fisher: fisher
In ahopki14/tcrSeqR: Tools for analyzing data from Adaptive's ImmunoSeq platform
Description
Usage
Arguments
Value
Author(s)
Description
Performs a fisher test using a contingency table where the top row is the
abundance of one clone and the bottom row is the total counts of all other
clones in that sample
Usage
1
fisher(x, s)
Arguments
x
A 1x2 matrix containing the counts of one clone (typically before
and after a treatment)
s
A 1x2 matrix containing the sum of all receptors in each sample
clonality (FALSE), given by 1 - Entropy.
Value
A p value derived from a one sided fisher test (testing the
hypothesis that the clone expanded from the left sample to the right sample)
Author(s)
Alexander Hopkins
ahopki14/tcrSeqR documentation built on May 16, 2019, 6:56 p.m.
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Description Usage Arguments Value Author(s)
Description
Performs a fisher test using a contingency table where the top row is the abundance of one clone and the bottom row is the total counts of all other clones in that sample
Usage
1 | fisher(x, s)
|
Arguments
x |
A 1x2 matrix containing the counts of one clone (typically before and after a treatment) |
s |
A 1x2 matrix containing the sum of all receptors in each sample clonality (FALSE), given by 1 - Entropy. |
Value
A p value derived from a one sided fisher test (testing the hypothesis that the clone expanded from the left sample to the right sample)
Author(s)
Alexander Hopkins
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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