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a038c2f696
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markov models and iei interval analysis completed
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2023-06-19 15:28:53 +02:00 |
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3a4ece9902
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savety
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2023-06-19 14:33:32 +02:00 |
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988d80f7bd
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work in progress
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2023-06-16 15:37:54 +02:00 |
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d11c83b46f
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savety commit
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2023-06-16 11:14:59 +02:00 |
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cabb3bd2c9
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savety commit
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2023-06-16 11:12:35 +02:00 |
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e22108cdd7
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add void to ethogram. ethogram is now colorful :D
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2023-06-16 10:52:09 +02:00 |
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725c0b426a
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make chirp-chrip cross correlation. marcov model works but requires refinement. arrows from each node should sum up to 100pct ?!
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2023-06-14 15:05:49 +02:00 |
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8af8c92b27
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abs dEODf correlation with lose chrips and med chase duration. chirps look like mexwell distribution.
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2023-06-14 10:09:20 +02:00 |
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96cb4b607c
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dada
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2023-06-13 14:28:04 +02:00 |
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e2c284ea76
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adapted code in a way that rise analysis include more recordings. chirp analysis skip those marked as bad by patrick
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2023-06-13 09:22:33 +02:00 |
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50c762ab8d
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adapted code to compute statistics correctly: trial_mask. done for trial_summary_eval.py. The rest is missing. DO IT. Next and last script: marcov model
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2023-06-12 15:28:32 +02:00 |
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3122cb10dc
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trial summary now includes information about agonistic counts and competition duratin ala ana silva. started to adapt trial_summary_eval.py accordingly to evaluate this
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2023-06-09 13:23:43 +02:00 |
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47a1ac1058
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forgot the commit and push on wednesday
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2023-06-09 07:58:56 +02:00 |
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07daf7457c
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alot of statistics
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2023-06-06 16:56:16 +02:00 |
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bb45677bd1
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analysis almost complete
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2023-06-05 15:40:46 +02:00 |
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11b58dda36
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event vs. time pir charts done
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2023-06-02 11:04:08 +02:00 |
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14c7538cb9
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event time analysis continued... not much left
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2023-06-01 14:53:05 +02:00 |
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f096e9ba4f
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inter event interval analysis done. make function more universial. relative rate progresion of ecent evaluated
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2023-06-01 10:46:13 +02:00 |
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4c013ab869
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time series analysis... excluded chirps in event time correlations. maybe check plots again
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2023-05-31 10:49:29 +02:00 |
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aa200cf049
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changed name of time correlation script to event_time_correlations.py
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2023-05-31 09:25:38 +02:00 |
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32bcb3aeea
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temporal correlations for all logical combinations?!
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2023-05-31 08:06:16 +02:00 |
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e3a5cadc0c
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works nice... adapt loop and clean up the code.
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2023-05-30 15:03:48 +02:00 |
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fbad4ffa4b
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plot looks nice.
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2023-05-30 13:15:45 +02:00 |
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4d045d6ed0
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cross correlations now work... alter code in a way that time axis can be defined out of functions. inlude raster. adapt code for other event combinations
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2023-05-30 11:45:02 +02:00 |
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90424c2c46
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added meta files for convinience
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2023-05-30 07:07:29 +02:00 |
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7a5c5cfd0e
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bf. Monday I need to look into the norming of the kde curves... ToDo comment in one section
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2023-05-26 15:34:41 +02:00 |
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aec5e298bc
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plot
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2023-05-26 15:33:23 +02:00 |
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8a9ec1beed
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bf
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2023-05-26 15:20:12 +02:00 |
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cb37108220
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bf
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2023-05-26 15:17:58 +02:00 |
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caa01a3005
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bf
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2023-05-26 10:42:25 +02:00 |
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0e36d12419
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bug fix
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2023-05-26 10:33:16 +02:00 |
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d6448209e0
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bug fix
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2023-05-26 10:32:06 +02:00 |
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b80a2c8de9
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print statement to assess bootstrap speed
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2023-05-26 10:30:35 +02:00 |
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11c015b1c2
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bug fix
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2023-05-26 10:26:29 +02:00 |
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9cc35819a0
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bug fix
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2023-05-26 10:24:48 +02:00 |
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399197d2b1
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bug fix
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2023-05-26 10:09:26 +02:00 |
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6d7e58ef80
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boot implementations using cupy
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2023-05-26 10:06:02 +02:00 |
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d8d28df2ea
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test
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2023-05-26 08:40:14 +02:00 |
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4f64aa6668
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event time ananlysis started. tried to implement bootstrap with cupy ... memory issues ... resolve on monday
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2023-05-25 15:39:04 +02:00 |
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d9d9982635
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meta analysis continues... next step would be to load the time series data and calculate cross correlations
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2023-05-23 14:53:46 +02:00 |
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8c1f85f89e
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cleaned code
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2023-05-23 11:01:59 +02:00 |
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5af9a25dfd
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continued meta analysis
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2023-05-22 15:15:16 +02:00 |
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42640c17d9
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evaluation of the trial_summary initiated. Now the fun beginns
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2023-05-19 13:17:26 +02:00 |
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3c9bbb6a91
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bf
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2023-05-19 08:17:31 +02:00 |
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83d5e3164b
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include mean shelter power (which denfines winner) to plot.
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2023-05-19 08:15:47 +02:00 |
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922c938fb6
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save ids in trial analysis
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2023-05-19 07:57:34 +02:00 |
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38b4b6800c
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sex assignment works. maybe rewrite trial analyis in a way that everything is saved with reference to ids not winner/loser... seems to be fishy.
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2023-05-17 15:15:15 +02:00 |
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c7725c4e01
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meta data collection nearly finished. Need to assign sexes based on EODf25 mean of each fish at the end. I got issues with winner detection in the trial_analyis.py --> results inconcurrent with csv values. plot mean/median shelter power used for winner assignment
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2023-05-17 14:32:34 +02:00 |
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8517014571
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created DataFrame containing trail data for corrections. Next would be to get to know sexes: load baseline -> q10 comp freqs -> > 749 == f
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2023-05-16 15:12:24 +02:00 |
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fdd5e1cc01
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continued on analysis ... included the calculus of mean_l and w and detected all LED_frames
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2023-05-15 15:20:07 +02:00 |
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