peakabif | R Documentation |
Simple peak location for data imported with the read.abif
function
using cubic spline interpolation.
peakabif(abifdata,
chanel,
npeak,
thres = 400/yscale,
fig = TRUE,
chanel.names = c(1:4,105),
DATA = paste("DATA", chanel.names[chanel], sep = "."),
tmin = 1/tscale,
tmax = abifdata$Data[["SCAN.1"]]/tscale,
tscale = 1000,
yscale = 1000,
irange = (tmin*tscale):(tmax*tscale),
y = abifdata$Data[[DATA]][irange]/yscale,
method = "monoH.FC",
maxrfu = 1000,
...)
abifdata |
the result returned by |
chanel |
the dye number |
npeak |
the expected number of peaks |
thres |
scaled threshold value |
fig |
logical: should localized peaks be plotted |
chanel.names |
numbers extensions used for the DATA |
DATA |
names of the DATA components |
tmin |
scaled starting time for the time axis |
tmax |
scaled ending time for the time axis |
tscale |
scale factor for the time axis |
yscale |
scale factor for the y-axis (RFU) |
irange |
indices of data to be plotted |
y |
values used for the y-axis |
method |
method to be used by |
maxrfu |
argument passed to |
... |
arguments forwarded to |
Returns invisibly a list with the unscaled values for the locations of peaks, heights of peaks and surfaces of peaks and baseline estimate. The peak location are in datapoint units, that is an integer starting at 1 for the first experimental point, 2 for the second experimental point, etc. However, due to interpolation between points the estimated peak location is usually not an integer.
J.R. Lobry
citation("seqinr")
function read.abif
to import files in ABIF format,
plotabif
to plot them,
data gs500liz
for internal size standards,
data identifiler
for allele names in the allelic ladder,
data JLO
for an example of an individual sample file,
data ECH
for an example of an allelic lader.
data(JLO)
JLO.maxis <- peakabif(JLO, 5, npeak = 14, tmin = 2.7, thres = 0.1)$maxis
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