From a5874ab7fce4616e80be69366ff0685332f47bf1 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 27 Oct 2020 15:34:14 +0100 Subject: Add summary method for nlme.mmkin objects Improve and update docs --- docs/dev/reference/plot.nlme.mmkin.html | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) (limited to 'docs/dev/reference/plot.nlme.mmkin.html') diff --git a/docs/dev/reference/plot.nlme.mmkin.html b/docs/dev/reference/plot.nlme.mmkin.html index afd9d8d0..267bef05 100644 --- a/docs/dev/reference/plot.nlme.mmkin.html +++ b/docs/dev/reference/plot.nlme.mmkin.html @@ -214,6 +214,14 @@ predicted values?

Maximum absolute value of the residuals. This is used for the scaling of the y axis and defaults to "auto".

+ + ncol.legend +

Number of columns to use in the legend

+ + + nrow.legend +

Number of rows to use in the legend

+ rel.height.legend

The relative height of the legend shown on top

@@ -259,7 +267,8 @@ corresponding model prediction lines for the different datasets.

names(ds) <- paste0("ds ", 6:10) dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"), A1 = mkinsub("SFO"), quiet = TRUE) -f <- mmkin(list("DFOP-SFO" = dfop_sfo), ds, quiet = TRUE, cores = 1) +# \dontrun{ +f <- mmkin(list("DFOP-SFO" = dfop_sfo), ds, quiet = TRUE) plot(f[, 3:4], standardized = TRUE)
library(nlme) @@ -267,7 +276,8 @@ corresponding model prediction lines for the different datasets.

# tolerance in order to speed up the fit for this example evaluation f_nlme <- nlme(f, control = list(pnlsMaxIter = 120, tolerance = 1e-3)) plot(f_nlme) -
+
# } +