View source: R/plot.delayedGSD.R
plot.delayedGSD | R Documentation |
Display boundaries over information
## S3 method for class 'delayedGSD'
plot(
x,
y,
type = "Z",
Itype = "rate",
planned = NULL,
predicted = TRUE,
main = NULL,
xlim = NULL,
ylim = NULL,
legend = TRUE,
legend.x = NULL,
legend.ncol = 1,
legend.cex = 1,
add.arrow = FALSE,
sep.arrow = c(0.2, 0.1),
size.arrow = 0.1,
lwd.arrow = 1,
cex.bound = 1.2,
cex.estimate = 1.2,
...
)
x |
object from CalcBoundaries |
y |
not used. For compatibility with the generic method. |
type |
type of boundaries to plot (Z-statistic (Z), p-value (P), effect (E)) |
Itype |
information scale on x-axis (rate or absolute (abs)) |
planned |
[logical] should the planned boundaries be displayed along with the boundaries that have been computed based on the data.
Can also be |
predicted |
[logical] Should the predicted information/boundaries at decision based on interim data be output (when relevant). |
main |
to specify a plot title |
xlim |
range of the x axis |
ylim |
range of the y axis |
legend |
should a caption be added? |
legend.x |
location of the legend on the plot. |
legend.ncol |
number of column in the caption |
legend.cex |
character expansion factor for the text in the legend. |
add.arrow |
[logical] should arrows indicating the ordering of the space be added? |
sep.arrow |
[numeric vector of length 2] space between the critical point and the arrow (below and above) |
size.arrow |
[numeric, >0] width of the arrow. |
lwd.arrow |
[numeric, >0] thickness of the arrow. |
cex.bound |
[numeric, >0] size of the dots for the boundaries. |
cex.estimate |
[numeric vector of size 2] size of the dots for the estimated statistic/p-value/effect and its label. |
... |
not used. For compatibility with the generic method. |
bnds <- CalcBoundaries(kMax=3, InfoR.i = c(0.5,0.75,1), InfoR.d = c(0.55,0.8))
plot(bnds, type = "Z")
plot(bnds, type = "Z", add.arrow = TRUE)
plot(bnds, type = "Z", add.arrow = TRUE, lwd.arrow=2,ylim=c(0.35,2.6), xlim=c(0.5,1.1),legend=FALSE)
plot(bnds, type = "E")
plot(bnds, type = "P")
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