plot_design: Plot model

plot_designR Documentation

Plot model

Description

Plot model

Usage

plot_design(object, codingfun = contr.treatment.explicit)

Arguments

object

┬┤SummarizedExperiment

codingfun

factor coding function

  • contr.treatment: intercept = y0, coefi = yi - y0

  • contr.treatment.explicit: intercept = y0, coefi = yi - y0

  • code_control: intercept = ymean, coefi = yi - y0

  • contr.diff: intercept = y0, coefi = yi - y(i-1)

  • code_diff: intercept = ymean, coefi = yi - y(i-1)

  • code_diff_forward: intercept = ymean, coefi = yi - y(i+)

  • code_deviation: intercept = ymean, coefi = yi - ymean (drop last)

  • code_deviation_first: intercept = ymean, coefi = yi - ymean (drop first)

  • code_helmert: intercept = ymean, coefi = yi - mean(y0:(yi-1))

  • code_helmert_forward: intercept = ymean, coefi = yi - mean(y(i+1):yp)

Value

ggplot

Examples

file <- system.file('extdata/billing19.proteingroups.txt', package = 'autonomics')
subgroups <- paste0(c('E00', 'E01', 'E02', 'E05', 'E15', 'E30', 'M00'), '_STD')
object <- read_maxquant_proteingroups(file, subgroups = subgroups)
object$subgroup %<>% substr(1,3)
plot_design(object)

bhagwataditya/importomics documentation built on July 11, 2024, 11:26 a.m.