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regionReport (version 1.6.5)

derfinderReport: Generate a HTML/PDF report exploring the basic results from derfinder

Description

This function generates a HTML report exploring the basic results from single base-level approach derfinder analysis results (www.bioconductor.org/packages/derfinder). The HTML report itself is generated using rmarkdown (http://rmarkdown.rstudio.com/). It works best after using mergeResults.

Usage

derfinderReport(prefix, outdir = "basicExploration",
  output = "basicExploration", project = prefix, browse = interactive(),
  nBestRegions = 100, makeBestClusters = TRUE, nBestClusters = 2,
  fullCov = NULL, hg19 = TRUE, p.ideos = NULL, txdb = NULL,
  device = "png", significantVar = "qvalue", customCode = NULL,
  template = NULL, theme = NULL, digits = 2, ...)

Arguments

prefix
The main data directory path where mergeResults was run. It should be the same as mergeResults(prefix).
outdir
The name of output directory relative to prefix.
output
The name of output HTML file (without the html extension).
project
The title of the project.
browse
If TRUE the HTML report is opened in your browser once it's completed.
nBestRegions
The number of region plots to make, ordered by area.
makeBestClusters
If TRUE, plotCluster is used on the nBestClusters regions by area. Note that these plots take some time to make.
nBestClusters
The number of region cluster plots to make by taking the nBestClusters regions ranked by area of the cluster.
fullCov
A list where each element is the result from loadCoverage used with cutoff=NULL. Can be generated using fullCoverage.
hg19
If TRUE then the reference is assumed to be hg19 and chromosome lengths as well as the default transcription database (TxDb.Hsapiens.UCSC.hg19.knownGene) will be used.
p.ideos
A list where each element is the result of plotIdeogram. If it's NULL and hg19=TRUE then they are created for the hg19 human reference.
txdb
Specify the transcription database to use for making the plots for the top regions by area. If NULL and hg19=TRUE then TxDb.Hsapiens.UCSC.hg19.knownGene is used.
device
The graphical device used when knitting. See more at http://yihui.name/knitr/options (dev argument).
significantVar
A character variable specifying whether to use the p-values, the FDR adjusted p-values or the FWER adjusted p-values to determine significance. Has to be either 'pvalue', 'qvalue' or 'fwer'.
customCode
An absolute path to a child R Markdown file with code to be evaluated before the reproducibility section. Its useful for users who want to customize the report by adding conclusions derived from the data and/or further quality checks and plots.
template
Template file to use for the report. If not provided, will use the default file found in basicExploration/basicExploration.Rmd within the package source.
theme
A ggplot2 theme to use for the plots made with ggplot2.
digits
The number of digits to round to in the interactive table of the top nBestRegions. Note that p-values and adjusted p-values won't be rounded.
...
Arguments passed to other methods and/or advanced arguments.

Value

  • An HTML report with a basic exploration of the derfinder results.

Details

Set output_format to 'knitrBootstrap::bootstrap_document' or 'pdf_document' if you want a HTML report styled by knitrBootstrap or a PDF report respectively. If using knitrBootstrap, we recommend the version available only via GitHub at https://github.com/jimhester/knitrBootstrap which has nicer features than the current version available via CRAN.

If you modify the YAML front matter of template, you can use other values for output_format.

The HTML report styled with knitrBootstrap can be smaller in size than the default HTML report.

See Also

mergeResults, analyzeChr, fullCoverage

Examples

Run this code
## Load derfinder
library('derfinder')

## The output will be saved in the 'derfinderReport-example' directory
dir.create('derfinderReport-example', showWarnings = FALSE, recursive = TRUE)

## For convenience, the derfinder output has been pre-computed
file.copy(system.file(file.path('extdata', 'chr21'), package='derfinder', 
    mustWork=TRUE), 'derfinderReport-example', recursive = TRUE)

## If you prefer, you can generate the output from derfinder
initialPath <- getwd()
setwd(file.path(initialPath, 'derfinderReport-example'))

## Collapse the coverage information
collapsedFull <- collapseFullCoverage(list(genomeData$coverage), 
    verbose=TRUE)

## Calculate library size adjustments
sampleDepths <- sampleDepth(collapsedFull, probs=c(0.5), nonzero=TRUE, 
    verbose=TRUE)

## Build the models
group <- genomeInfo$pop
adjustvars <- data.frame(genomeInfo$gender)
models <- makeModels(sampleDepths, testvars=group, adjustvars=adjustvars)

## Analyze chromosome 21
analyzeChr(chr='21', coverageInfo=genomeData, models=models, 
    cutoffFstat=1, cutoffType='manual', seeds=20140330, groupInfo=group, 
    mc.cores=1, writeOutput=TRUE, returnOutput=FALSE)

## Change the directory back to the original one
setwd(initialPath)

## Merge the results from the different chromosomes. In this case, there's 
## only one: chr21
mergeResults(chrs = '21', prefix = 'derfinderReport-example', 
    genomicState = genomicState$fullGenome)

## Load the options used for calculating the statistics
load(file.path('derfinderReport-example', 'chr21', 'optionsStats.Rdata'))

## Generate the HTML report
report <- derfinderReport(prefix='derfinderReport-example', browse=FALSE, 
    nBestRegions=1, makeBestClusters=FALSE, 
    fullCov=list('21'=genomeDataRaw$coverage), optionsStats=optionsStats)


if(interactive()) {
    ## Browse the report
    browseURL(report)
}

## Note that you can run the example using:
example('derfinderReport', 'regionReport', ask=FALSE)

Run the code above in your browser using DataLab