Description Usage Arguments Value
linear model residual differences by subtraction and continuous var (i.e. days to diagnosis)
1 2 3 |
batchAdjusted |
a matrix or data.frame output of batch adjusted residuals obtained
from linear modelling of analytical batch covariate |
obsNames |
character vector of observation (i.e. sample/ QC/ Blank) names to identify appropriate observation (sample) columns. |
resDiffId |
a character or logical vector containing the pair/ class identity of observations. This identity will be used to substract the batchAdjusted residuals. (e.g. case-control status). |
contVar |
a character/ factor/ numeric vector containing a continuous variable which will be modelled
|
minPintercept |
the minimum p value threshold for the intercept value of |
minPcontVar |
he minimum p value threshold for the continuous variable contVar of |
MTC |
multiple testing correction method see( |
minPintercept |
the minimum p value threshold for the intercept value of |
returns a list containing two elements: 1. resultsTable = a data.frame containing the variables found to be below both p value thresholds (minPintercept and minPcontVar). 2. resDiff = a data.frame containing the substraction of the resDiffId groups.
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