• CatalpaRed@lemmy.zip
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    9 hours ago

    R is a lifesaver because it is free. Totally sucked learning it but I am glad I have that skill under my belt.

  • PunnyName@lemmy.world
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    12 hours ago

    This might be the first science meme that has completely and utterly flown over my head. I have zero comprehension here.

    • Ashen44@lemmy.ca
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      10 hours ago

      Toys “R” Us is a chain of toy stores which went bankrupt and shut down all US locations in 2018, although it has recently returned to the US as of 2022.

      R is a statistics focused programming language which sees wide use in the field of data science.

      The meme features characters from the cartoon “The Regular Show”. In the first panel, all the characters are together, interestingly one character for each letter in Toys R Us. In the second panel, only the character representing the R remains, indicating the transition from childhood (toys) to adulthood (statistics). The science part of the meme is mostly just the statistical analysis reference.

  • bryndos@fedia.io
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    2 days ago

    At least the first item in your list is called number 1 like a real human.

    • First_Thunder@lemmy.zip
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      2 days ago

      As a programmer I now feel compelled to troll everyone by convincing the project to change the indexing to 0

      • Cargon@lemmy.ml
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        9 hours ago

        Too many people confuse offsets and indexes. R users have it figured out.

      • bryndos@fedia.io
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        2 days ago

        Haha, wait 'til you find out about how statisticians name and label competing hypotheses; good luck sorting that out!

          • d00ery@lemmy.world
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            2 days ago

            Null hypothesis, as in the data shows no evidence to suggest that there is any statistical difference between the 2 outcomes. At least, thats how I understand it.

            Null Hypothesis (H0) – This can be thought of as the implied hypothesis. “Null” meaning “nothing.” This hypothesis states that there is no difference between groups or no relationship between variables. The null hypothesis is a presumption of status quo or no change.

            Alternative Hypothesis (Ha) – This is also known as the claim. This hypothesis should state what you expect the data to show, based on your research on the topic. This is your answer to your research question.

            https://resources.nu.edu/statsresources/hypothesis

  • Octagon9561@lemmy.ml
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    2 days ago

    But Toys R Us still exists. They’re in every Macy’s and still have a few brick and mortar stores as well.

    • ameancow@lemmy.world
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      20 hours ago

      Nostalgia is not about the actual thing itself, but the person you were when you enjoyed that thing.

    • tpyo@lemmy.world
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      1 day ago

      Damn really? I was just thinking about it the other day and thought they were all gone. By Macy’s, do you mean a standalone store? Or do they have a small section in a mall store?

      • Octagon9561@lemmy.ml
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        1 day ago

        Yeah I can walk into the Macy’s next door essentially and they have a Toys R Us section with a Geoffrey statue and everything. Meanwhile there’s another mall not too far away that still has an open Sears and the Macy’s in that mall also has a Toys R Us section. They also had a brick and mortar store in my area during the holidays last year that will presumably reopen during the next holiday season as well.

    • tetris11@feddit.uk
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      2 days ago

      I have a good friend like you. Smart guy, talks about R but mostly about Julia.

      Decided to write his own transpiler. Dropped off the face of the earth. I wish I had more friends like that

      • lonesomeCat@lemmy.ml
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        2 days ago

        Developer here, I seriously don’t know what to think of the modern tech in general. I reject LLMs because they’re not trustworthy so all of my searches are your typical search engine, stackoverflow, etc. The internet feels so empty, you’d rarely find anything from the last couple of years that’s not AI-gen.

        This is making believe that we will reach a point when our tech stack docs are only cooked into LLMs and I fucking hate that. I would rather go back to the 1990s over this.

        • Riskable@programming.dev
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          20 hours ago

          The problem is it’s an arms race! Stop treating LLMs like their existence is the problem and start viewing it via the lens of war:

          The enemy has lots of badly-behaving LLMs! Marketers, scammers, and lazy management are equipped with Big AI brand LLMzookas that are sending hallucinations our way!

          Captain: “So what do we do about it?”

          Soldier: “Captain, there’s FOSS LLMs that we can deploy! We can use them to defeat the enemy’s bullshit slingers! They can be used to search the web on our behalf to filter out hallucinations and advertisements disguised as content! We can set them up to monitor enemy deployments and analyze intelligence to find the truth and stop propaganda in its tracks!”

          Captain: “…but can FOSS AI generate boobs‽”

          Soldier: “Sir, FOSS has already surpassed commercial AI in that front of the war.”

          Captain: “We need to deploy FOSS AI ASAP!”

      • ZoteTheMighty@lemmy.zip
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        2 days ago

        Jupyter notebook isn’t a language, it’s a tool for running interactive sessions, typically with Python, but in principle with any language. I’m fairly certain people run Julia in Jupyter Notebooks.

        As for the advantages of Julia versus Python, arrays are native types, so they interface better across the entire language. It’s also shockingly fast in comparison, it compiles the code at runtime, so the longer the program runs, the faster it is.

        If there is a use-case for R that Julia or Python can’t do, I haven’t seen it. I personally don’t see the point of writing code in R when the Python and Julia are more broadly useful to learn.

  • HexesofVexes@lemmy.world
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    1 day ago

    Lesson 1 - Plot every pair of variables in this file as a scatter plot using Excel. Calculate every pair of correlations possible from the same file in Excel.

    Lesson 2 - ggpairs and why R is amazing