tReem {PCRedux} | R Documentation |
A function to Group Amplification Curves According to their Shape
Description
tReem
is a function to group amplification curves
from a quantitative PCR experiment according to their shape.
Either the Pearson correlation coefficient or the Hausdorff
distance is used as measure. In most cases the grouping based
on the Pearson correlation coefficient is sufficient. The
grouping based on the Hausdorff distance can be very slow
for large data sets.
Usage
tReem(data, cor = TRUE, k = 2)
Arguments
data |
is the cycle dependent fluorescence amplitude (y-axis). |
cor |
is a logical parameter. If set true, the Pearson correlation is used as distance measure. If set FALSE the Hausdorff distance will be used. |
k |
an integer scalar or vector with the desired number of groups. |
Value
gives a data.frame
(S3 class, type of list
) as output for the manual analyzed data
Author(s)
Stefan Roediger, Andrej-Nikolai Spiess
Examples
# Classify amplification curve data by Hausdorff distance
library(qpcR)
tReem(testdat[, 1:5])
[Package PCRedux version 1.2-0 Index]