layer_stand: Trim and standardize quantification

In Russel88/RCon3D: Analysis of Confocal Images of Microbial Biofilms

Trim and standardize quantification

Description

Function to trim and standardize quantification

Usage

layer_stand(qua, trim = FALSE, layer.start = NULL)

Arguments

qua	A dataframe from the quant function
trim	Should the bottom be trimmed? Specifies the bottom as the first layer (from the bottom) with max counts. Defaults to FALSE
layer.start	Are first layers the "Top" or the "Bottom" of the specimen? If equal to "Top", the layers will be reversed so that low numbers denote the bottom of the specimen

Value

The original qua dataframe including an Exp variable, with a unique name for each image (based on the naming given in the quantify function). And a NewLayer varaible denoting the layer from the bottom of the specimen after trimming

Russel88/RCon3D documentation built on Dec. 14, 2022, 11:06 p.m.