GetMaximumDValueFromTwoByTwoContingencyTable: get maximum D value from two-by-two contingency table

In CausalR: Causal network analysis methods

Description

Computes the maximum D value (or weight) given approximate values of n++, n+-, n-+ and n–. These values are approximate and in general are non-integer values; they are found by using an approximation detailed in the paper Assessing statistical significance in causal graphs on page 6 i.e. n_ab is approximately equal to q_a*n_b/t where a and b are either +, - or 0. The value is an approximation since the direction in which the number should be rounded is not clear and hence this function runs through all possible combinations of rounding before concluding the maximum D-value.

Usage

GetMaximumDValueFromTwoByTwoContingencyTable(twoByTwoContingencyTable,
  predictionListStats, experimentalDataStats,
  logOfFactorialOfPredictionListStats, returnlog = FALSE)

Arguments

twoByTwoContingencyTable	approximate values of n++, n+-, n-+ and n–, these values arecalculated to optimise the D-value
predictionListStats	a vector containing the values q+, q- and q0 the number of positive/negative/non-significant (or contradictory) predictions)
experimentalDataStats	a vector containing the values n+, n- and n0 (the number of positive/negative/non-significant (or contradictory) transcripts in the results)
logOfFactorialOfPredictionListStats	a vector containing the log of the factorial value for each entry in predictionListStats
returnlog	whether or not he value should be returned as a log (TRUE) or not (FALSE)

Value

the maximal D-value

References

L Chindelevitch et al. Assessing statistical significance in causal graphs. BMC Bioinformatics, 13(35), 2012.

CausalR documentation built on Nov. 8, 2020, 5:25 p.m.