sim_fisher_wrapper: Simulate the Fisher's test p-values.
In KrasnitzLab/SCclust: Clustering of Single Cell Sequencing Copy Number Profiles to Identify Clones
Description
Usage
Arguments
Value
Description
Given the incidence table for selected features (i.e. pinmat generated by
calc_pins), computes the Fisher's test p-values for pairwise comparisons.
Also perform permutations on the incidence table and compute a set of
Fisher's test p-values for each permutation.
Usage
1
2
sim_fisher_wrapper(pinmat_df, pins_df, njobs = NULL, nsim = 150,
nsweep = 200, seedme = 123)
Arguments
pinmat_df
The incidence table generated by findpins.
pins_df
The pin generated by findpins. The bin information for
the selected feature set.
nsim
the number of permutations/simulations. Default value: 150.
Value
a list of two numeric vector objects. The Fisher's test p-values
for the observation (true) and for the permutations (sim).
KrasnitzLab/SCclust documentation built on Dec. 11, 2021, 5:12 p.m.
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Description Usage Arguments Value
Description
Given the incidence table for selected features (i.e. pinmat generated by
calc_pins), computes the Fisher's test p-values for pairwise comparisons.
Also perform permutations on the incidence table and compute a set of
Fisher's test p-values for each permutation.
Usage
1 2 | sim_fisher_wrapper(pinmat_df, pins_df, njobs = NULL, nsim = 150,
nsweep = 200, seedme = 123)
|
Arguments
pinmat_df |
The incidence table generated by |
pins_df |
The pin generated by |
nsim |
the number of permutations/simulations. Default value: 150. |
Value
a list of two numeric vector objects. The Fisher's test p-values for the observation (true) and for the permutations (sim).
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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