abstract_fit: Abstract model fit
In bhagwataditya/importomics: Unified statistal Modeling of Omics Data
abstract_fit R Documentation
Abstract model fit
Description
Abstract model fit
Usage
abstract_fit(
object,
sep = guess_fitsep(fdt(object)),
fit = fits(fdt(object)),
coef = coefs(fdt(object), fit = fit),
significancevar = "p",
significance = 0.05
)
Arguments
object
SummarizedExperiment
sep
string
fit
character vector
coef
character vector
significancevar
'p' or 'fdr'
significance
fraction : pvalue cutoff
Value
SummarizedExperiment
Examples
file <- download_data('atkin.metabolon.xlsx')
object <- read_metabolon(file, fit = 'limma', coef = 't3')
fdt(object)
fdt(abstract_fit(object))
bhagwataditya/importomics documentation built on April 20, 2024, 11:19 p.m.
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| abstract_fit | R Documentation |
Abstract model fit
Description
Abstract model fit
Usage
abstract_fit(
object,
sep = guess_fitsep(fdt(object)),
fit = fits(fdt(object)),
coef = coefs(fdt(object), fit = fit),
significancevar = "p",
significance = 0.05
)
Arguments
object |
SummarizedExperiment |
sep |
string |
fit |
character vector |
coef |
character vector |
significancevar |
'p' or 'fdr' |
significance |
fraction : pvalue cutoff |
Value
SummarizedExperiment
Examples
file <- download_data('atkin.metabolon.xlsx')
object <- read_metabolon(file, fit = 'limma', coef = 't3')
fdt(object)
fdt(abstract_fit(object))
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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