plot.bootstrap_f2 {disprofas} | R Documentation |
Plot of the bootstrap f2 simulation
Description
This is a method for the function plot()
for objects of class
‘bootstrap_f2
’.
Usage
## S3 method for class 'bootstrap_f2'
plot(x, ...)
Arguments
x |
An object of class ‘ |
... |
Further arguments passed to or from other methods or arguments
that can be passed down to the |
Details
The element Boot
of the ‘bootstrap_f2
’ object
that is returned by the function bootstrap_f2()
is an object
of class ‘boot
’, generated by the function
boot()
from the ‘boot
’ package. Thus, the
corresponding plot
method is used. Arguments to the
plot.boot()
function can be passed via the ...
parameter. In addition to making the plot the function prints the result of
Shah's lower 90% BCa confidence interval to the console.
Value
The ‘bootstrap_f2
’ object passed to the x
parameter is returned invisibly.
See Also
bootstrap_f2
, boot
,
plot.boot
, methods
.
Examples
# Bootstrap assessment of data (two groups) by aid of bootstrap_f2() function
# by using 'rand_mode = "complete"' (the default, randomisation of complete
# profiles)
bs1 <- bootstrap_f2(data = dip2[dip2$batch %in% c("b0", "b4"), ],
tcol = 5:8, grouping = "batch", rand_mode = "complete",
rr = 200, new_seed = 421, use_ema = "no")
## Not run:
pbs1 <- plot(bs1)
# The plot() function returns the 'plot_mztia' object invisibly.
class(bs1)
class(pbs1)
## End(Not run)
# Use of 'rand_mode = "individual"' (randomisation per time point)
bs2 <- bootstrap_f2(data = dip2[dip2$batch %in% c("b0", "b4"), ],
tcol = 5:8, grouping = "batch", rand_mode = "individual",
rr = 200, new_seed = 421, use_ema = "no")
## Not run:
plot(bs2)
## End(Not run)