DataLab is a compact statistics package aimed at exploratory data analysis. Please visit the DataLab Web site for more information.... 
Home Features of DataLab Tools Data Imputation  


Data Imputation
DataLab provides a few simple algorithms to fill up missing values. The missing data can be imputed either columnwise or rowwise by the following methods:
In addition, normally distributed random numbers can be added to the imputed values by the ticking the "Add Gaussian Noise" box off. The level of the noise can be set by the "Amplitude" control, which specifies the noise level as a multiple of the standard deviation of the known values of a particular column/row. If you want to undo the last imputation, you may click the "Oops" button which resets the empty states of the cells to the previous state. The "reset" button can be used to set all imputed values of the entire matrix to the "empty" state. The imputed data are indicated in the numeric data editor by a colored background:

