Need for speed: Short lifespan selects for increased learning ability - Data
Data files
Oct 25, 2019 version files 18.78 MB
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dfL_1
430.01 KB
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dfL_10
439.87 KB
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dfL_110
719.62 KB
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dfL_113
711.77 KB
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dfL_118
617.46 KB
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dfL_12
418.46 KB
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dfL_120
637.70 KB
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dfL_130
675.86 KB
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dfL_14
413.75 KB
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dfL_140
688.77 KB
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dfL_15
451.73 KB
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dfL_16
618.65 KB
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dfL_17
716.57 KB
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dfL_170
709.59 KB
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dfL_18
715.64 KB
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dfL_19
716.17 KB
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dfL_20
716.44 KB
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dfL_220
714.32 KB
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dfL_280
718.87 KB
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dfL_30
718.94 KB
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dfL_340
718.56 KB
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dfL_400
719.20 KB
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dfL_460
718.31 KB
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dfL_5
395.51 KB
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dfL_50
717.68 KB
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dfL_600
718.51 KB
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dfL_70
717.57 KB
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dfL_800
718.28 KB
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dfL_90
717.56 KB
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Function_SeasonLong_Dryad.R
16.32 KB
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Meta118
70.57 KB
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MetaPop
6.71 KB
Abstract
The first dataset provides the R code for the simualiton.
The other datasets give trait values of "learning speed" ("L") for each Individual in each generation (1-200) for different lifespans (season length). From season length 1 to 800.
One dataframe ("Metapop") provide results of all 10 runs and give the mean trait value ("L") for a given sl (1-800) for each run.
One dataframe ("Meta118") provide results of all 10 runs and give the individual trait values ("L","Picky") and the individual scores for collected number of resource items ("Colsum") and sum of value of all collected resoruces ("sumS") for a given sl=118 for each run.
The dataframes can be uploaded into R by e.g.:
df<-read.csv(".../dfL_1")