| plot.sci.ratio | R Documentation | 
Plot the intervals returned by sci.ratio
## S3 method for class 'sci.ratio'
plot(x, rho0 = 1, rho0lty=2, rho0lwd=1, rho0col="black",
 CIvert = FALSE, CIlty = 1, CIlwd = 1, CIcex = 1, CIpch=16,
 main = NULL, ylab = NULL, xlab = NULL, sub = NULL, length=NULL,
 sortby=NULL, decreasing=NULL, ...)
x | 
 an object of class "sci.ratio" as can be obtained by calling the function sci.ratio  | 
rho0 | 
 a single numeric value or vector of values defining the hypothesized ratio  | 
rho0lty | 
 integer values to specify the line type for the rho0 line(s)  | 
rho0lwd | 
 integer values to specify the line width for the rho0 line(s)  | 
rho0col | 
 character vector to specify the colour for the rho0 line(s)  | 
CIvert | 
 logical, CI are plotted horizontal if CIvert=FALSE and vertical otherwise  | 
CIlty | 
 numeric value, giving the line type of the plotted confidence interval, see argument lty in ?par  | 
CIlwd | 
 numeric value, giving the line width of the plotted confidence interval, see argument lwd in ?par  | 
CIcex | 
 a single numeric value: by which amount the symbols in the CI shall be scaled relative to the default (see argument cex in ?par)  | 
CIpch | 
 the symbol to be used for the point estimate, see pch in ?points  | 
main | 
 character string to be plotted as main title of the plot  | 
ylab | 
 character string, label of the y axis (ignored if CIvert=TRUE)  | 
xlab | 
 character string, label of the x axis (ignored if CIvert=FALSE)  | 
sub | 
 as in plot  | 
length | 
 a numeric value, specifying the length/2 of the bars at the ends of the confidence intervals in inches  | 
sortby | 
 a character string, one of "estimate", "lower, or "upper"; if specified, the results are ordered by magnitude of estimates, lower or upper limits  | 
decreasing | 
  logical, to be passed to   | 
... | 
  further arguments to be passed to   | 
Too long names of the contrasts/comparisons should be avoided, otherwise use par() to change plot parameters.
A plot of the confidence intervals in the sci.ratio object.
Frank Schaarschmidt
plot.hmtest(multcomp)
library(mratios)
data(angina)
aCI<-sci.ratio(response~dose, data=angina, type="Dunnett",
 alternative="greater")
# Visualize testing for superiority
plot(aCI, rho0=1.25, rho0lty=3)
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