From 518a801a9a0f1aef36df1f201b6a3f0f3a84b779 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Sat, 18 Apr 2020 00:38:26 +0200 Subject: Avoid assignment to .GlobalEnv for CRAN --- docs/reference/get_deg_func.html | 176 +++++++++++++++++++++++++++++++++++++++ docs/reference/index.html | 6 ++ docs/reference/nlme.mmkin.html | 12 +-- 3 files changed, 188 insertions(+), 6 deletions(-) create mode 100644 docs/reference/get_deg_func.html (limited to 'docs/reference') diff --git a/docs/reference/get_deg_func.html b/docs/reference/get_deg_func.html new file mode 100644 index 00000000..c5b8e38c --- /dev/null +++ b/docs/reference/get_deg_func.html @@ -0,0 +1,176 @@ + + + + + + + + +Retrieve a degradation function from the mmkin namespace — get_deg_func • mkin + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Retrieve a degradation function from the mmkin namespace

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Retrieve a degradation function from the mmkin namespace

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get_deg_func()
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Value

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A function that was likely previously assigned from within + nlme.mmkin

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Developed by Johannes Ranke.

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Site built with pkgdown 1.4.1.

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+ + + + + + + + diff --git a/docs/reference/index.html b/docs/reference/index.html index f4de5bd8..04e3b8b9 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -296,6 +296,12 @@ of an mmkin object

nlme_function() mean_degparms() nlme_data()

Helper functions to create nlme models from mmkin row objects

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get_deg_func()

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Retrieve a degradation function from the mmkin namespace

diff --git a/docs/reference/nlme.mmkin.html b/docs/reference/nlme.mmkin.html index 9af9cbf7..33cc9164 100644 --- a/docs/reference/nlme.mmkin.html +++ b/docs/reference/nlme.mmkin.html @@ -258,7 +258,7 @@ parameters taken from the mmkin object are used

#> parent 11.96183 39.73634 #>
f_nlme <- nlme(f) print(f_nlme)
#> Nonlinear mixed-effects model fit by maximum likelihood -#> Model: value ~ deg_func(name, time, parent_0, log_k_parent_sink) +#> Model: value ~ (mkin::get_deg_func())(name, time, parent_0, log_k_parent_sink) #> Data: "Not shown" #> Log-likelihood: -307.5269 #> Fixed: list(parent_0 ~ 1, log_k_parent_sink ~ 1) @@ -276,9 +276,10 @@ parameters taken from the mmkin object are used

#> Number of Groups: 5
endpoints(f_nlme)
#> $distimes #> DT50 DT90 #> parent 17.51545 58.18505 -#>
f_nlme_2 <- nlme(f, start = c(parent_0 = 100, log_k_parent_sink = 0.1)) -update(f_nlme_2, random = parent_0 ~ 1)
#> Nonlinear mixed-effects model fit by maximum likelihood -#> Model: value ~ deg_func(name, time, parent_0, log_k_parent_sink) +#>
# \dontrun{ + f_nlme_2 <- nlme(f, start = c(parent_0 = 100, log_k_parent_sink = 0.1)) + update(f_nlme_2, random = parent_0 ~ 1)
#> Nonlinear mixed-effects model fit by maximum likelihood +#> Model: value ~ (mkin::get_deg_func())(name, time, parent_0, log_k_parent_sink) #> Data: "Not shown" #> Log-likelihood: -404.3729 #> Fixed: list(parent_0 ~ 1, log_k_parent_sink ~ 1) @@ -291,8 +292,7 @@ parameters taken from the mmkin object are used

#> StdDev: 0.002416792 21.63027 #> #> Number of Observations: 90 -#> Number of Groups: 5
# \dontrun{ - # Test on some real data +#> Number of Groups: 5
# Test on some real data ds_2 <- lapply(experimental_data_for_UBA_2019[6:10], function(x) x$data[c("name", "time", "value")]) m_sfo_sfo <- mkinmod(parent = mkinsub("SFO", "A1"), -- cgit v1.2.1