

Field 
Description 
Type 
Default 
Dedicated Get/Set Function 



vv_type 
type of data, either 'covariance' or 'correlation' 
string 
'' 




corr_type 
type of correlation, either 'pearson', 'spearman', or 'kendall' 
string 
'' 




pval 
pvalue for the test whether rho = 0 
double matrix of the same dimensions as the field matrix<\i> 
[] 




sample_size 
sample size used to compute the correlation/covariance 
integer matrix of the same dimensions as the field matrix<\i> 
[] 




type 
Inherited from vvmatrix. Type of matrix. It is always 'variablevariable' 
string 
'variablevariable' 




row_units 
Inherited from vvmatrix. units of the rowvariables. 
cell 
{} 




row_level 
Inherited from vvmatrix. level of the rowvariables. Can be nominal/ordinal/numerical/unknown 
cell 
{} 




col_units 
Inherited from vvmatrix. units of the columnvariables. 
cell 
{} 




col_level 
Inherited from vvmatrix. level of the columnvariables. Can be nominal/ordinal/numerical/unknown 
cell 
{} 




is_square 
Inherited from vvmatrix. true if the rowvariables are identical to the columnvariable. 
logical 
false 




name 
Inherited from datamatrix. name of object, should be short and used as identifier. This field will never be empty. 
string 
'unnamed' 




description 
Inherited from datamatrix. verbal description of the class content. 
string 
'' 




source 
Inherited from datamatrix. verbal description of the source of information. 
string 
'' 




row_name 
Inherited from datamatrix.
Name of the rowcategory (for example, in gene arrays it can be "tissue").

string 
'' 




row_sampleset 
Inherited from datamatrix.
A sampleset describing the rowsamples.

sampleset 
[] 




row_groupings 
Inherited from datamatrix.
grouping objects associated with the rowsamples.

grouping array 
[] 




col_name 
Inherited from datamatrix.
Name of the columncategory (for example, in gene arrays it can be "genes").

string 
'' 




col_sampleset 
Inherited from datamatrix.
A sampleset describing the columnsamples.

sampleset 
[] 




col_groupings 
Inherited from datamatrix.
grouping objects associated with the columnsamples.

grouping array 
[] 




matrix 
Inherited from datamatrix.
the data matrix.

double 
[] 




transformations 
Inherited from datamatrix.
keeping track on transformations that had been applied previously on the matrix.

structure 
[] 



Dependent 
no_rows 
Inherited from datamatrix.
number of rowsamples.

integer scalar 
0 
norows 


Dependent 
no_cols 
Inherited from datamatrix.
number of columnsamples.

integer scalar 
0 
nocols 
