Description Usage Arguments Value Note Examples

Standardize the given data matrix per column, over the rows, with multiple imputation for missing data.

1 | ```
pre_process(DATA, weight)
``` |

`DATA` |
A data matrix |

`weight` |
Whether the data matrix is weighted. |

a standardized matrix

Weighting a data matrix (i.e., `weight = TRUE`

) is performed as follows. Each cell in the data is devided by the sqaure root of the number of variables.

More details regarding data pre-processing, please see:

Van Deun, K., Smilde, A.K., van der Werf, M.J., Kiers, H.A.L., & Mechelen, I.V. (2009). A structured overview of simultaneous component based data integration. *BMC Bioinformatics*, 10:246.

The missing values are handled by means of Multivariate Imputation by Chained Equations (MICE). The number of multiple imputation is 5. More details see:

Buuren, S. V., & Groothuis-Oudshoorn, K. (2010). mice: Multivariate imputation by chained equations in R. *Journal of statistical software*, 1-68.

1 2 3 4 | ```
## Not run:
pre_process(matrix(1:12, nrow = 3, ncol = 4))
## End(Not run)
``` |

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