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KirkegaardEmil's profile
Emil O W Kirkegaard
Emil O W Kirkegaard
Emil O W Kirkegaard
@KirkegaardEmil

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Emil O W Kirkegaard

@KirkegaardEmil

#psychology #genomics #hbd #rstats #statistics #genomics #transhumanism #dataviz #openscience #psychometrics @OpenPsychJour

Denmark
emilkirkegaard.dk
Joined January 2012

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    1. R-bloggers‏ @Rbloggers 11 Apr 2017
      • Report Tweet

      Fast data loading from files to R https://wp.me/pMm6L-CMC  #rstats #DataScience

      1 reply 24 retweets 57 likes
    2. Emil O W Kirkegaard‏ @KirkegaardEmil 11 Apr 2017
      • Report Tweet
      Replying to @Rbloggers

      This one is faster. http://www.fstpackage.org/ 

      1 reply 0 retweets 2 likes
    3. Guillermo Ponce‏ @guillermo_ponce 11 Apr 2017
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      Replying to @KirkegaardEmil @Rbloggers

      Well, with real data things always change fread still my best option over feather, readRDS, and fst. for a quite large float-type-csv-filepic.twitter.com/WW8feaLtdu

      1 reply 0 retweets 0 likes
    4. Olga Mierzwa-Sulima‏ @olga_mie 12 Apr 2017
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      Replying to @guillermo_ponce @KirkegaardEmil @Rbloggers

      For real life case the feather was still the best option for us. Although haven't tried fst.

      1 reply 0 retweets 0 likes
    5. Emil O W Kirkegaard‏ @KirkegaardEmil 12 Apr 2017
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      Replying to @olga_mie @guillermo_ponce @Rbloggers

      For large text files, e.g. VCF, better to use shell tools to (pre-)process if possible. R support for big data is not so good yet. :(

      1 reply 0 retweets 0 likes
    6. Guillermo Ponce‏ @guillermo_ponce 12 Apr 2017
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      Replying to @KirkegaardEmil @olga_mie @Rbloggers

      I use of sed/awk/etc to prepare this type of csv, then is just about aggregations, visualization, modeling... data.table = high-leverage

      1 reply 0 retweets 0 likes
      Emil O W Kirkegaard‏ @KirkegaardEmil 12 Apr 2017
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      Replying to @guillermo_ponce @olga_mie @Rbloggers

      One can do that. @hadleywickham et al are working on chunked reading for readr package. This allows pre-processing to be done in R.

      9:22 AM - 12 Apr 2017
      1 reply 0 retweets 0 likes
        1. Emil O W Kirkegaard‏ @KirkegaardEmil 12 Apr 2017
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          Replying to @KirkegaardEmil @guillermo_ponce and

          I tried using the http://readr.tidyverse.org/reference/read_lines_chunked.html … function some months ago, but it still used all the memory for some reason. Had to give up.

          0 replies 0 retweets 0 likes
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