setwd("/Users/mcpheem/Google Drive/Research _ Active/Cranes _ Google/crane novel envt project/Data analysis")
Christy task | status | Misty task | status |
---|---|---|---|
fill in variables table | |||
insert text above for abbreviated methods | |||
play with GGpairs | play with GGpairs | ||
CR.2015.txt (for some reason I couldn’t open the .csv so I saved it as a .txt and it was fine; I think that’s an issue with my computer)
CR<-read.table("CR.2015.txt",header=T)
names(CR)
## [1] "Date" "Bird" "Age"
## [4] "Area" "Temp" "Weather"
## [7] "Recent.Activity" "Start" "TMW"
## [10] "TMS" "TMR" "TMH"
## [13] "TML" "TMO" "PMW"
## [16] "PMS" "PMR" "PMH"
## [19] "PML" "PMO" "TBF"
## [22] "TBV" "TBN" "TBP"
## [25] "TBD" "TBE" "TBS"
## [28] "TBO" "PBF" "PBV"
## [31] "PBN" "PBP" "PBD"
## [34] "PBE" "PBS" "PBO"
## [37] "OOVT" "OOVP"
Novel.2015.csv
novel<-read.table("Novel.2015.csv",header=T)
names(novel)
## [1] "Date.Bird.Rearing.Location.Age.Temp.Weather.Start.TMW.TMS.TMR.TMH.TML.TMO.PMW.PMS.PMR.PMH.PML.PMO.TBF.TBV.TBN.TBP.TBD.TBE.TBS.TBO.TBF.TBV.TBN.TBP.TBD.TBE.TBS.TBO.OOVT.OOVP"
PR.2015.csv
PR<-read.table("PR.2015.csv",header=T)
names(PR)
## [1] "Date.Bird.Age.Area.Temp.Weather.Start.TMW.TMS.TMR.TMH.TML.TMO.PMW.PMS.PMR.PMH.PML.PMO.TBF.TBV.TBN.TBP.TBD.TBE.TBS.TBO.PBF.PBV.PBN.PBP.PBD.PBE.PBS.PBO.OOVT.OOVP.Times.Fed"
Code | Behavior | Code | Behavior |
---|---|---|---|
TMW | TMS | ||
TMR | TMH | ||
TML | TMO | ||
PMW | PMS | ||
PMR | PMH | ||
PML | PMO | ||
TBF | TBV | ||
TBN | TBP | ||
TBD | TBE | ||
TBS | TBO | ||
TBF | TBV | ||
TBN | TBP | ||
TBD | TBE | ||
TBS | TBO | ||
OOVT | OOVP |
Dep = behavior
Main effects = location (df = 3), rearing (df = 1)
interaction between location rearing
other variables = covariates and not in interaction term
need more birds than CR/locations or we’re over-parameterizing