correct.zscore.signs {OmicsQC}

Corrects the z-scores signs according to the metrics

Description

For some metrics a high z-score is good, while for others a low one is good. This function corrects for that so that a negative z-score is a poor score for every metric. It then sets all positive scores to zero.

Usage

correct.zscore.signs(
  zscores,
  signs.data,
  metric.col.name = "Metric",
  signs.col.name = "Sign",
  filename = NULL
)

Arguments

zscores

A dataframe whose rows are samples and each column a QC metric, entries are z-scores

signs.data

A dataframe of two columns, the metric names and the sign of the metric

metric.col.name

The name of the column in signs.data that stores the metric name

signs.col.name

The name of the column in signs.data that stores sign as 'neg' or 'pos'

filename

A filename where to save data. If NULL data will not be saved to file

Value

A dataframe whose rows are the QC metrics, and columns are samples with the z-scores if they are negative