assemble.byDataset: Assemble files based on Dataset

View source: R/assemble.byDataset.R

assemble.byDatasetR Documentation

Assemble files based on Dataset

Description

Assemble individual figures for a single dataset analyzed and plotted by SJD

Usage

assemble.byDataset(
  SJDScorePlotter.obj,
  dataset_name,
  SJD_algorithm,
  group = NA
)

Arguments

SJDScorePlotter.obj

A list outputted by the SJDScorePlotter function

dataset_name

dataset/study analyzed by SJD

SJD_algorithm

SJD_algorithm name of SJD algorithm, i.e. concatICA

group

group name of the weights group from the SJD_algorithm output, i.e 'Shared.All.13'

Value

a list of images filtered by dataset

Examples


library(ggplot2)

data(NeuroGenesis4.afterWrap)
data(NeuroGenesis4.info)

SampleMetaNamesTable = data.frame(
   row.names = names(NeuroGenesis4.afterWrap),
   Type = c('Yaxis','Yaxis','2Dscatter','2Dscatter'),
   XaxisColumn = c("X","DAYx","tSNE_1","tsne1:ch1"),
   YaxisColumn = c("PJDscores","PJDscores","tSNE_2","tsne2:ch1"),
   COLaxisColumn = c("color","colorBYlabelsX","PJDscores","PJDscores"),
   PCHColumn = c("","","","")
)

grp = list(
Shared.All.4 = c(1 : 4),
Shared.bulk.2 = c(1, 2),
Shared.sc.2 = c(3, 4),
Hs.Meisnr.1 = c(1),
Hs.AZ.1 = c(2),
Gesch.1 = c(3),
Telley.1 = c(4)
)
dims = c(2, 2, 2, 2, 2, 2, 2)

lbb = "NeuroGenesis4.p2"

twoStageLCA.out = twoStageLCA(dataset = NeuroGenesis4.afterWrap, group = grp, comp_num = dims)

SJDScorePlotter.obj = SJDScorePlotter(
    SJDalg = "twoStageLCA",
    scores = twoStageLCA.out$score_list,
    lbb = lbb,
    info = NeuroGenesis4.info,
    SampleMetaNamesTable = SampleMetaNamesTable
)

assemble.byDataset.obj = assemble.byDataset(
SJDScorePlotter.obj = SJDScorePlotter.obj,
dataset_name = "Meissner.inVitro.bulk.Hs",
SJD_algorithm = "twoStageLCA",
group = NA)


CHuanSite/SJD documentation built on Nov. 29, 2024, 5:52 a.m.