omixerSheet: Sample Sheet Generation

In Omixer: Randomize Samples for -omics Profiling

Description

This function will generate visually intuitive plate layouts for the wet lab, with the option to colour code different types of samples (e.g. for studies investigating multiple tissues).

Usage

omixerSheet(
  omixerLayout = omixerLayout,
  group,
  group.text.size = 3.5,
  sample.text.size = 4
)

Arguments

omixerLayout	Randomized sample list
group	Colour-coding indicator
group.text.size	Change size of group text (default: 3.5)
sample.text.size	Change size of sample text (default: 4)

Value

PDF of sample layout in working directory

Examples

library(tibble)
library(forcats)
library(stringr)

sampleList <- tibble(sampleId=str_pad(1:48, 4, pad="0"),
sex=as_factor(sample(c("m", "f"), 48, replace=TRUE)), 
age=round(rnorm(48, mean=30, sd=8), 0), 
smoke=as_factor(sample(c("yes", "ex", "never"), 48, replace=TRUE)),
date=sample(seq(as.Date('2008/01/01'), as.Date('2016/01/01'), 
               by="day"), 48))
               
randVars <- c("sex", "age", "smoke", "date")

omixerLayout <- omixerRand(sampleList, sampleId="sampleId", 
block="block", iterNum=10, wells=48, div="row", 
plateNum=1, randVars=randVars)

omixerSheet(omixerLayout)

Omixer documentation built on Feb. 4, 2021, 2:01 a.m.