View source: R/class_RegspliceResults.R
RegspliceResults-class | R Documentation |
RegspliceResults
objects contain the results of a regsplice
analysis.
RegspliceResults(gene_IDs)
gene_IDs(x)
## S4 method for signature 'RegspliceResults'
gene_IDs(x)
p_vals(x)
## S4 method for signature 'RegspliceResults'
p_vals(x)
p_adj(x)
## S4 method for signature 'RegspliceResults'
p_adj(x)
LR_stats(x)
## S4 method for signature 'RegspliceResults'
LR_stats(x)
df_tests(x)
## S4 method for signature 'RegspliceResults'
df_tests(x)
gene_IDs |
Gene identifiers or names (character vector). |
x |
|
RegspliceResults
objects are created with the constructor function
RegspliceResults()
, which requires the gene IDs as an argument.
Once created, RegspliceResults
objects are then populated using the functions
fitRegMultiple
, fitNullMultiple
,
fitFullMultiple
, and LRTests
.
The function summaryTable
can be used to display a summary table of the
results.
Returns an empty RegspliceResults
object.
gene_IDs
Gene identifiers or names (character vector).
fit_reg_dev
Deviance of fitted regularized (lasso) models from
fitRegMultiple
.
fit_reg_df
Degrees of freedom of fitted regularized (lasso) models from
fitRegMultiple
.
fit_null_dev
Deviance of fitted null models from
fitNullMultiple
.
fit_null_df
Degrees of freedom of fitted null models from
fitNullMultiple
.
fit_full_dev
Deviance of fitted full models from
fitFullMultiple
.
fit_full_df
Degrees of freedom of fitted full models from
fitFullMultiple
.
p_vals
Raw p-values (numeric vector).
p_adj
Multiple testing adjusted p-values (Benjamini-Hochberg false discovery rates, FDR).
LR_stats
Likelihood ratio test statistics.
df_tests
Degrees of freedom of likelihood ratio tests.
gene_IDs()
: Accesses gene identifiers or names.
p_vals()
: Accesses raw p-values.
p_adj()
: Accesses multiple testing adjusted p-values (Benjamini-Hochberg false discovery rates, FDR).
LR_stats()
: Accesses likelihood ratio test statistics.
df_tests()
: Accesses degrees of freedom of likelihood ratio tests.
fitRegMultiple
fitNullMultiple
fitFullMultiple
LRTests
summaryTable
# initialize RegspliceResults object
gene_IDs <- paste0("gene", 1:5)
RegspliceResults(gene_IDs)
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