ddctcomp: Delta Delta c(t) calculation

In daniel-gerhard/qpcrnlme: Nonlinear mixed model analysis of RT-PCR data

Description

All-pair comparisons of treatment levels or comparisons to a control treatment by Delta Delta c(t) parameters given a nlmect object.

Usage

ddctcomp(object, control_gene=NULL, control_treatment=NULL, 
         conf.level=0.95, adjusted=FALSE, ratio_ddct=TRUE)

Arguments

object	An object of class nlmect obtained by calling the function qpcr_nlme.
control_gene	Name of a single control gene in the vector of gene names.
control_treatment	Name of a single control treatment group in the vector of treatment names.
conf.level	confidence level for delta delta c(t) confidence intervals
adjusted	if TRUE, simultaneous confidence intervals controlling the FWER are reported.
ratio_ddct	If TRUE delta delta c(t) is defined as ratio, otherwise the difference of c(t) values

Value

An object of class ddct.

Author(s)

Daniel Gerhard <[e-mail]>

See Also

nlme

Examples

## 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)
ddctcomp(pt6result, control_gene="eEf", control_treatment="0", 
         conf.level=0.95, adjusted=TRUE, ratio_ddct=TRUE)


## End(Not run)

daniel-gerhard/qpcrnlme documentation built on May 14, 2019, 3:39 p.m.