R: Dynamic Slicing

# Dynamic Slicing

## Documentation for package ‘dslice’ version 1.2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

bfslice_c | Dependency and conditional dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor.
bfslice_eqp_c | Dependency and conditional dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor.
bfslice_eqp_u | Dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor with given size of each group.
bfslice_u | Dependency detection between a level k (k > 1) categorical variable and a continuous variable via Bayes factor.
ds_1 | Non-parametric one-sample hypothesis testing via dynamic slicing
ds_eqp_1 | Non-parametric one-sample hypothesis testing via dynamic slicing
ds_eqp_k | Dependency detection between level k (k > 1) categorical variable and continuous variable
ds_gsa | Gene set analysis via dynamic slicing
ds_k | Dependency detection between level k (k > 1) categorical variable and continuous variable
ds_test | Hypothesis testing via dynamic slicing
ds_type_one_error | Relationship between penalty and Type I error
export_res | Export gene set analysis result
gsa_exp | Gene expression matrix in gene set analysis
gsa_label | Sample labels in gene set analysis
gsa_set | Gene set list in gene set analysis
load_cls | Load phenotype file
load_gct | Load gene expression file
load_gmt | Load gene set file
rank_by_s2n | Ranking genes by signal to noise ratio
relabel | Reassigning values of categorical variable
slice_show | Show the slicing result