Description Usage Arguments Value Examples
Compares exposures computed by two alternative approaches for the same cohort
1  compare_exposures(in_exposures1_df, in_exposures2_df, deselect_flag = TRUE)

in_exposures1_df 
Numeric data frame with exposures, ideally the smaller exposure data is supplied first. 
in_exposures2_df 
Numeric data frame with exposures, ideally the bigger exposure data is supplied second. 
deselect_flag 
Wehther signatures absent in both exposure data frames should be removed. 
A list with entries merge_df
, all_cor.coeff
,
all_p.value
, cor.coeff_vector
, p.value_vector
,
all_cor.test
, and cor.test_list
.
merge_df
:
Merged molten input exposure data frames
all_cor.coeff
:
Pearson correlation coefficient for all data
points, i.e. taken all signatures together
all_p.value
:
Pvalue of the Pearson test for all data
points, i.e. taken all signatures together
cor.coeff_vector
:
A vector of Pearson correlation coefficients
evaluated for every signature independently
p.value_vector
:
A vector of pvalues of the Pearson tests
evaluated for every signature independently
all_cor.test
:
A data structure as returned by cor.test
for all data
points, i.e. taken all signatures together
cor.test_list
:
A list of data structures as returned by cor.test
, but
evaluated for every signature independently
1 
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