View source: R/autoplot.multisimsum.R
autoplot.multisimsum | R Documentation |
autoplot
can produce a series of plot to summarise results of simulation studies. See vignette("C-plotting", package = "rsimsum")
for further details.
## S3 method for class 'multisimsum' autoplot( object, par, type = "forest", stats = "nsim", target = NULL, fitted = TRUE, scales = "fixed", top = TRUE, density.legend = TRUE, zoom = 1, ... )
object |
An object of class |
par |
The parameter results to plot. |
type |
The type of the plot to be produced. Possible choices are: |
stats |
Summary statistic to plot, defaults to |
target |
Target of summary statistic, e.g. 0 for |
fitted |
Superimpose a fitted regression line, useful when |
scales |
Should scales be fixed ( |
top |
Should the legend for a nested loop plot be on the top side of the plot? Defaults to |
density.legend |
Should the legend for density and hexbin plots be included? Defaults to |
zoom |
A numeric value between 0 and 1 signalling that a zip plot should zoom on the top x% of the plot (to ease interpretation). Defaults to 1, where the whole zip plot is displayed. |
... |
Not used. |
A ggplot
object.
data("frailty", package = "rsimsum") ms <- multisimsum( data = frailty, par = "par", true = c(trt = -0.50, fv = 0.75), estvarname = "b", se = "se", methodvar = "model", by = "fv_dist", x = TRUE ) library(ggplot2) autoplot(ms, par = "trt") autoplot(ms, par = "trt", type = "lolly", stats = "cover") autoplot(ms, par = "trt", type = "zip") autoplot(ms, par = "trt", type = "est_ba")
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