QCorrectionThresholding: Corrects all p values for multiple hypotheses, sets threshold...
In Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data
Description
Usage
Arguments
Value
Description
Given the number of comparisons we make across k-nearest
neighborhoods, which is far more than that of disjoint subsetting, this
step is important given that there is an increased likelihood that some
statistically significant differences will occur by chance.
Usage
1
QCorrectionThresholding(cells, threshold)
Arguments
cells
tibble of change values, p values, and fraction condition 2
threshold
a q value below which the change values will be reported
for that cell for that param. If no change is desired, this is set to 1.
Value
inputted p values, adjusted and therefore described as "q values"
Sconify documentation built on Nov. 8, 2020, 6:45 p.m.
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Description Usage Arguments Value
Description
Given the number of comparisons we make across k-nearest neighborhoods, which is far more than that of disjoint subsetting, this step is important given that there is an increased likelihood that some statistically significant differences will occur by chance.
Usage
1 | QCorrectionThresholding(cells, threshold)
|
Arguments
cells |
tibble of change values, p values, and fraction condition 2 |
threshold |
a q value below which the change values will be reported for that cell for that param. If no change is desired, this is set to 1. |
Value
inputted p values, adjusted and therefore described as "q values"
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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