standard.pearson: A clustering function based on pearson correlation
In simpleaffy: Very simple high level analysis of Affymetrix data
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Given a matrix of values, uses hclust and cor to generate a clustering based on 1-Pearson correlation
Usage
1
Arguments
x
A matrix of data
Value
The result of performing an hclust
Author(s)
Crispin J Miller
See Also
Examples
1
2
3
4
## Not run:
y <- standard.pearson(x)
## End(Not run)
simpleaffy documentation built on Nov. 8, 2020, 11:09 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Given a matrix of values, uses hclust and cor to generate a clustering based on 1-Pearson correlation
Usage
1 |
Arguments
x |
A matrix of data |
Value
The result of performing an hclust
Author(s)
Crispin J Miller
See Also
Examples
1 2 3 4 | ## Not run:
y <- standard.pearson(x)
## End(Not run)
|
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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