R: A data frame for multivariate imputation

YWC.data {pan} | R Documentation

## A data frame for multivariate imputation

### Description

The data serves as an worked example for PAN as follows,.

    head(YWC.data)
    Yi.Matrix <- as.matrix(YWC.data[,4:39])
    Subj.vector <- as.vector(as.matrix(YWC.data[,2]))
    YWC.data$intercept <- 1.
    Pred.Matrix <- as.matrix(YWC.data[,c(40,3)])
    xcol <- 1:2
    zcol <- 1
    a.parameter = ncol(Yi.Matrix)
    Binv.parameter = diag(a.parameter*a.parameter)
    c.parameter = (zcol*ncol(Yi.Matrix))
    Dinv.parameter = diag(c.parameter*c.parameter)
    Prior.Distribution <- list(a = a.parameter,
                               Binv = Binv.parameter,
                               c = c.parameter,
                               Dinv = Dinv.parameter)
    Imputation.Result <- pan(Yi.Matrix, Subj.vector, Pred.Matrix, xcol, zcol, Prior.Distribution, seed=44896, iter=1000)

### Usage

    data(YWC.data)

### Format

A data frame

### Source

Steven J. Pierce

[Package pan version 1.6 Index]