clreg: clreg

In kellyjwallace/cowlogdata: CowLogData, a Tool to Visualize Obersrvations Generated by the Event Logging Software CowLog

clreg

Description

To determine which metrics correlate with each other and/or show interaction effects of factors, clreg runs linear regression models and generates summary scatterplots.

Usage

clreg(dataname, zonename, factor, factorname)

Arguments

dataname	: summary dataframe of cowlog observations (generated via cldata)
zonename	: list of zones (generated via cldata)
factor	: must be listed as either TRUE or FALSE, if false scatterplots and regresison models of all data are generated, if true scatterplots are colored by category and p values of interaction effects are reported
factorname	:(used if factor = TRUE) name of relevant categorical column in summary dataframe

Examples

clreg(data = dataframe_round, zonename = list_of_zones, factor = TRUE, factorname = "round")

kellyjwallace/cowlogdata documentation built on Dec. 2, 2023, 1:30 a.m.