metaplot.surv {survcomp} | R Documentation

## Meta-analysis plot (forest plot)

### Description

Plot confidence intervals with boxes indicating the sample size/precision and optionally a diamond indicating a summary confidence interval. This function is usually called by `plot` methods for meta-analysis objects. Additional, you can specifiy your own lower and upper boarder from the confidence interval.

### Usage

    metaplot.surv(mn, se=NULL, lower=NULL, upper=NULL, nn=NULL,
        labels=NULL, conf.level = .95, xlab = "", ylab = "", xlim = NULL,
        summn = NULL, sumse = NULL, sumlower = NULL, sumupper = NULL,
        sumnn = NULL, summlabel = "Summary", logeffect = FALSE,
        lwd = 2, boxsize = 1, zero = as.numeric(logeffect),
        colors, xaxt="s", logticks=TRUE, ... )

### Arguments

`mn` | point estimates from studies
`se` | standard errors of `mn`
`lower` | Vector of lower ends of confidence intervals
`upper` | Vector of upper ends of confidence intervals
`nn` | precision: box ares is proportional to this. `1/se^2` is the default
`labels` | labels for each interval
`conf.level` | Confidence level for confidence intervals
`xlab` | label for the point estimate axis
`ylab` | label for the axis indexing the different studies
`xlim` | the range for the x axis.
`summn` | summary estimate
`sumse` | standard error of summary estimate
`sumlower` | lower end of confidence intervals of summary estimate
`sumupper` | upper end of confidence intervals of summary estimate
`sumnn` | precision of summary estimate
`summlabel` | label for summary estimate
`logeffect` | `TRUE` to display on a log scale
`lwd` | line width
`boxsize` | Scale factor for box size
`zero` | "Null" effect value
`xaxt` | use `"n"` for no x-axis (to add a customised one)
`logticks` | if `TRUE` and `logscale`, have tick values approximately equally spaced on a log scale

.

`colors` | see `meta.colors`
`...` | Other graphical parameters

### Value

This function is used for its side-effect.

### See Also

`forestplot.surv` for more flexible plots

### Examples

    metaplot.surv(mn=c(0.4,0.5,0.6), lower=c(0.35,0.4,0.57), upper=c(0.45,0.6,0.63),
    labels=c("A","B","C"), xlim=c(0.2,0.8), boxsize=0.5, zero=0.5,
    col=rmeta::meta.colors(box="royalblue",line="darkblue",zero="firebrick"))

[Package survcomp version 1.42.0 Index]