plot.sci {MCPAN} | R Documentation |
Creates a high level plot of confidence intervals from objects returned by functions binomRDci, binomORci, poly3ci. Plot function for objects of class "sci".
## S3 method for class 'sci': plot(x, line = 0, linelty = 2, linelwd = 1, linecol = "black", CIvert = FALSE, CIlty = 1, CIlwd = 1, ...) ## S3 method for class 'binomRDci': plot(x,...) ## S3 method for class 'poly3ci': plot(x,...) ## S3 method for class 'binomORci': plot(x, ...)
x |
an object of class "sci", "binomRDci", "poly3ci", as can be obtained by calling binomRDci ,poly3ci |
line |
as single numeric value or vector, position of line(s) to be added orthogonal to the plotted CI |
linelty |
line type(s) for line as defined in par |
linelwd |
line width(s) for line as defined in par |
linecol |
colour(s) for line as defined in par |
CIvert |
logical value, specifying whether confidence intervals shall be represented by vertical (if TRUE) or horizontal (if FALSE) lines |
CIlty |
single value, line type for confidence intervals as defined in par |
CIlwd |
single value, line type for confidence intervals as defined in par |
... |
parameters to be passed to plot.default , as documented in
plot.default , plot , or par |
Currently, the plot
parameters ylim, xlim, las, axes, type, pch
and the axis
parameters labels, las
are chosen internally by the function
and can not be set by the user.
Currently, combining several plots via par("mfrow")
or layout
in one device is not possible.
A plot.
Frank Schaarschmidt
# An example with three dose groups # compared to Placebo, binomial response: resp<-c(2,8,6,13) trials<-c(34,33,36,34) names(resp)<-c("Placebo", "50", "75", "150") ci<-binomRDci(x=resp, n=trials, type="Dunnett", method="ADD1") plot(ci, line=c(0,0.1,0.2),linelty=c(1,2,3))