summary.imp {BaBooN}R Documentation

Summary method for objects of class ‘imp’

Description

Returns some information about the incomplete data set and the imputation process.

Usage

## S3 method for class 'imp'
summary(object,...)

Arguments

object

Either with BBPMM or BBPMM.row generated object.

...

Arguments to be passed to or from other functions.

Details

Returns information about the percentage of missing data as well as about the imputation variant, the number of (multiple) imputations and the number of iterations between two imputations.

Author(s)

Florian Meinfelder

See Also

BBPMM, BBPMM.row

Examples

### sample data set with non-normal variables and two different
### missingness patterns
n <- 50
x1 <- round(runif(n,0.5,3.5))
x2 <- as.factor(c(rep(1,10),rep(2,25),rep(3,15)))
x3 <- round(rnorm(n,0,3))
y1 <- round(x1-0.25*(x2==2)+0.5*x3+rnorm(n,0,1))
y1 <- ifelse(y1<1,1,y1)
y1 <- as.factor(ifelse(y1>4,5,y1))
y2 <- x1+rnorm(n,0,0.5)
y3 <- round(x3+rnorm(n,0,2))
data1 <- as.data.frame(cbind(x1,x2,x3,y1,y2,y3))
misrow1 <- sample(n,20)
misrow2 <- sample(n,15)
misrow3 <- sample(n,10)
is.na(data1[misrow1, 4]) <- TRUE
is.na(data1[misrow2, 5]) <- TRUE
is.na(data1[misrow2, 6]) <- TRUE

### imputation
imputed.data <- BBPMM(data1, nIter=5, M=5)
summary(imputed.data)

[Package BaBooN version 0.2-0 Index]