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 and corresponding delta delta c(t) values are calculated.
1 2 | qpcr_nlme_formula(response, cycle, gene, trtformula, brep, well, data, newdata,
cutoff, nGQ=5, verbose=TRUE)
|
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. |
trtformula |
One-sided formula to model treatment effects |
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. |
newdata |
A data.frame object with covariate values at which cycle thresholds are estimated. |
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>
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