PCRedux (version 1.2-0)

encu: A function to calculate numerous features from amplification curve data from a quantitative PCR experiment.

Description

encu (ENcode CUrves) is a function to calculate numerous features of a large amplification curve data set. The pcrfit_single is performing the analysis for a single process.

Usage

encu(data, detection_chemistry = NA, device = NA)

Value

gives a data.frame vector (S3 class, type of list) as output for features

The output of the encu function is identical to the pcrfit_single function.

Arguments

data

is the data set containing the cycles and fluorescence amplitudes.

detection_chemistry

contains additional meta information about the detection chemistry (e.g., probes, intercalating dye) that was used.

device

contains additional meta information about the qPCR system that was used.

Author

Stefan Roediger, Michal Burdukiewcz

Examples

library(qpcR)

# Calculate curve features of an amplification curve data. Note that not all
# available CPU cores are used. If need set "all" to use all available cores.
# In this example the testdat data set from the qpcR package is used.
# The samples F1.1 and F1.2 are positive amplification curves. The samples
# F1.3 and F1.4 are negative.
res_encu <- encu(testdat[, 1:3])
res_encu