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author | Johannes Ranke <jranke@uni-bremen.de> | 2020-10-24 01:42:54 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2020-10-24 01:42:54 +0200 |
commit | 6ad4e443b662e8c61b1b350d3e639e821a8ff764 (patch) | |
tree | 582e8a056f38b37da5efa94a068babf628ad0c5a /man | |
parent | dd80ab5d64bc6b56587b0542dc95e965a3a25590 (diff) |
Improve plot layout
Diffstat (limited to 'man')
-rw-r--r-- | man/plot.nlme.mmkin.Rd | 15 |
1 files changed, 4 insertions, 11 deletions
diff --git a/man/plot.nlme.mmkin.Rd b/man/plot.nlme.mmkin.Rd index d1fde212..5f6e4ed3 100644 --- a/man/plot.nlme.mmkin.Rd +++ b/man/plot.nlme.mmkin.Rd @@ -7,11 +7,10 @@ \method{plot}{nlme.mmkin}( x, i = 1:ncol(x$mmkin_orig), - main = rownames(x$mmkin_orig), + main = NULL, obs_vars = names(x$mkinmod$map), standardized = TRUE, xlab = "Time", - ylab = "Observed", xlim = range(x$data$time), legends = 1, lpos = "topright", @@ -19,8 +18,7 @@ resplot = c("predicted", "time"), ymax = "auto", maxabs = "auto", - cex = 0.7, - rel.height.middle = 0.9, + rel.height.bottom = 1.1, pch_ds = 1:length(i), col_ds = pch_ds + 1, lty_ds = col_ds, @@ -45,8 +43,6 @@ variables in the model.} \item{xlab}{Label for the x axis.} -\item{ylab}{Label for the y axis.} - \item{xlim}{Plot range in x direction.} \item{legends}{An index for the fits for which legends should be shown.} @@ -65,10 +61,7 @@ predicted values?} \item{maxabs}{Maximum absolute value of the residuals. This is used for the scaling of the y axis and defaults to "auto".} -\item{cex}{Passed to the plot functions and \code{\link{mtext}}.} - -\item{rel.height.middle}{The relative height of the middle plot, if more -than two rows of plots are shown.} +\item{rel.height.bottom}{The relative height of the bottom plot row} \item{pch_ds}{Symbols to be used for plotting the data.} @@ -99,7 +92,7 @@ plot(f[, 3:4], standardized = TRUE) library(nlme) # For this fit we need to increase pnlsMaxiter, and we increase the # tolerance in order to speed up the fit for this example evaluation -f_nlme <- nlme(f, control = list(pnlsMaxIter = 120, tolerance = 1e-4)) +f_nlme <- nlme(f, control = list(pnlsMaxIter = 120, tolerance = 1e-3)) plot(f_nlme) } \author{ |