compute_cor: Compute the correlation
In cx30/INDEED: An Implementation of Integrated Differential Expression and Differential Network Analysis for Biomarker Candidate Selection
Description
Usage
Arguments
Value
View source: R/helper_function.R
Description
Compute either pearson or spearman correlation coefficient.
Usage
1
compute_cor(data_group_2, data_group_1, type_of_cor)
Arguments
data_group_2
a n*p matrix.
data_group_1
a n*p matrix
type_of_cor
if NULL, pearson correlation coefficient will be calculated.
Otherwise, a character string "spearman" to calculate spearman correlation
coefficient.
Value
A list of correlation matrix for both group 1 and group 2
cx30/INDEED documentation built on May 5, 2019, 2:41 a.m.
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Description Usage Arguments Value
View source: R/helper_function.R
Description
Compute either pearson or spearman correlation coefficient.
Usage
1 | compute_cor(data_group_2, data_group_1, type_of_cor)
|
Arguments
data_group_2 |
a n*p matrix. |
data_group_1 |
a n*p matrix |
type_of_cor |
if NULL, pearson correlation coefficient will be calculated. Otherwise, a character string "spearman" to calculate spearman correlation coefficient. |
Value
A list of correlation matrix for both group 1 and group 2
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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