fitGLM: fitGLM

In SydneyBioX/scDC: Single cell differential composition analysis

fitGLM

Description

Visualising the CI using barplot

Usage

fitGLM(
  res,
  condition,
  subject_effect = TRUE,
  pairwise = TRUE,
  fixed_only = FALSE,
  verbose = TRUE
)

Arguments

res	results from scDC_noClustering, scDC_clustering function
condition	a vector indicate the condition associate the results
subject_effect	A logical input for whether fit the subject effect
pairwise	A logical input for whether the subject in different condition are paired
fixed_only	A logical input for whether only fiftting the fixed effect GLM model.
verbose	A logical input for whether print the progress.

Value

return GLM results

Author(s)

Yingxin Lin

Examples

## Loading example data

## Not run: 
library(scDC)
data("sim")

cellTypes = sim$sim_cellTypes
subject = sim$sim_subject
res_scDC = scDC_noClustering(cellTypes, subject,
calCI = TRUE, calCI_method = c("BCa", "percentile"))
barplotCI(res_scDC, c("cond1","cond1","cond2","cond2"))


## End(Not run)

SydneyBioX/scDC documentation built on Nov. 5, 2023, 2:10 a.m.