Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/compareAnalysis.R
This function measures the correlation between two matrices containing the results of two decompositions.
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mat1 
matrix of dimension features/genes x number of components, e.g the results of an ICA decomposition 
mat2 
matrix of dimension features/genes x number of components, e.g the results of an ICA decomposition 
lab 
The vector of labels for mat1 and mat2, e.g the the names of the two datasets on which were calculated the two decompositions 
type.corr 
Type of correlation, either

cutoff_zval 
cutoff_zval: 0 (default) if all genes are used to compute the correlation between the components, or a threshold to compute the correlation on the genes that have at least a scaled projection higher than cutoff_zval. 
Before computing the correlations, the components are scaled and restricted to common row names.
It must be taken into account by the user that if
cutoff_zval
is different from NULL or zero, the
computation will be slowler since each pair of component
is treated individually.
When cutoff_zval
is specified, for each pair of
components, genes that are included in the circle of
center 0 and radius cutoff_zval
are excluded from
the computation of the correlation between the gene
projection of the two components.
This function returns a list consisting of:
cor 
a matrix of dimensions '(nbcomp1+nbcomp2) x (nbcomp1*nbcomp2)', containing the correlation values between each pair of components, 
pval 
a matrix of dimension '(nbcomp1+nbcomp2) x (nbcomp1*nbcomp2)', containing the pvalue of the correlation tests for each pair of components, 
inter 
the intersection
between the features/genes of 
labAn 
the labels of the compared matrices. 
Anne Biton
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