Description Usage Arguments Value Author(s) See Also Examples
Fits a nonlinear mixed model to qpcr fluorescence data, allowing for one factorial ANOVA designs with several levels for a single treatment factor at multiple genes. Marginal c(t) values are calculated.
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response |
Name of a column in data, denoting a numeric response vector with fluorescence observations. |
cycle |
Name of a column in data, denoting a numeric response vector with cycle numbers. |
gene |
Name of a column in data, denoting a factor coding for different genes. |
treatment |
Name of a column in data, denoting a factor coding for several treatment groups |
brep |
Name of a column in data, denoting a factor coding for biological replications. |
well |
Name of a column in data, denoting a factor coding for technical replications. |
data |
A data.frame object. |
cutoff |
cutoff value t to define c(t) cycle thresholds. |
nGQ |
Number of nodes and weights for Gaussian Quadrature |
verbose |
Some text output during calculation... |
An object of class ddct.
Daniel Gerhard <gerhard@biostat.uni-hannover.de>
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ## Not run:
data(pt6c)
pt6c$Time <- as.factor(pt6c$Time)
pt6result <- qpcr_nlme(response="Fluorescence", cycle="Cycle", gene="Target",
treatment="Time", brep="Content", well="Well",
data=pt6c, cutoff=100, verbose=TRUE)
data(pt3c)
pt3c$Time <- as.factor(pt3c$Time)
pt3result <- qpcr_nlme(response="Fluorescence", cycle="Cycle", gene="Target",
treatment="Time", brep="Content", well="Well",
data=pt3c, cutoff=100, verbose=TRUE)
data(KOTWTcurves)
Kresult <- qpcr_nlme(response="Fluorescence", cycle="Cycle", gene="Target", treatment="Sample", brep="Content", well="Well",
data=KOTWTcurves, cutoff=100, verbose=TRUE)
data(QTTWTcurves)
Qresult <- qpcr_nlme(response="Fluorescence", cycle="Cycle", gene="Target", treatment="Sample", brep="Content", well="Well",
data=QTTWTcurves, cutoff=10, nGQ=5, verbose=TRUE)
## End(Not run)
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