forestplot.surv {survcomp} | R Documentation

## Forest plots enables to display performance estimates of survival models

### 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 `NA`s for blank spaces
`mean` | Vector of centers of confidence intervals (or `NA`s 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 <tlumley@u.washington.edu>. 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))

[Package survcomp version 1.38.0 Index]