RDML (version 0.9-1)

RDML.SetFData: Sets fluorescence data vectors to RDML object

Description

Sets fluorescence data vectors to RDML object for specified method of experiment.

Arguments

data

matrix that contains in the first column constant data for all fluorescence vectors (i.e. cycle numbers or temperature) and fluorescence values in the following columns. The column name is the name of constant data. Names of other column are fdata.names (links to rows at description). Name of matrix passed to param becomes type of data.

description

output from AsTable function that describes fluorescence data.

fdata.type

'adp' for qPCR, 'mdp' for melting data.

Examples

## Not run: 
# PATH <- path.package("RDML")
# filename <- paste0(PATH, "/extdata/", "stepone_std.rdml")
# cfx96 <- RDML$new(filename)
# ## Use plotCurves function from the chipPCR package to
# ## get an overview of the amplification curves
# library(chipPCR)
# ## Extract all qPCR data
# tab <- cfx96$AsTable()
# tab2 <- tab
# tab2$run.id <- "cpp"
# cfx96.qPCR <- cfx96$GetFData(tab)
# cpp <- cbind(cyc = cfx96.qPCR[, 1],
#  apply(cfx96.qPCR[, -1], 2,
#    function(y) CPP(x = cfx96.qPCR[, 1], y = y)$y.norm))
# cfx96$SetFData(cpp, tab2)
# library(ggplot2)
# library(gridExtra)
# cfx96.gg <- cfx96$GetFData(tab, long.table = TRUE)
# cpp.gg <- cfx96$GetFData(tab2,
#                          long.table = TRUE)
# plot1 <- ggplot(cfx96.gg, aes(x = cyc, y = fluo,
#                 group=fdata.name)) +
#                  geom_line() +
#                  ggtitle("Raw data")
# plot2 <- ggplot(cpp.gg, aes(x = cyc, y = fluo,
#                 group=fdata.name)) +
#                  geom_line() +
#                  ggtitle("CPP processed data")
# grid.arrange(plot1, plot2, nrow=2)
# ## End(Not run)