s_matrixacf: Checks non-normal distribution of residuals from linear model...

In kevinvergin/BATSLSA: R scripts for the analysis of data presented in the article "Marine bacterioplankton consortia follow deterministic, non-neutral community assembly rules" by Vergin et al.

Description

Need a dataset with no gaps in the time series. The autocorrelation function is sensitive to the order of the variables in the linear model so generates data for both cases. Difference the data (lag=12 for monthly data) to pre-whiten the data.

Usage

s_matrixacf(matrix, boolean, fn)

Arguments

inputParameter1	matrix of NTU abundances in rows and sample dates in columns inputParameter1
inputParameter2	boolean is a matrix of 1's and 0's from the previous linear model code indicating which NTUs are connected (1's) inputParameter2
inputParameter3	fn is a file name for the output inputParameter3

Value

output A boolean matrix of connections that fail (1’s). Results are in the upper triangle. Need to subtract this matrix from the matrix of connections.

Examples

Run diagnostic with this command:  s_matrixacf(matrix=, boolean=,fn=)

kevinvergin/BATSLSA documentation built on May 20, 2019, 9:20 a.m.