test_all_strains: Test all strains for change in phosphate accumulation

In surh/wheelP: Designing synthetic bacterial communities for predictable plant phenotypes

Description

Performs anova in every strain and returns log-fold change versus no bacteria. Performs anova independently in eveyr combination of StartP and EndP levels

Usage

test_all_strains(Strains, treatment_col, treatment_control = "No Bacteria",
  Master, plot = FALSE, StartP.levels = c("minusP", "plusP"),
  EndP.levels = c("100uM", "30uM"))

Arguments

Strains	vector of strain names
treatment_col	Column name with variable to test
Master	data.frame with all data
plot	logical produce plot?
StartP.levels	New neames for StartP levels. It must be in the same order as the levels in Master
EndP.levels	New names for EndP levels. Must be in the same order as levels in Master.
treament_control	level to use as reference for anova

Value

A list.

Author(s)

Sur Herrera Paredes

surh/wheelP documentation built on May 7, 2019, 10:11 a.m.