R: Effect-size plot

ESplot {gap} | R Documentation

## Effect-size plot

### Description

The function accepts parameter estimates and their standard errors for a range of models.

### Usage

    ESplot(ESdat,SE=TRUE,logscale=TRUE,alpha=0.05,xlim=c(-2,8),v=1,...)

### Arguments

`ESdat` | A data frame consisting of model id, parameter estimates and standard errors or confidence limits
`SE` | If TRUE, the third column of ESdata contains the standard error estimates
`logscale` | If TRUE, indicates log-scale as appropriate for odds ratio
`alpha` | Type-I error rate used to construct 100(1-alpha) confidence interval
`xlim` | Lower and upper limits of the horizontal axis, roughly corresponding to confidence limits
`...` | Other options for `plot`
`v` | Location of the vertical line

### Author(s)

Jing Hua Zhao

### Examples

    ## Not run:
    # 7-4-2008 MRC-Epid JHZ
    options(stringsAsFactors=FALSE)
    testdata <- data.frame(models=c("Basic model","Adjusted","Moderately adjusted",
                          "Heavily adjusted","Other"),
    OR = c(4.5,3.5,2.5,1.5,1),
    SElogOR = c(0.2,0.1,0.5,0.5,0.2))
    ESplot(testdata,v=1)
    title("This is a fictitious plot")
    #
    # Quantitative trait, as appropriate for linear regression
    # testdata <- data.frame(modelid, beta, se(beta))
    # ESplot(testdata, logscale=FALSE)
    #
    # Other scenarios
    # OR with CI
    # ESplot(testdata,SE=FALSE)

    ## End(Not run)

[Package gap version 1.2.2 Index]