library(future)
library(furrr)
library(kit)
#> Attaching kit 0.0.15 (OPENMP enabled using 1 thread)
library(tidyverse)
## reprex data
set.seed(1)
vars <- paste0(letters,1:10)[1:15]
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__author__ = 'jan' | |
import numpy as np | |
import scipy.weave | |
def grad_dist2(ls, x1, x2=None): | |
if x2 is None: | |
x2 = x1 |
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*.aux | |
*.glo | |
*.idx | |
*.log | |
*.toc | |
*.ist | |
*.acn | |
*.acr | |
*.alg | |
*.bbl |
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_companyName:GitHub | |
_productName:Atom | |
_version:1.6.2 | |
platform:win32 | |
process_type:renderer | |
prod:Electron | |
ptime:160961635 | |
rept:electron-crash-service | |
ver:0.34.5 |
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# Script to make a word cloud of your google searches. Get your google search | |
# history at https://myactivity.google.com/more-activity . This script assumes the JSON files | |
# exported are in a 'Searches' subfolder | |
library(jsonlite) | |
library(rlist) | |
library(magrittr) | |
library(stringi) | |
library(wordcloud) | |
library(tm) |
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function cell2csv(fileName, cellArray, append, separator, excelYear, decimal) | |
% Writes cell array content into a *.csv file. | |
% | |
% CELL2CSV(fileName, cellArray, append, separator, excelYear, decimal) | |
% | |
% fileName = Name of the file to save. [ i.e. 'text.csv' ] | |
% cellArray = Name of the Cell Array where the data is in | |
% append = false to open a new file, or true to go on with the existent. | |
% separator = sign separating the values (default = ';') | |
% excelYear = depending on the Excel version, the cells are put into |
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pars <- list(Y = structure(c(46910819.9790649, 106932464.945086, 47871319.9775817, | |
107009304.974582, 31754130.0099559, 67657619.9535588, 33118039.9730373, | |
72316044.9935353, 46901215.0102922, 98729795.0210831, 43145660.0025119, | |
91362760.0231563, 39572599.9997401, 84379924.9702695, 30947309.992971, | |
69607434.9551284, 55180725.0019158, 107499160.056843, 56122014.9924626, | |
105568554.950027, 41935429.9847383, 64420735.0140891, 44557595.0019883, | |
75351225.0170069, 42857510.0085098, 111677335.095885, 51453984.9920682, | |
123750819.967743, 42838300.0033168, 110611180.039133, 43923664.993523, | |
117459544.975627, 36258875.0053207, 108939910.016663, 32743445.0015492, |