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
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 1.2 Index]