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buildRDMLFromFData() is the shortest way to construct
RDML data from user fluorescence.
fdata <- data.frame(
cyc = 1:5,
sample1_ACTB = c(10, 11, 15, 30, 80),
sample1_GAPDH = c(9, 10, 14, 28, 75)
)
description <- data.frame(
fdataName = c("sample1_ACTB", "sample1_GAPDH"),
expId = c("exp1", "exp1"),
runId = c("run1", "run1"),
reactId = c("A1", "A1"),
sample = c("sample1", "sample1"),
sampleType = c("unkn", "unkn"),
target = c("ACTB", "GAPDH"),
targetDyeId = c("FAM", "HEX"),
cq = c(21.3, 22.1)
)
x <- buildRDMLFromFData(
fdata,
description,
fdataType = "adp",
publisher = "Example laboratory"
)The builder creates the minimum experiment, run, reaction, sample, target, and dye hierarchy.
Description tables may carry calculated result fields such as
cq, meltTemp, or the package extension
meltTemp.
meltTemp preserves multiple measured RDES Tm values.
Standard RDML XML can represent only the primary single
meltTemp, so conversion to RDML may be lossy.
Advanced code can construct schema objects directly.
sample <- sampleType(
id = idType("sample1"),
description = "Example sample"
)
dye <- dyeType(
id = idType("FAM"),
description = "FAM"
)
target <- targetType(
id = idType("ACTB"),
type = targetTypeType("toi"),
dyeId = idReferenceType("FAM")
)The exported schema help topics list the main type families:
Always assign the returned object:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.