anisole 103.784093 344.76329 -#>
plot_sep(fit.2) -
# } -
+
+

Examples

+
  SFO_SFO_SFO <- mkinmod(T245 = list(type = "SFO", to = "phenol"),
+    phenol = list(type = "SFO", to = "anisole"),
+    anisole = list(type = "SFO"))
+#> Temporary DLL for differentials generated and loaded
+  # \dontrun{
+    fit.1 <- mkinfit(SFO_SFO_SFO, subset(mccall81_245T, soil == "Commerce"), quiet = TRUE)
+#> Warning: Observations with value of zero were removed from the data
+    summary(fit.1)$bpar
+#>                         Estimate   se_notrans   t value       Pr(>t)
+#> T245_0              1.038550e+02 2.1847074945 47.537272 4.472189e-18
+#> k_T245              4.337042e-02 0.0018983965 22.845818 2.276911e-13
+#> k_phenol            4.050581e-01 0.2986993563  1.356073 9.756989e-02
+#> k_anisole           6.678742e-03 0.0008021439  8.326114 2.623177e-07
+#> f_T245_to_phenol    6.227599e-01 0.3985340558  1.562627 6.949413e-02
+#> f_phenol_to_anisole 1.000000e+00 0.6718439825  1.488441 7.867789e-02
+#> sigma               2.514628e+00 0.4907558883  5.123989 6.233157e-05
+#>                            Lower        Upper
+#> T245_0              99.246061385 1.084640e+02
+#> k_T245               0.039631621 4.746194e-02
+#> k_phenol             0.218013879 7.525762e-01
+#> k_anisole            0.005370739 8.305299e-03
+#> f_T245_to_phenol     0.547559081 6.924813e-01
+#> f_phenol_to_anisole  0.000000000 1.000000e+00
+#> sigma                1.706607296 3.322649e+00
+    endpoints(fit.1)
+#> $ff
+#>    T245_phenol      T245_sink phenol_anisole    phenol_sink 
+#>   6.227599e-01   3.772401e-01   1.000000e+00   3.773626e-10 
+#> 
+#> $distimes
+#>               DT50      DT90
+#> T245     15.982025  53.09114
+#> phenol    1.711229   5.68458
+#> anisole 103.784093 344.76329
+#> 
+    # formation fraction from phenol to anisol is practically 1. As we cannot
+    # fix formation fractions when using the ilr transformation, we can turn of
+    # the sink in the model generation
+    SFO_SFO_SFO_2 <- mkinmod(T245 = list(type = "SFO", to = "phenol"),
+      phenol = list(type = "SFO", to = "anisole", sink = FALSE),
+      anisole = list(type = "SFO"))
+#> Temporary DLL for differentials generated and loaded
+    fit.2 <- mkinfit(SFO_SFO_SFO_2, subset(mccall81_245T, soil == "Commerce"),
+      quiet = TRUE)
+#> Warning: Observations with value of zero were removed from the data
+    summary(fit.2)$bpar
+#>                      Estimate   se_notrans   t value       Pr(>t)        Lower
+#> T245_0           1.038550e+02 2.1623653066 48.028439 4.993108e-19 99.271020284
+#> k_T245           4.337042e-02 0.0018343666 23.643268 3.573556e-14  0.039650976
+#> k_phenol         4.050582e-01 0.1177237473  3.440752 1.679254e-03  0.218746587
+#> k_anisole        6.678742e-03 0.0006829745  9.778903 1.872894e-08  0.005377083
+#> f_T245_to_phenol 6.227599e-01 0.0342197875 18.198824 2.039411e-12  0.547975637
+#> sigma            2.514628e+00 0.3790944250  6.633250 2.875782e-06  1.710983655
+#>                         Upper
+#> T245_0           108.43904074
+#> k_T245             0.04743877
+#> k_phenol           0.75005585
+#> k_anisole          0.00829550
+#> f_T245_to_phenol   0.69212308
+#> sigma              3.31827222
+    endpoints(fit.1)
+#> $ff
+#>    T245_phenol      T245_sink phenol_anisole    phenol_sink 
+#>   6.227599e-01   3.772401e-01   1.000000e+00   3.773626e-10 
+#> 
+#> $distimes
+#>               DT50      DT90
+#> T245     15.982025  53.09114
+#> phenol    1.711229   5.68458
+#> anisole 103.784093 344.76329
+#> 
+    plot_sep(fit.2)
+
+  # }
+
+
+
- - - + + -- cgit v1.2.1