prep_dat_glm: Prep BBS data for GLM modeling. Create dataframe with Count,...
In BibelnieksDFW/BrBS: Exploratory Analysis and Visualizations for BBS database
prep_dat_glm R Documentation
Prep BBS data for GLM modeling.
Create dataframe with Count, Year, Year squared, Quarter, and N_Stations for passing to model_birds_glm.
Description
Prep BBS data for GLM modeling.
Create dataframe with Count, Year, Year squared, Quarter, and N_Stations for passing to model_birds_glm.
Usage
prep_dat_glm(bbs_dat)
Arguments
bbs_dat
Dataframe with BBS data.
Value
Dataframe with columns suitable for BrBS' default glm modeling.
BibelnieksDFW/BrBS documentation built on April 20, 2022, 12:54 a.m.
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| prep_dat_glm | R Documentation |
Prep BBS data for GLM modeling. Create dataframe with Count, Year, Year squared, Quarter, and N_Stations for passing to model_birds_glm.
Description
Prep BBS data for GLM modeling. Create dataframe with Count, Year, Year squared, Quarter, and N_Stations for passing to model_birds_glm.
Usage
prep_dat_glm(bbs_dat)
Arguments
bbs_dat |
Dataframe with BBS data. |
Value
Dataframe with columns suitable for BrBS' default glm modeling.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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