eds.summary: eds.summary

In G-Thomson/gthor: R package of things I find useful in my PhD work

Description

eds.summary

Usage

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

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 May 6, 2019, 5:08 p.m.