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205 results for “coolbutuseless”

  1. Another cool and useful package from @coolbutuseless: {emphatic} augments the output of data.frames, matrices and simple vectors in R by adding user-defined ANSI highlighting. coolbutuseless.github.io/packa #rstats #print #helper

  2. Yet another cool and useful package from @coolbutuseless: {minixml} lets you build xml files in a programmatic way. I see good use for it in one of the internal packages at work... coolbutuseless.github.io/packa #RStats #XML #cool #useful

  3. Another cool and useful package from @coolbutuseless: {emphatic} augments the output of data.frames, matrices and simple vectors in R by adding user-defined ANSI highlighting. coolbutuseless.github.io/packa #rstats #print #helper

  4. Another cool and useful package from @coolbutuseless: {emphatic} augments the output of data.frames, matrices and simple vectors in R by adding user-defined ANSI highlighting. coolbutuseless.github.io/packa #rstats #print #helper

  5. Inspired by @kamapu map for day 16 of #30DayMapChallenge and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.

    I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.

    1/n

    #rstats #rspatial #introduction

  6. Inspired by @kamapu map for day 16 of #30DayMapChallenge and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.

    I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.

    1/n

    #rstats #rspatial #introduction

  7. Inspired by @kamapu map for day 16 of and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.

    I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.

    1/n

  8. Inspired by @kamapu map for day 16 of #30DayMapChallenge and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.

    I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.

    1/n

    #rstats #rspatial #introduction

  9. Inspired by @kamapu map for day 16 of #30DayMapChallenge and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.

    I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.

    1/n

    #rstats #rspatial #introduction

  10. - minimalist audio generation

    # Search for "bytebeats'
    `%>>%` <- bitwShiftR
    `%&%` <- bitwAnd
    `%|%` <- bitwOr

    t <- seq(0, 8000 * 4)
    snd <- (t * (((t %>>% 12) %|% (t %>>% 8)) %&% (63 %&% (t %>>% 4))) )
    audio::play(snd %% 255, rate = 8000)
    Sys.sleep(4)

    snd <- t * (42 %&% (t %>>% 10))
    audio::play(snd %% 255, rate = 8000)

  11. #RStats x #Weaving : small update

    * different {WesAnderson} palettes along warp/weft
    * random tie-up
    * better default plotting (esp. colors)

    @weaving

  12. x : small update

    * different {WesAnderson} palettes along warp/weft
    * random tie-up
    * better default plotting (esp. colors)

    @weaving

  13. #RStats x #Weaving : small update

    * different {WesAnderson} palettes along warp/weft
    * random tie-up
    * better default plotting (esp. colors)

    @weaving

  14. #RStats x #Weaving : small update

    * different {WesAnderson} palettes along warp/weft
    * random tie-up
    * better default plotting (esp. colors)

    @weaving

  15. #RStats x #Weaving : small update

    * different {WesAnderson} palettes along warp/weft
    * random tie-up
    * better default plotting (esp. colors)

    @weaving

  16. x

    I'm working on some generators for threading/treadling/tie-ups to take some of the early labor out of weaving design.

    @weaving

  17. CRAN ideas:

    "R CMD CHECK --as-cran" needs the following auto checks before submission:

    * extra whitespace in DESCRIPTION
    * all functions have "@example" in Rd

    I figure they use them as some sort of gatekeeping shibboleth in the review process - but just make them auto-checks proir to submission!!

    R-Core/CRAN keeps telling us time, and volunteer hours, are precious, yet we go through this dance all-the-bloody-time!

  18. CRAN Musings:

    Are CRAN making things harder for themselves?

    1. Submitted {nara} to CRAN 8 days ago
    2. Rejected 4 days ago because of
    * One extra space in DESCRIPTION
    * I didn't acknowledge author of *public domain* code I used
    3. Fixed. Resubmitted.
    4. Still waiting 3 days later.

  19. #RStats CRAN Musings:

    Are CRAN making things harder for themselves?

    1. Submitted {nara} to CRAN 8 days ago
    2. Rejected 4 days ago because of
    * One extra space in DESCRIPTION
    * I didn't acknowledge author of *public domain* code I used
    3. Fixed. Resubmitted.
    4. Still waiting 3 days later.

  20. #RStats CRAN Musings:

    Are CRAN making things harder for themselves?

    1. Submitted {nara} to CRAN 8 days ago
    2. Rejected 4 days ago because of
    * One extra space in DESCRIPTION
    * I didn't acknowledge author of *public domain* code I used
    3. Fixed. Resubmitted.
    4. Still waiting 3 days later.

  21. #RStats CRAN Musings:

    Are CRAN making things harder for themselves?

    1. Submitted {nara} to CRAN 8 days ago
    2. Rejected 4 days ago because of
    * One extra space in DESCRIPTION
    * I didn't acknowledge author of *public domain* code I used
    3. Fixed. Resubmitted.
    4. Still waiting 3 days later.

  22. #RStats CRAN Musings:

    Are CRAN making things harder for themselves?

    1. Submitted {nara} to CRAN 8 days ago
    2. Rejected 4 days ago because of
    * One extra space in DESCRIPTION
    * I didn't acknowledge author of *public domain* code I used
    3. Fixed. Resubmitted.
    4. Still waiting 3 days later.

  23. x = Now looking like a real weave!

    Warp & Weft both:
    * Wes Anderson palletes (Royal2, Zissou1)
    * Mirrored Fibonnaci spacing

    @weaving

  24. x = out

    Warp threads = Fibonacci spacing + Wes Anderson palette.
    Weft threads = mirrored grayscale with Fibonacci sequence

    @weaving

  25. x = nerd weave

    Warp spacing: First 5 fibonacci nums
    Warp color = Wes Anderson "Royal Tenenbaums" palette from {wesanderson}

    Images: digital weave & draft

    @weaving

  26. x

    Warp threads can now be tied to multiple arbitrary shafts, which means that this is now a fully programmable digital jacquard loom

    @weaving

  27. x

    Digital render of a classic houndstooth on a 2-shaft loom.

    Smoothing out the interface and data structures, but it's still a bit rough.

    @weaving

  28. x =

    1. Digital Weaving output
    2. R code to produce weaving
    3. Inspiration draft

    @weaving

  29. x realisation

    I can simulate a programmable jacquard-style loom by allowing for an unbounded number of shafts, and a treadle which ties up to each shaft in turn - which is easy when its all just numbers on a computer!

  30. CRAN question -

    If I include code that is explicitly in the public domain, do I have to include authors as part of the Authors@R in the DESCRIPTION?

    The code is in the public domain. The author didn't actively contribute to the package. Nor are they a copyright owner.