make_rsq: Looks at the relationship between correlation of total marker...
In kristenmf/flowR: Flow Cytometry and Single Cell Analysis
Description
Usage
Arguments
Value
Description
Looks at the relationship between correlation of total marker frequency and cell-level coexpression
Usage
1
make_rsq(sample_coexp, cell_coexp, markers)
Arguments
sample_coexp
output of make_sample_coexp
cell_coexp
output of make_cell_coexp
markers
vector of character strings, marker names in same order as they appear in columns of burt
Value
A dataframe. For each pair of markers: R squared value of multiple regression of cell coexpression frequency on both the total frequencies. Correlation between both total frequencies.
kristenmf/flowR documentation built on May 20, 2019, 6:15 p.m.
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Description Usage Arguments Value
Description
Looks at the relationship between correlation of total marker frequency and cell-level coexpression
Usage
1 | make_rsq(sample_coexp, cell_coexp, markers)
|
Arguments
sample_coexp |
output of make_sample_coexp |
cell_coexp |
output of make_cell_coexp |
markers |
vector of character strings, marker names in same order as they appear in columns of burt |
Value
A dataframe. For each pair of markers: R squared value of multiple regression of cell coexpression frequency on both the total frequencies. Correlation between both total frequencies.
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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