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import numpy as np | |
import matplotlib.pyplot as plt | |
def plot_top(names, values, n_top=10, | |
order=None, | |
alpha=.25, | |
ax=None, figsize=None): | |
'''Plot the top N values, then squeeze in the rest | |
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library(brms) | |
library(rstan) | |
## Simulate data | |
bxy = 2 | |
bxz = 3 | |
byz = 4 | |
e = .1 | |
n = 1000 |
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library(tidyverse) | |
# Arguments: Sigma of old predictor, Sigma of new predictor, N cases | |
compare_methods = function(s0, s1, n){ | |
print(c(s0, s1, n)) | |
y = rnorm(n, 0, 1) | |
x0 = y + rnorm(n, 0, s0) # Old predictor | |
x1 = y + rnorm(n, 0, s1) # New predictor to evaluate | |
m0 = lm(y ~ x0) |
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from psychopy import visual | |
from psychopy.tools.colorspacetools import hsv2rgb | |
import numpy as np | |
win = visual.Window( | |
size=[800, 600], fullscr=False, screen=0, | |
gammaErrorPolicy='ignore', | |
color=(1, 1, 1), colorSpace='rgb', units='height') | |
class CompoundStim(): |
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from psychopy import visual, event, core | |
win = visual.Window(size=(600, 400), fullscr=False, units='height', | |
color=[1.,1.,1.], colorSpace='rgb', | |
gammaErrorPolicy='ignore') | |
my_text = visual.TextStim(win=win, color='black', | |
pos=[.33, 0], height=.05, wrapWidth=.66, | |
text='') |
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#!/usr/bin/env Rscript | |
# (Don't forget: `chmod +x dplyr`) | |
# Copyright 2018 Eoin Travers <[email protected]> | |
# | |
# This file is free software: you may copy, redistribute and/or modify it | |
# under the terms of the GNU General Public License as published by the | |
# Free Software Foundation, either version 2 of the License, or (at your | |
# option) any later version. | |
# | |
# This file is distributed in the hope that it will be useful, but |
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#!/usr/bin/env python2 | |
""" | |
Run this script in the folder that contains all of your Git repositories | |
to see an ordered summary of your commits from the past N days. | |
Output is tab-delimited, so suggested usage (to see last month's worth of work) is: | |
cd ~/git_repo_folder/ | |
python git-diary.py 30 | column -ts $'\t' | |
""" |
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import re | |
with open('Paper.txt', 'r') as f: | |
paper = f.read() | |
words = paper.split(' ') | |
refs = [] | |
go_back_by = 5 # Default number of words to show before year. | |
last = 0 | |
for i in range(len(words)): |
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// d3.legend.js | |
// (C) 2012 [email protected] | |
// MIT licence | |
(function() { | |
d3.legend = function(g) { | |
g.each(function() { | |
var g= d3.select(this), | |
items = {}, | |
svg = d3.select(g.property("nearestViewportElement")), |
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{ | |
"translatorID": "", | |
"translatorType": 3, | |
"label": "Better BibLateX key for Markdown", | |
"creator": "Eoin Travers. Forked from BibTex key for Markdown, created by liob based on the works of Peter O'Brien, Simon Kornblith and Richard Karnesky", | |
"target": "bib", | |
"minVersion": "2.1.9", | |
"maxVersion": null, | |
"priority": 200, | |
"inRepository": true, |