A method which lists values below 0 or beyond 1 contained in the input matrix. The wrong entries are stored in a data.frame together with the corresponding row and column position of the matrix. Note that this method is especially designed for DNA methylation data.
any matrix filled with values that normally should be bounded between 0 and 1.
Note that this method is especially designed to run after the batch effect
correction of DNA methylation data, e.g. with the
It can happen, that the predicted values are lying slightly below the lower
bound of 0 or beyond the upper bound of 1. This method finds these inaccurately
predicted entries. Another method called
replaces these values either by 0 or 1, respectively.
A data frame containing the columns "level", "row", "col" and "value" defining if the wrong value is below 0 or beyond 1 (level = 0 or level = 1), the row position and the column position in the input matrix and the wrong value itself, respectively.
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