If the borders are smaller than the upper/lower limits then clip the graph. The line will have arrows indicating that it continues beyond the graph The zero bar has to be on the chart though!
prFpXrange(upper, lower, clip, zero, xticks, xlog)The upper bound of the confidence interval for the forestplot, needs to be the same format as the mean, i.e. matrix/vector of equal columns \& length
The lower bound of the confidence interval for the forestplot, needs to be the same format as the mean, i.e. matrix/vector of equal columns & length
Lower and upper limits for clipping confidence intervals to arrows
x-axis coordinate for zero line. If you provide a vector of length 2 it will print a rectangle instead of just a line. If you provide NA the line is supressed.
Optional user-specified x-axis tick marks. Specify NULL to use
the defaults, numeric(0) to omit the x-axis. By adding a labels-attribute,
attr(my_ticks, "labels") <- ... you can dictate the outputted text
at each tick. If you specify a boolean vector then ticks indicated with
FALSE wont be printed. Note that the labels have to be the same length
as the main variable.
If TRUE, x-axis tick marks are to follow a logarithmic scale, e.g. for
logistic regressoin (OR), survival estimates (HR), Poisson regression etc.
Note: This is an intentional break with the original forestplot
function as I've found that exponentiated ticks/clips/zero effect are more
difficult to for non-statisticians and there are sometimes issues with rounding
the tick marks properly.
vector Contains a min and max value