circulation_lm: Circulation of fitting Linear Models

In LorMe: Lightening One-Code Resolving Microbial Ecology Solution

Circulation of fitting Linear Models

Description

Using circulation to fit linear models between one dependent variable and series of independent variable

Usage

circulation_lm(y, xframe, margin)

Arguments

y	Dependent variable
xframe	Matrix or data frame of independent variable
margin	A vector of 1 or 2 indicates arrangement of xframe. 1:by rows 2:by columns

Details

if row names(for margin 1) and column names(for margin 2) are not given, ID column of return data frame will be row/column numbers.

Value

Data frame contains lm statistics of all Independent Variable

Note

Other arguments used in function lm were set as default. See in lm.

Author(s)

Wang [e-mail]

Examples

data(testotu)

###using margin 1, arrange by rows##
dep=testotu[1,2:21]
in_dep=testotu[-1,2:21]
lm_stat<-circulation_lm(y = dep,xframe = in_dep,margin = 1)
lm_stat

###using margin 2, arrange by column##
dep=testotu[,2]
in_dep=testotu[,3:21]
lm_stat<-circulation_lm(y = dep,xframe = in_dep,margin = 2)
lm_stat

LorMe documentation built on Sept. 13, 2024, 9:07 a.m.