Skip to main content

Symbol pronunciation

I was explaining to someone this evening that I’m in the habit of saying “bang” rather than “exclamation point.” Here’s a list of similar nicknames for symbols.

These nicknames could complement the NATO phonetic alphabet if you needed to read symbols out loud, say over the phone. You might, for example, pronounce “HL&P” as “Hotel Lima Pretzel Papa.”

Or you might use them to have one-syllable names for every symbol. This is a different objective than maximizing phonetic distinctiveness. For example, referring to # and $ as “hash” and “cash” is succinct, but could easily be misheard.

You could also optimize for being clever. Along those lines, I like the idea of pronouncing ( and ) as “wane” and “wax”, by analogy with phases of the moon, though this would be a bad choice if you want to be widely and quickly understood.

Even if someone understood the allusion to lunar phases, and they knew which one looks like an opening parenthesis and which one looks like a closing parenthesis, they might get your meaning backward because they don’t live in the same hemisphere you do! I implicitly assumed the perspective of the northern hemisphere in the paragraph above. Someone from the southern hemisphere would understand “wane” to mean ) and “wax” to mean (.

Phases of the moon in northern and southern hemispheres



from John D. Cook https://ift.tt/2PPPax2
via IFTTT

Comments

Popular posts from this blog

Controlling legend appearance in ggplot2 with override.aes

[This article was first published on Very statisticious on Very statisticious , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In ggplot2 , aesthetics and their scale_*() functions change both the plot appearance and the plot legend appearance simultaneously. The override.aes argument in guide_legend() allows the user to change only the legend appearance without affecting the rest of the plot. This is useful for making the legend more readable or for creating certain types of combined legends. In this post I’ll first introduce override.aes with a basic example and then go through three additional plotting scenarios to how other instances where override.aes comes in handy. Table of Contents R packages Introducing override.aes Adding a guides() layer Using the guide argument in scale_*() Changing multiple aesthetic par...

Using RStudio and LaTeX

(This article was first published on r – Experimental Behaviour , and kindly contributed to R-bloggers) This post will explain how to integrate RStudio and LaTeX, especially the inclusion of well-formatted tables and nice-looking graphs and figures produced in RStudio and imported to LaTeX. To follow along you will need RStudio, MS Excel and LaTeX. Using tikzdevice to insert R Graphs into LaTeX I am a very visual thinker. If I want to understand a concept I usually and subconsciously try to visualise it. Therefore, more my PhD I tried to transport a lot of empirical insights by means of  visualization . These range from histograms, or violin plots to show distributions, over bargraphs including error bars to compare means, to interaction- or conditional effects of regression models. For quite a while it was very tedious to include such graphs in LaTeX documents. I tried several ways, like saving them as pdf and then including them in LaTeX as pdf, or any other file ...