View source: R/analysisFeatureCorr.R
ftcor | R Documentation |
Compute feature correlation matrices for each group and all groups together
ftcor(
dataset1 = NULL,
dataset2 = NULL,
method = c("pearson", "kendall", "spearman"),
factor = NULL,
features1 = NULL,
features2 = NULL
)
dataset1 |
MicroVis dataset. Defaults to the active dataset |
dataset2 |
(Optional) MicroVis dataset with features to correlate with the 'dataset1' |
method |
Correlation method. One of either "pearson", "spearman", or "kendall". Defaults to "spearman" |
factor |
Factor to group samples by |
features1 |
(Optional) Specific features to consider from first dataset. If only one dataset is being used, then these features will be correlated with features of the same dataset |
features2 |
(Optional) Specific features to consider from second dataset. If no second dataset is provided, then 'features1' will be correlated with 'features2' from 'dataset1' |
List of correlation matrices for each group with additional matrices containing p-values and adjusted p-values
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