http://marceloarayasalas.weebly.com/

Repeatability of uplifting power experiment

Only in adults

AICs for lme repeatability

Modnames K AICc Delta_AICc ModelLik AICcWt LL Cum.Wt
1 Weight~1 + (~ ID) 3 68.26732 0.000000 1.0000000 0.3803738 -30.50208 0.3803738
4 Weight~(duration_of_trial) + (~ ID) 4 69.40905 1.141730 0.5650365 0.2149251 -29.59341 0.5952989
2 Weight~(time_of_the_day) + (~ ID) 4 70.51460 2.247276 0.3250949 0.1236576 -30.14619 0.7189565
7 Weight~(time_of_the_day) + (duration_of_trial) + (~ ID) 5 70.84782 2.580497 0.2752025 0.1046798 -28.65920 0.8236363
3 Weight~(days_from_1st_trial) + (~ ID) 4 71.08223 2.814913 0.2447650 0.0931022 -30.43001 0.9167385
6 Weight~(days_from_1st_trial) + (duration_of_trial) + (~ ID) 5 72.65223 4.384913 0.1116421 0.0424657 -29.56141 0.9592042
5 Weight~(time_of_the_day) + (days_from_1st_trial) + (~ ID) 5 73.80153 5.534208 0.0628437 0.0239041 -30.13606 0.9831083
8 Weight~(time_of_the_day) + (days_from_1st_trial) + (duration_of_trial) + (~ ID) 6 74.49599 6.228664 0.0444082 0.0168917 -28.62299 1.0000000
####* same results with adult data

sample sizes

*Final uplift power was obtained using trials with the highest 2 flights from trials with at least 8 flights

Repeatability of morphology

Repeatability of morphology for ADULTS

Repeatability of morphology including ACROSS YEARS

Singing activity

AIC on singing activity repeatability models

Modnames K AICc Delta_AICc ModelLik AICcWt LL Cum.Wt
3 rel.act~Lek. + (~ Bird.ID) 5 7.457115 0.000000 1.0000000 0.4038797 1.7714424 0.4038797
4 rel.act~Date + (~ Bird.ID) 4 9.310113 1.852998 0.3959374 0.1599111 -0.3271879 0.5637908
1 rel.act~1 + (~ Bird.ID) 3 9.419563 1.962447 0.3748521 0.1513952 -1.5162330 0.7151860
5 rel.act~Date + Lek. + (~ Bird.ID) 6 9.814742 2.357627 0.3076436 0.1242510 1.8044935 0.8394370
2 rel.act~1 + (~ Lek.) + (~ Bird.ID) 4 10.564312 3.107197 0.2114856 0.0854147 -0.9542873 0.9248517
6 rel.act~1 + (~ Date) + (~ Bird.ID) 4 11.688204 4.231089 0.1205677 0.0486948 -1.5162330 0.9735465
7 rel.act~1 + (~ Date) + (~ Lek.) + (~ Bird.ID) 5 12.908575 5.451459 0.0654984 0.0264535 -0.9542873 1.0000000
##*ra ndom effects in paranthesis

Repeatability

Association among variables

Remove collinear variables with similar information leaving the ones with highest repeatability

Cognition

## DEFINEDNAME: 21 00 00 01 0b 00 00 00 03 00 00 00 00 00 00 0d 3b 02 00 00 00 0d 05 00 00 14 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 04 00 00 00 00 00 00 0d 3b 01 00 00 00 b4 05 00 00 20 00 
## DEFINEDNAME: 20 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 a9 02 00 00 09 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 03 00 00 00 00 00 00 0d 3b 02 00 00 00 0d 05 00 00 14 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 04 00 00 00 00 00 00 0d 3b 01 00 00 00 b4 05 00 00 20 00 
## DEFINEDNAME: 20 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 a9 02 00 00 09 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 03 00 00 00 00 00 00 0d 3b 02 00 00 00 0d 05 00 00 14 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 04 00 00 00 00 00 00 0d 3b 01 00 00 00 b4 05 00 00 20 00 
## DEFINEDNAME: 20 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 a9 02 00 00 09 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 03 00 00 00 00 00 00 0d 3b 02 00 00 00 0d 05 00 00 14 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 04 00 00 00 00 00 00 0d 3b 01 00 00 00 b4 05 00 00 20 00 
## DEFINEDNAME: 20 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 a9 02 00 00 09 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 03 00 00 00 00 00 00 0d 3b 02 00 00 00 0d 05 00 00 14 00 
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 04 00 00 00 00 00 00 0d 3b 01 00 00 00 b4 05 00 00 20 00 
## DEFINEDNAME: 20 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 a9 02 00 00 09 00
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting date in [124, 4] got '13:00:00 a.m.'
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting date in [130, 4] got '12:20:00 p.m'
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [179, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [180, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [180, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [181, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [182, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [182, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [183, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [183, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [184, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [185, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [186, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [186, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [187, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [188, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [188, 9] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [189, 8] got `~1%`
## Warning in xls_cols(path, sheet, col_names = col_names, col_types =
## col_types, : Expecting numeric in [189, 9] got `~1%`
## Classes 'tbl_df', 'tbl' and 'data.frame':    312 obs. of  13 variables:
##  $ Configuration: chr  "SC00" "SC01" "SC02" "SC03" ...
##  $ Date         : chr  "41741.000000" "41742.000000" "41742.000000" "41743.000000" ...
##  $ start        : POSIXct, format: "1899-12-30 07:56:00" "1899-12-30 08:43:00" ...
##  $ End          : POSIXct, format: "1899-12-30 11:35:00" "1899-12-30 10:45:00" ...
##  $ FeederA      : chr  "0.300000" "0.300000" "0.150000" "0.150000" ...
##  $ FeederB      : chr  "0.150000" "0.150000" "0.300000" "0.150000" ...
##  $ FeederC      : chr  "0.150000" "0.150000" "0.150000" "0.300000" ...
##  $ FeederD      : num  NA NA NA NA NA NA NA NA NA NA ...
##  $ FeederE      : num  NA NA NA NA NA NA NA NA NA NA ...
##  $ observer     : chr  "KWJ" "KWJ" "KWJ" "KWJ" ...
##  $ Lek          : chr  "SUR" "SUR" "SUR" "SUR" ...
##  $ Site         : chr  "Cacao" "Cacao" "Cacao" "Cacao" ...
##  $ Comment      : chr  NA NA NA NA ...
## 'data.frame':    2999 obs. of  18 variables:
##  $ X            : int  1 110 113 114 210 214 213 2 142 321 ...
##  $ Configuration: Factor w/ 307 levels "CC01","CC02",..: 280 280 280 280 280 280 280 280 291 291 ...
##  $ Entry.ID     : int  1 3 4 5 6 7 9 10 13 14 ...
##  $ ID..         : int  165 178 36 221 178 221 36 165 36 178 ...
##  $ Color.code   : Factor w/ 50 levels "B","BGR","BGW",..: 40 37 35 38 37 38 35 40 35 37 ...
##  $ Date         : Factor w/ 79 levels "2013-05-06","2013-05-07",..: 1 1 1 1 1 1 1 1 1 1 ...
##  $ Time         : Factor w/ 1729 levels "1899-12-31 00:07:40",..: 944 983 986 1048 1063 1066 1079 1082 1684 1685 ...
##  $ FeederA      : Factor w/ 36 levels " ","?","1","1?",..: 3 23 3 23 3 3 3 3 NA 3 ...
##  $ FeederB      : Factor w/ 30 levels "~~","1","1?",..: NA 2 NA 12 NA NA NA NA 2 NA ...
##  $ FeederC      : Factor w/ 34 levels "1","1?","10",..: NA 16 NA 1 NA NA NA NA NA NA ...
##  $ FeederD      : Factor w/ 13 levels "1","1,3","1,3,5",..: NA NA NA NA NA NA NA NA NA NA ...
##  $ FeederE      : Factor w/ 9 levels "1","10","1,3",..: NA NA NA NA NA NA NA NA NA NA ...
##  $ Lek          : Factor w/ 7 levels "CCL","CCL NE",..: 5 5 5 5 5 5 5 5 5 5 ...
##  $ goodones     : Factor w/ 5 levels "FeederA","FeederB",..: 3 3 3 3 3 3 3 3 2 2 ...
##  $ phase        : Factor w/ 1 level "Search": NA 1 NA 1 NA NA NA NA 1 NA ...
##  $ rets         : Factor w/ 1 level "Return": NA NA NA NA 1 1 NA NA 1 1 ...
##  $ NCscores     : int  NA NA NA NA 0 0 NA NA NA 0 ...
##  $ Cscores      : int  NA NA NA NA 0 0 NA NA NA 0 ...
## 
## 143 2013 143 2014 178 2013 203 2013 221 2013 227 2014 231 2014 236 2014 
##       29       33       47       20       50       46       57       73 
## 265 2014 267 2014 271 2014 292 2014 292 2015 300 2014 301 2014 301 2015 
##       27       45       58      134      130       60       42      165 
## 303 2014 312 2014 313 2014 314 2014 316 2014 323 2014 324 2015 331 2014 
##       93      106       32       55       60       65       37       58 
## 336 2014 338 2014 353 2015 356 2015 357 2015 364 2015 
##       35       25       35       88       48      123

repeatability of cognition at different break sizes