DeltaCI: Computation of confidence intervals for difference in summary...

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/dataflow.R

Description

This function is used for calculation of confidence intervals for the difference in summary statistics when the same cell line have been treated with a drug in two conditions.

Usage

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DeltaCI(A.data, 
        conf     = c(2.5, 97.5), 
        diff.var = 1, 
        drug     = 1, 
        model    = "G", 
        type     = "AUC", 
        time     = "48",
        dose.scale  = "mol/l",
        dose.logfun = "log10",
        reverse     = FALSE)

Arguments

A.data

The A.data object created by the function doseResponseModel.

conf

Numeric vector indicating the limits of the confidence intercal defaults to c(2.5, 97.5).

diff.var

Character indicating the variable used for separating the experiments for which the difference is to be calculated.

drug

The drug for which the difference should be calculated.

type

The summary statistic for which the difference is to be calculated.

time

The time point where the difference is to be calculated.

dose.scale

Character indicating the scale used for the summary statistcs. The unit is written as e.g. ug/ml to indicate micro grams per milli litre and defaults to mol/l. The unit is written as ug/ml The current implementations for multiples are:

Name deca hecto kilo mega giga tera peta exa zetta yotta
Prefix da h k M G T P E Z Y
Factor 10^0 10^1 10^2 10^3 10^6 10^9 10^12 10^15 10^18 10^21 10^24

The current implementations for fractions are:

Name deci centi milli micro nano pico femto atto zepto yocto
Prefix d c m u n p f a z y
Factor 10^-1 10^-2 10^-3 10^-6 10^-9 10^-12 10^-15 10^-18 10^-21 10^-24
dose.logfun

Character indicating if the concentrations should be log transformed. The possible inputs are nolog for non log transformation, log10, log2, log for log transforming with base 10, 2, and e, respectively.

reverse

Reverse the calculation of difference.

Value

Confidence interval on differences for calculated summary statistics.

Author(s)

The function was written at department of haematology, Aalborg University Hospital and maintained by Steffen Falgreen.

References

Steffen Falgreen et al. Exposure time independent summary statistics for assessment of drug dependent cell line growth inhibition (2013)

See Also

doseResponseModel,DeltaPlot

Examples

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HaemAalborg/DoseR documentation built on Jan. 17, 2021, 7:40 a.m.