forestplot.surv: Forest plots enables to display performance estimates of...

In bhklab/survcomp: Performance Assessment and Comparison for Survival Analysis

Description

Draw a forest plot together with a table of text.

Usage

forestplot.surv(labeltext, mean, lower, upper, align = NULL,
is.summary = FALSE, clip = c(-Inf, Inf), xlab = "", zero = 0,
graphwidth = unit(2, "inches"), col, xlog = FALSE,
box.size = NULL, x.ticks = NULL, ...)

Arguments

labeltext	Matrix of strings or NAs for blank spaces
mean	Vector of centers of confidence intervals (or NAs for blank space)
lower	Vector of lower ends of confidence intervals
upper	Vector of upper ends of confidence intervals
align	Vector giving alignment (l,r,c) for columns of table
is.summary	Vector of logicals. Summary lines have bold text and diamond confidence intervals.
clip	Lower and upper limits for clipping confidence intervals to arrows
xlab	x-axis label
zero	x-axis coordinate for zero line
graphwidth	Width of confidence interval graph
col	See meta.colors
xlog	If TRUE, x-axis tick marks are exponentiated
box.size	Override the default box size based on precision
x.ticks	Optional user-specified x-axis tick marks. Specify NULL to use the defaults, numeric(0) to omit the x-axis.
...	Not used.

Details

This function is more flexible than metaplot and the plot methods for meta-analysis objects, but requires more work by the user.

In particular, it allows for a table of text, and clips confidence intervals to arrows when they exceed specified limits.

Value

None

References

rmeta package, CRAN, Thomas Lumley <[e-mail]>. Functions for simple fixed and random effects meta-analysis for two-sample comparisons and cumulative meta-analyses. Draws standard summary plots, funnel plots, and computes summaries and tests for association and heterogeneity.

See Also

metaplot, forestplot

Examples

require(rmeta)
myspace <- "    "
labeltext <- cbind(c("Gene Symbol", "AAA", "BBB", "CCC"),c(rep(myspace,4)))
bs <- rep(0.5, nrow(labeltext))
r.mean <- c(NA, 0.35, 0.5, 0.65)
r.lower <- c(NA, 0.33, 0.4, 0.6)
r.upper <- c(NA, 0.37, 0.6, 0.7)

forestplot.surv(labeltext=labeltext, mean=r.mean, lower=r.lower, upper=r.upper,
zero=0.5, align=c("l"), graphwidth=grid::unit(2, "inches"), x.ticks=seq(0.3,0.8,0.1),
xlab=paste( "Forestplot Example", myspace, sep=""), col=meta.colors(box="royalblue",
line="darkblue", zero="darkred"), box.size=bs, clip=c(0.3,0.8))

bhklab/survcomp documentation built on Dec. 26, 2021, 6:41 a.m.