R: Estimating the proportion of MCAR values in a sample using a...

pi.mcar.probit {imp4p} | R Documentation

## Estimating the proportion of MCAR values in a sample using a probit model.

### Description

This function allows estimating the proportion of MCAR values in a sample using a probit model.

### Usage

    pi.mcar.probit(tab,conditions)

### Arguments

`tab` | A data matrix containing numeric and missing values. Each column of this matrix is assumed to correspond to an experimental sample, and each row to an identified peptide.
`conditions` | A vector of factors indicating the biological condition to which each column (experimental sample) belongs.

### Value

A list composed of:

`pi.mcar` | The estimated proportion of MCAR values.
`coef1` | The estimated intercept of each probit model estimated in a sample.
`coef2` | The estimated coefficient of each probit model estimated in a sample.

### Author(s)

Quentin Giai Gianetto <quentin2g@yahoo.fr>

### See Also

`estim.mix`

### Examples

    #Simulating data
    res.sim=sim.data(nb.pept=2000,nb.miss=600);

    #Proportion of MCAR values in each sample
    pi.mcar.probit(tab=res.sim$dat.obs, conditions=res.sim$condition);

[Package imp4p version 1.1 Index]