From 606ef9ad6cae0ddfae6db6b90deb03f81140e46f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 10 Nov 2020 05:14:57 +0100 Subject: Digits for summary methods, print.saem.mmkin --- docs/dev/reference/nlme.mmkin.html | 35 +++++++++++++++++++---------------- 1 file changed, 19 insertions(+), 16 deletions(-) (limited to 'docs/dev/reference/nlme.mmkin.html') diff --git a/docs/dev/reference/nlme.mmkin.html b/docs/dev/reference/nlme.mmkin.html index defef75d..05edbde5 100644 --- a/docs/dev/reference/nlme.mmkin.html +++ b/docs/dev/reference/nlme.mmkin.html @@ -170,7 +170,7 @@ have been obtained by fitting the same model to a list of datasets.

) # S3 method for nlme.mmkin -print(x, ...) +print(x, digits = max(3, getOption("digits") - 3), ...) # S3 method for nlme.mmkin update(object, ...) @@ -241,6 +241,10 @@ parameters taken from the mmkin object are used

x

An nlme.mmkin object to print

+ + digits +

Number of digits to use for printing

+ ...

Update specifications passed to update.nlme

@@ -262,8 +266,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as nlme::intervals(), nlme::anova.lme() and nlme::coef.lme().

See also

-

nlme_function(), plot.mixed.mmkin, summary.nlme.mmkin, -parms.nlme.mmkin

+

nlme_function(), plot.mixed.mmkin, summary.nlme.mmkin

Examples

ds <- lapply(experimental_data_for_UBA_2019[6:10],
@@ -290,15 +293,15 @@ parms.nlme.mmkin

 #> 
 #> Fixed effects:
 #>  list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) 
-#>    parent_0      log_k1      log_k2    g_qlogis 
-#> 94.17015185 -1.80015278 -4.14738834  0.03239833 
+#> parent_0   log_k1   log_k2 g_qlogis 
+#>  94.1702  -1.8002  -4.1474   0.0324 
 #> 
 #> Random effects:
 #>  Formula: list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)
 #>  Level: ds
 #>  Structure: Diagonal
-#>         parent_0    log_k1  log_k2  g_qlogis Residual
-#> StdDev: 2.488249 0.8447275 1.32965 0.4651789 2.321364
+#>         parent_0 log_k1 log_k2 g_qlogis Residual
+#> StdDev:    2.488 0.8447   1.33   0.4652    2.321
 #> 
plot(f_nlme_dfop)
 
endpoints(f_nlme_dfop)
 
#> $distimes
@@ -321,12 +324,12 @@ parms.nlme.mmkin

 #> Fixed effects:
 #>  list(parent_0 ~ 1, log_k_parent ~ 1) 
 #>     parent_0 log_k_parent 
-#>    75.933480    -3.555983 
+#>       75.933       -3.556 
 #> 
 #> Random effects:
 #>  Formula: parent_0 ~ 1 | ds
-#>            parent_0 Residual
-#> StdDev: 0.002416792 21.63027
+#>         parent_0 Residual
+#> StdDev: 0.002417    21.63
 #> 
  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"),
@@ -427,15 +430,15 @@ parms.nlme.mmkin

 #> 
 #> Fixed effects:
 #>  list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) 
-#>    parent_0      log_k1      log_k2    g_qlogis 
-#> 94.04774566 -1.82339808 -4.16715311  0.05685186 
+#> parent_0   log_k1   log_k2 g_qlogis 
+#> 94.04775 -1.82340 -4.16715  0.05685 
 #> 
 #> Random effects:
 #>  Formula: list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)
 #>  Level: ds
 #>  Structure: Diagonal
-#>         parent_0    log_k1   log_k2  g_qlogis Residual
-#> StdDev: 2.473881 0.8499884 1.337185 0.4659005        1
+#>         parent_0 log_k1 log_k2 g_qlogis Residual
+#> StdDev:    2.474   0.85  1.337   0.4659        1
 #> 
 #> Variance function:
 #>  Structure: Constant plus proportion of variance covariate
@@ -462,14 +465,14 @@ parms.nlme.mmkin

 #> Fixed effects:
 #>  list(parent_0 ~ 1, log_k_parent_sink ~ 1, log_k_parent_A1 ~ 1,      log_k_A1_sink ~ 1) 
 #>          parent_0 log_k_parent_sink   log_k_parent_A1     log_k_A1_sink 
-#>         87.975536         -3.669816         -4.164127         -4.645073 
+#>            87.976            -3.670            -4.164            -4.645 
 #> 
 #> Random effects:
 #>  Formula: list(parent_0 ~ 1, log_k_parent_sink ~ 1, log_k_parent_A1 ~ 1,      log_k_A1_sink ~ 1)
 #>  Level: ds
 #>  Structure: Diagonal
 #>         parent_0 log_k_parent_sink log_k_parent_A1 log_k_A1_sink Residual
-#> StdDev: 3.992214           1.77702        1.054733     0.4821383 6.482585
+#> StdDev:    3.992             1.777           1.055        0.4821    6.483
 #> 
 #> Variance function:
 #>  Structure: Different standard deviations per stratum
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