Data and R code supporting "Uncovering state-dependent relationships in shallow lakes using Bayesian latent variable regression"

Vitense, Kelsey
Hanson, Mark A
Herwig, Brian R
Zimmer, Kyle D
Fieberg, John R
2017-10-03
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Persistent link to this item

https://doi.org/10.13020/D6408P
 https://hdl.handle.net/11299/190408
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2009
2011

Date completed

2015

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Title

Data and R code supporting "Uncovering state-dependent relationships in shallow lakes using Bayesian latent variable regression"

Published Date

2017-10-03

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Author Contact

Vitense, Kelsey
viten003@umn.edu

Type

Dataset
Field Study Data
Programming Software Code
Simulation Data

Abstract

This repository contains the data and R code used to conduct the analyses in the article "Uncovering state-dependent relationships in shallow lakes using Bayesian latent variable regression" in Ecological Applications.

Description

Detailed descriptions for each of the files can be found in Readme.txt. The R Markdown, data, and script files can be opened using the R user interface, RStudio (RStudio Team 2015). Once all files are downloaded to a single directory, double-click on 'BLR_data_and_Code.Rproj' to open up a new RStudio window, and the working directory will automatically be set to the folder where the project files are located. The rest of the files can be opened from RStudio.

Referenced by

Vitense, K. Hanson, M.A., Herwig, B.R., Zimmer, K.D., & Fieberg, J. (2017). Uncovering state-dependent relationships in shallow lakes using Bayesian latent variable regression. Ecological Applications, 28(2), 309-322.
https://doi.org/10.1002/eap.1645

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Attribution-NonCommercial-ShareAlike 3.0 United States
 http://creativecommons.org/licenses/by-nc-sa/3.0/us/

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Data Repository for U of M (DRUM)

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Suggested citation

Vitense, Kelsey; Hanson, Mark A; Herwig, Brian R; Zimmer, Kyle D; Fieberg, John R. (2017). Data and R code supporting "Uncovering state-dependent relationships in shallow lakes using Bayesian latent variable regression". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/D6408P.
View/Download file
File View/OpenDescriptionSize
Readme.txtDetailed file descriptions8.53 KB
BLR_data_and_Code.RprojR project file218 B
DNR_Data.csvShallow lake data10 KB
BLRapplied_MDNRdata_SingleYear.RmdR code to analyze a single year of shallow lake data17.22 KB
BLRapplied_MDNRdata_SingleYear.htmlOutput for a single year of shallow lake data1.01 MB
DNR_JAGSout2010_10mil_2400thin.rdsFitted BLR model for year 201043.09 MB
DNR_JAGSout2010_1mil_240thin_LOO_LINEAR.rdsFitted linear model for year 201027.44 MB
BLRapplied_MDNRdata_randomLogist.RmdR code for BLR model with random logistic intercepts15.44 KB
BLRapplied_MDNRdata_randomLogist.htmlOutput for BLR model with random logistic intercepts989.88 KB
DNR_randomLogist_JAGSout_1mil_240thin_LOO.rdsFitted BLR model with random logistic intercepts151.17 MB
BLRapplied_MDNRdata_randomIntLogistThresh.RmdR code for BLR model with random logistic intercepts, random TP/Chla intercepts, random TP thresholds18.11 KB
BLRapplied_MDNRdata_randomIntLogistThresh.htmlOutput for BLR model with random logistic intercepts, random TP/Chla intercepts, random TP thresholds1008.12 KB
DNR_randomIntLogistThresh_JAGSout_1mil_240thin_LOO.rdsFitted BLR model with random logistic intercepts, random TP/Chla intercepts, random TP thresholds227.35 MB
Run_Sim_Study.RR code to run simulation study26.48 KB
SimDatAdd_2sig.RR code with function to create simulated datasets8.74 KB
TP_equilibria.csvSteady state values for simulation model236.4 KB

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