eds.summary: eds.summary

Description Usage Arguments Value Examples

View source: R/qrt_pcr.R

Description

eds.summary

Usage

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eds.summary(data, Experimental_conditions = NULL, Problems = NULL)

Arguments

data

This is a dataframe created by the read.sds function

Experimental_conditions

If you have multiple experimental conditions that you want to compare this is a character vector of those conditions. By default it is NULL

Problems

This is a character vector of the wells (specified by coordinate e.g. "A1") which have been identified as problematic by looking at the Ct curves etc. They get removed from further analysis

Value

This function takes the eds data and does the munging to get it in a useful form for your experiment, especially if multiple experiments are done on one plate. Essentially it averages out technical replicates for a given experiment and groups biological replicates of the same measurements for downstram analysis. It returns a list with each entry being a dataframe for a gene/condition combination.

Examples

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Experimental_conditions <- c("SD", "LD")
Problems <- c("A14", "B1", "B12", "I4", "I5", "I6", "J1")
eds.summary(test, Experimental_conditions = Experimental_conditions, Problems = Problems)

G-Thomson/gthor documentation built on Jan. 27, 2018, 9:21 a.m.