read.ba.peaktable: Read a peak table from a BioAnalyzer Result CSV file

In charles-plessy/molaR: Calculate molarity using exported BioAnalyzer data.

Description

The BioAnalyzer result CSV files contain multiple "peak tables". This function parses the CSV file for a given sample, by default the Ladder, and returns a data frame.

Usage

read.ba.peaktable(CSV, target = "Ladder")

Arguments

CSV	Path to a BioAnalyzer Result CSV file.
target	Name of a sample present in that file. Default: "Ladder".

Details

The file is read once with the readLines() function, the boundaires of the peak table are searched, and the file is read once again within these boundaries with the scan() function.

Value

Data frame with the following columns names. The original names follow.

Size	Size [bp]
Conc	Conc. [pg/µl]
Molarity	Molarity [pmol/l]
Observations	Observations
Area	Area
Time	Aligned Migration Time [s]
Peak.Height	Peak Height
Peak.Width	Peak Width
Total.perc	% of Total
Time.corrected.area	Time corrected area

All columns are numeric type, except "Observations" which is a factor. "Lower Marker" and "Upper Marker" indicate the size markers mixed with all samples. In the case of Ladder peak tables, "Ladder Peak" indicates the ladder peaks.

Author(s)

Charles Plessy

References

See BioAnalyzer's 2100 Expert documentation for more information.

See Also

read.ba.sample

Examples

ladder <- read.ba.peaktable(system.file("data/ba.results.csv", package = "molaR"))
summary(ladder)

charles-plessy/molaR documentation built on April 15, 2021, 1:21 a.m.