pc_map: Principal component heatmap in a plate layout

In platetools: Tools and Plots for Multi-Well Plates

Description

Takes the values and well identifiers, calculates the first principal component, scales and plots the component as a heatmap in the form of a 96 or 384-well plate. A way to quickly show variation of multi-parametric data within a plate.

Usage

pc_map(data, well, plate = 96, ...)

Arguments

data	Vector of numerical data to calculate the first principal component
well	Vector of well identifiers e.g "A01"
plate	Number of wells in complete plate (96, 384 or 1536
...	additional parameters to platetools::z_map

Value

gplot plot

Examples

df <- data.frame(
  well = num_to_well(1:96),
  vals1 = rnorm(1:96),
  vals2 = rnorm(1:96))

pc_map(data = df[, 2:3],
       well = df$well,
       plate = 96)

Example output

platetools documentation built on June 3, 2021, 5:06 p.m.