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/ insert_bibtex_from_doi.el
Last active
April 16, 2024 09:27
An Emacs command that takes the DOI in the clipboard and inserts the corresponding BibTeX entry at point.
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| (require 'url-http) | |
| (defun insert-bibtex-from-doi () | |
| (interactive) | |
| (let* ((doi (string-trim (gui-get-primary-selection))) | |
| (url (if (string-prefix-p "https://doi.org/" doi) | |
| doi | |
| (concat "https://doi.org/" doi))) | |
| (url-request-method "GET") | |
| (url-mime-accept-string "application/x-bibtex")) |
tmalsburg
/ confidence_intervals.R
Last active
October 14, 2023 07:48
Quick simulation of 50 experiments and their means and 95% confidence intervals
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| set.seed(1) | |
| mu <- 0 | |
| sigma <- 1 | |
| N.trials <- 20 | |
| N.sims <- 50 | |
| rnorm(N.trials*N.sims, mu, sigma) |> | |
| matrix(nrow=N.sims) -> Y | |
| d <- apply(Y, 1, \(y) c(mean(y), sd(y)/sqrt(length(y)))) |
tmalsburg
/ chinese_color_terms.R
Created
September 27, 2023 10:15
Analysis of onset patters of basic Mandarin Chinese color terms
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| library(ggplot2) | |
| library(dplyr) | |
| options(scipen=999) | |
| N <- 100000 # Number of simulations | |
| # Data: |
tmalsburg
/ lengths_of_words_brown_corpus.py
Last active
December 11, 2022 11:42
Python script that uses NLTK to calculate the average length of English words across token and types in the Brown corpus
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| import nltk | |
| from statistics import mean, stdev, median, mode | |
| nltk.download('brown') | |
| tokens = nltk.corpus.brown.tagged_words(tagset="universal") | |
| types = list(dict.fromkeys(tokens)) | |
| # Lengths of tokens / types but ignoring punctuation, numbers, and X | |
| # which is mostly foreign words (German, French, Latin) but strangely | |
| # also a small number of common English words: |
tmalsburg
/ psychling_journals.opml
Last active
June 3, 2023 05:15
RSS feeds of journals publishing work in (psycho)linguistics
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| <?xml version="1.0"?> | |
| <opml version="1.0"> | |
| <head> | |
| <title>(Psycho)linguistics journals</title> | |
| </head> | |
| <body> | |
| <outline title="Annual Rev Ling" xmlUrl="https://www.annualreviews.org/action/showFeed?ui=45mu4&mi=3fndc3&ai=6690&jc=linguistics&type=etoc&feed=atom"/> | |
| <outline title="Brain & Language" xmlUrl="https://rss.sciencedirect.com/publication/science/0093934X"/> | |
| <outline title="Cognition" xmlUrl="http://rss.sciencedirect.com/publication/science/00100277"/> | |
| <outline title="Cognitive Science" xmlUrl="https://onlinelibrary.wiley.com/feed/15516709/most-recent"/> |
tmalsburg
/ README.org
Last active
May 12, 2018 17:23
R functions for calculating binomial credible intervals
This little project now lives in a GitHub repository: https://github.com/tmalsburg/binomialCRIs
tmalsburg
/ Instructions.md
Last active
August 16, 2022 13:58
LaTeX template for articles in APA format
Compile this template by executing the following in a command shell:
pdflatex test && biber test && pdflatex test && pdflatex testThis template uses biblatex and biber instead of good old BibTeX. The bibliography files (*.bib) can have the same format (although biblatex allows using some interesting extensions). However, the biblatex+biber combo is much more powerful than good-old BibTeX (e.g. support for multiple bibliographies in one document) and comes with great documentation.
Suggestions for improvements welcome.
tmalsburg
/ rmarkdown-render.el
Last active
April 26, 2018 17:23
Elisp function for rendering RMarkdown files to PDF. Shows the output of the render process in a separate window.
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| (defun tmalsburg-rmarkdown-render () | |
| "Compiles the current RMarkdown file to PDF and shows output of | |
| the compiler process in a separate window." | |
| (interactive) | |
| (let* ((buf (get-buffer-create "*rmarkdown-render*")) | |
| (temp-window (or (get-buffer-window buf) | |
| (split-window-below -10))) | |
| (command "Rscript -e 'library(rmarkdown); render(\"%s\", output_format=\"%s\")'") | |
| (command (format command (buffer-file-name) "pdf_document"))) | |
| (set-window-buffer temp-window buf) |
tmalsburg
/ mturk_completion_times.org
Last active
June 15, 2016 19:45
How to correctly calculate worker compensation for Amazon Mechanical Turk
tl;dr: When calculating the average time it takes to complete a HIT, it may be more appropriate to use the geometric mean or the median instead of the arithmetic mean. You may otherwise spend considerably more money than necessary (in our case 50% more).
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