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 * Joe Fruehwald has a [[https://jofrhwld.github.io/blog/2016/05/01/many_models.html|blog post]] with a really nice walk through of using list columns in dplyr (columns that can hold another data frame, a model output, etc.) with `purrr::map` for running the same model on subsets of data (like Wednesday showed us). -DK
 * (If you're curious about how you might refactor an analysis along these lines, compare this analysis of vowel distributions at talker/gender/dialect level [[https://bitbucket.org/hlplab/nspvowels|available here]] with the [[https://bitbucket.org/hlplab/nspvowels/src/original-analysis/|original version]] of the same analysis. I was surprised how much `purrr` and `dplyr` can work together to streamline and speed up code.) -DK
 * New paper out looking at eye-tracking and speech planning. Reports that speakers' gaze during speech planning sensitive to what is in common ground and finds little evidence that this leads to delays in speech planning. [[http://doi.org/10.1080/23273798.2016.1148747|Vanlangendonck, Willems, Menenti, & Hagoort, (2016). An early influence of common ground during speech planning. LCN, 3798, 1–10. doi:10.1080/23273798.2016.1148747]]
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  1. Ran an MTurk experiment from Scott that he told me about on Wednesday and had all the data by Friday afternoon
  2. Fixed some code in my list balancer that got broken by Amazon changing an API limit
  3. Helped Dave get a couple PostgreSQL databases set up for his new experiment backend
  4. Started changes to my experiment runner to give it an API and make it a general experiment runner instead of two slightly out of sync copies of the same codebase; one for SPR experiments and one for Soc``Align experiments
  5. Looked through the docs and source for the Amazon MTurk API 1.7.0 for Java to see if it's worth using it instead of or in addition to boto. Short term probably not, but if boto3 never adds MTurk support (currently they have no plans to) and they never merge my patch for boto2 (looking increasingly unlikely after a year), then quite possibly it's worth it long term.
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 1. Wrapped up initial pass testing of AutoVOT and got in contact with the creators for some thoughts on what to about it's reliability.
 1. Wrapped up initial analyses for JML follow-up, just waiting on the remaining annotations before planning next steps.
 1. Continued drafting up JML follow-up write-up for dissertation.
 1. Read new paper by [[http://doi.org/10.1037/rev0000026|H.H. Clark in Psych Review on depiction]]
 1. Attended the Pton language group meeting, read the [[http://doi.org/10.1073/pnas.1517094113|back]] - [[http://doi.org/10.1073/pnas.1600603113|and]] - [[http://doi.org/10.1073/pnas.1601447113|forth]] in PNAS between Lidz and colleagues and Piantadosi & Kidd.
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 1. Did my final NSF GRFP activity report.
 1. '''Wrote''' up hierarchical clustering based analyses of animal imaging project.
 1. Improvements to '''experiment back end''' (check/record start, finish, abandon, submit; show informative error messages)
 1. '''Deploy''' MTurk experiment to www (including setting up databases) and pilot
 1. '''Drafted''' abstract for LabPhon workshop based on Kodi's analysis of Nationwide Speech Project data.
 1. '''Refactored''' [[https://bitbucket.org/hlplab/nspvowels|code for KL divergence and classification error]] for NSP vowels using `purrr` and friends.
 1. Re-started work on [[https://github.com/JuliaStats/DataFrames.jl/pull/870/|implementing contrasts coding for Julia]]
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 1. Got C&G code from Linda, working on making it my own for a pilot of the pupillometry project
 1. Broke homebrew, fixed homebrew, got lolcommits working
 1. Stats finaaaaaallllll
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 1. More writing and analysis for pen in the mouth, exp 1.
 1. Ran C&G new noise condition. Preprocessed the data.
 1. Worked on stats final.
 1. Wrote up latex tutorial for the final RA meeting of the semester.
 1. Helped Thais debug some code.
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=== Wednesday ===
 1. Writing
 1. Did stats homework, glanced at stats final

Lab Meeting, Spring 2016, Week 16

Awe- and Aw-inspiring readings (or just stuff you think deserves a mention)

What we did over last week

Florian

Chigusa

Andrew

  1. Ran an MTurk experiment from Scott that he told me about on Wednesday and had all the data by Friday afternoon
  2. Fixed some code in my list balancer that got broken by Amazon changing an API limit
  3. Helped Dave get a couple PostgreSQL databases set up for his new experiment backend
  4. Started changes to my experiment runner to give it an API and make it a general experiment runner instead of two slightly out of sync copies of the same codebase; one for SPR experiments and one for SocAlign experiments

  5. Looked through the docs and source for the Amazon MTurk API 1.7.0 for Java to see if it's worth using it instead of or in addition to boto. Short term probably not, but if boto3 never adds MTurk support (currently they have no plans to) and they never merge my patch for boto2 (looking increasingly unlikely after a year), then quite possibly it's worth it long term.

Olga

Esteban

  1. Wrapped up initial pass testing of AutoVOT and got in contact with the creators for some thoughts on what to about it's reliability.
  2. Wrapped up initial analyses for JML follow-up, just waiting on the remaining annotations before planning next steps.
  3. Continued drafting up JML follow-up write-up for dissertation.
  4. Read new paper by H.H. Clark in Psych Review on depiction

  5. Attended the Pton language group meeting, read the back - and - forth in PNAS between Lidz and colleagues and Piantadosi & Kidd.

Dave

  1. Did my final NSF GRFP activity report.
  2. Wrote up hierarchical clustering based analyses of animal imaging project.

  3. Improvements to experiment back end (check/record start, finish, abandon, submit; show informative error messages)

  4. Deploy MTurk experiment to www (including setting up databases) and pilot

  5. Drafted abstract for LabPhon workshop based on Kodi's analysis of Nationwide Speech Project data.

  6. Refactored code for KL divergence and classification error for NSP vowels using purrr and friends.

  7. Re-started work on implementing contrasts coding for Julia

Sarah

Dan

Amanda

Zach

  1. Got C&G code from Linda, working on making it my own for a pilot of the pupillometry project

  2. Broke homebrew, fixed homebrew, got lolcommits working
  3. Stats finaaaaaallllll

Linda

  1. More writing and analysis for pen in the mouth, exp 1.
  2. Ran C&G new noise condition. Preprocessed the data.

  3. Worked on stats final.
  4. Wrote up latex tutorial for the final RA meeting of the semester.
  5. Helped Thais debug some code.

Maryam

Wednesday

  1. Writing
  2. Did stats homework, glanced at stats final

LabmeetingSP16w16 (last edited 2016-05-03 15:58:27 by FlorianJaeger)

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