trelli_rnaseq_histogram: Histogram trelliscope building function for RNA-Seq data

In pmartR: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data

Histogram trelliscope building function for RNA-Seq data

Description

Specify a plot design and cognostics for the abundance histogram trelliscope. Main_effects grouping are ignored. Data must be grouped by edata_cname. For MS/NMR data, use "trelli_abundance_histogram".

Usage

trelli_rnaseq_histogram(
  trelliData,
  cognostics = c("sample count", "mean lcpm", "median lcpm", "cv lcpm", "skew lcpm"),
  ggplot_params = NULL,
  interactive = FALSE,
  path = .getDownloadsFolder(),
  name = "Trelliscope",
  test_mode = FALSE,
  test_example = 1,
  single_plot = FALSE,
  ...
)

Arguments

trelliData	A trelliscope data object made by as.trelliData or as.trelliData.edata, and grouped by edata_cname in trelli_panel_by. Must be built using seqData. Required.
cognostics	A vector of cognostic options for each plot. Valid entries are "sample count", "mean lcpm", "median lcpm", "cv lcpm", and "skew lcpm". All are included by default.
ggplot_params	An optional vector of strings of ggplot parameters to the backend ggplot function. For example, c("ylab(”)", "ylim(c(1,2))"). Default is NULL.
interactive	A logical argument indicating whether the plots should be interactive or not. Interactive plots are ggplots piped to ggplotly (for now). Default is FALSE.
path	The base directory of the trelliscope application. Default is Downloads.
name	The name of the display. Default is Trelliscope.
test_mode	A logical to return a smaller trelliscope to confirm plot and design. Default is FALSE.
test_example	A vector of plot indices to return for test_mode. Default is 1.
single_plot	A TRUE/FALSE to indicate whether 1 plot (not a trelliscope) should be returned. Default is FALSE.
...	Additional arguments to be passed on to the trelli builder

Value

No return value, builds a trelliscope display of histograms that is stored in 'path'

Author(s)

David Degnan, Lisa Bramer

Examples

## Not run: 
library(pmartRdata)

trelliData_seq1 <- as.trelliData.edata(e_data = rnaseq_edata, 
                                      edata_cname = "Transcript",
                                      omics_type = "seqData")
omicsData_seq <- group_designation(omicsData = rnaseq_object, main_effects = c("Virus"))

# Filter low transcript counts
omicsData_seq <- applyFilt(filter_object = total_count_filter(omicsData = omicsData_seq), 
 omicsData = omicsData_seq, min_count = 15)

# Select a normalization and statistics method (options are 'edgeR', 'DESeq2', and 'voom').
# See ?difexp_seq for more details
statRes_seq <- diffexp_seq(omicsData = omicsData_seq, method = "voom")

# Generate the trelliData object
trelliData_seq2 <- as.trelliData(omicsData = omicsData_seq)
trelliData_seq3 <- as.trelliData(statRes = statRes_seq)
trelliData_seq4 <- as.trelliData(omicsData = omicsData_seq, statRes = statRes_seq)

# Build the RNA-seq histogram with an edata file. 
# Generate trelliData in as.trelliData.edata
trelli_panel_by(trelliData = trelliData_seq1, panel = "Transcript") %>% 
   trelli_rnaseq_histogram(test_mode = TRUE, test_example = 1:10, path = tempdir())

# Build the RNA-seq histogram with an omicsData object. 
# Generate trelliData in as.trelliData
trelli_panel_by(trelliData = trelliData_seq2, panel = "Transcript") %>% 
   trelli_rnaseq_histogram(test_mode = TRUE, test_example = 1:10, path = tempdir())
    
# Build the RNA-seq histogram with an omicsData and statRes object. 
# Generate trelliData in as.trelliData.
trelli_panel_by(trelliData = trelliData_seq4, panel = "Transcript") %>%
   trelli_rnaseq_histogram(test_mode = TRUE, test_example = 1:10, 
     cognostics = "sample count", path = tempdir())
   
# Users can modify the plotting function with ggplot parameters and interactivity, 
# and can also select certain cognostics.     
trelli_panel_by(trelliData = trelliData_seq1, panel = "Transcript") %>% 
   trelli_rnaseq_histogram(test_mode = TRUE, test_example = 1:10, 
     ggplot_params = c("ylab('')", "xlab('')"), interactive = TRUE,
     cognostics = c("mean lcpm", "median lcpm"), path = tempdir())  

\dontshow{closeAllConnections()}

## End(Not run)

pmartR documentation built on Oct. 15, 2024, 1:06 a.m.