independent_lm_tests: Test all combinations of levels

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

Description

Internal function.

Usage

independent_lm_tests(Dat, f1, strain, StartP.levels = c("minusP", "plusP"),
  EndP.levels = c("100uM", "30uM"))

Arguments

Dat	A data.frame containing the data of one bacterial treatment. Unsupported behaviour would occur if more than one bacterial treatment is included. The data.frame must contain columns: 'Bacteria', 'StartP' and 'EndP'. The 'Bacteria' column must be either a factor or a character vector containing only values 'No Bacteria' and '+Bacteria'
f1	formula for test. It will be passed to the lm function
strain	A character string, indicating strain name.
StartP.levels	new names for StartP levels
EndP.lvels	new names for EndP levels.

Details

This functions takes the data from one bacterial treatment makes an independent linear model for all observation on each combination of levels between two variables.

Value

A list of data frames. Each data.frame contains a column called 'Strain' which indicates the strain ID. An also contains m more columns (m = length(StartP.levels)*lenght(EndP.levels)). Each element of the list stores the either the coefficiennt for the bacterial treatment (Res), its p-value (Pval), or its standard error (SE).

Author(s)

Sur Herrera Paredes

See Also

lm

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