1 2 Bee Swarm Script
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Magic! A loaded word... Almost taboo - magic. In this day and age. Only a fool would believe in magic! That's what they all say... Well then, call me a fool, because I believe. I know. (Cough) (She digs through her [Petal Belt] and pulls out some [Glitter]) Gli-tahhhhhh. How does it work Do you know (She tosses the [Glitter] into the air) Nobody knows! Nobody! But I know, heheheh. I know, and I can tell you, if you want. I don't have to tell you. But I can, if you like. (She leans over to you and whispers very quickly:) ...magic... Hah! You saw that coming! Open your eyes, fool! It's everywhere... Magic is what magic does - this world, it's magic! Yes, this world! Look around... All these things! That Special Sprout Summoner over there. How does it work Yes, very true. There are scripts involved. They're machines - they've got mechanics. But that's not HOW they work - you've got it backwards! That's WHY they work. But how Magic! \"But Spirit Bear, you're confused\". Pfft. That's what they've always said. And that's what I always say back: Pfft! Just like that. Nothing you see, can be seen through being comprehended, you see That's not how things become things! No no. To comprehended is to forget. You can't investigate magic - goodness no. It'll slip right through your fingers. Don't grasp it - behold it. Bees hold it, don't you bees (She smiles at your bees) You guys are just covered in [Glitter], what a mess. Not my mess! Have fun with that beekeeper. Heheh. Now, go out there and try your best. ... To do what Really, dear Have you been listening to me at all Eh, what's it matter. Just get out there and behold the magic! Bask and behold, in the mystic moonlight of this magical mountain!
How many times has this happened How many times will it happen again On and on, again and again, eternally recurring... A beekeeper - a hive of bees. A bear, a guide. Me. You. Them. (She glares at the eyes of each of your bees) Him. (She glares up at the mountain). You too! (She glares at the Wind Shrine). You over there. (She glares at Black Bear) And you! (She glares at Mother Bear) ... You! (She glares at Panda Bear) (Panda Bear look [sic] over for a moment) ... .... And him! (She glares at Science Bear) ... You and you! (She glares straight up into the sky) And all of you, ALL of you! (She glares behind your shoulder) How long can this go on How long HAS it gone on Good question. Who knows! Who knows. Not even I know. Or do I Heheh. I don't, unless... But listen here: I have a feeling that it will never end. You will always come back to me. I will always give this quest to you. In so many ways, in ways more distant and yet also more familiar Than we can possibly imagine. This mountain is more my home than I could ever make my home! Each voyage I've made, wasn't a voyage at all - it was a homecoming too! Your bees, when they hatch. They're familiar faces. And all mysteries, and all magics - echoes of our own lives. (She tosses petals into the air) There we go again! Isn't it just like us To swarm around like that, dancing! Dancing! Blow away! Try your best! (She watches the petals float away) You'll be back before you know it! (She takes a [Coconut] out of her [Petal Belt]) (She tosses it off the cliff) (It makes a loud thud and cracks) OFF it goes! Don't worry, that one will be back too. And so will you, dear. This quest shouldn't take too long. But before you go, how about a little you know what.
Beeswarm chart is one-dimensional chart (or plot) - or in other words - a chart that shows all the information on single axis (usually X axis). It display values as a collection of points similar to scatter plot.
For all the plotting and visualization we will use D3.js and plain old Javascript. In case you are not familiar with D3.js - it stand for Data Driven Documents and is Javascript library for manipulating data. Main advantage of D3.js is its flexibility - all it gives you are functions to manipulate data efficiently.
In this article we went deep into implementing a beeswarm chart with D3.js. The takeaway from this article though shouldn't be this specific implementation, but the fact that you might want to consider non-traditional types of charts and plots next time you are visualizing your data, as it might help you better communicate desired information to your audience.
This study presents a hybrid of artificial neural network and artificial bee colony algorithm as an alternative approach to find the optimal initial process parameters in injection molding with the aim of minimizing warpage of molded products. Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm that can be used for multivariable and multimodal function optimization [16]. Artificial neural networks are employed to establish a mathematical approximation between the process parameters and optimization goal in order to replace the expensive and time consuming simulation analysis [10]. Thus, a predictive model for warpage is constructed based on artificial neural networks and finite element analysis software Moldflow. Five process parameters are considered in this study for being studied for many researchers and for being considered significant in the warpage of molded products; therefore, melt temperature, mold temperature, packing pressure, packing time, and cooling time are considered to be the design variables [2-5,9,10,12,13,15]. Likewise, warpage optimization is considered for being one of the most typical and noticeable defects, which impacts appearance and product usage [2,4,5,10,12-15,17]. The following section gives a brief overview of the ABC algorithm; then, the proposed approach is described in section 3. Next, an experimental study is presented to evaluate the performance of the proposed approach; and finally, results and discussions are presented in the last section.
Note: Prior to version 0.10.2, Shiny did not support single-file apps and the ui object and server function needed to be contained in separate scripts called ui.R and server.R, respectively. This functionality is still supported in Shiny, however the tutorial and much of the supporting documentation focus on single-file apps.
Create a new directory named App-1 in your working directory. Then copy and paste the app.R script above into your directory (the scripts from Hello Shiny). When you are finished the directory should look like this:
Open the app.R script in your RStudio editor. RStudio will recognize the Shiny script and provide a Run App button (at the top of the editor). Either click this button to launch your app or use the keyboard shortcut: Command+Shift+Enter (Control+Shift+Enter on Windows).
Beeswarm plots (also called violin scatter plots) are similar to jittered scatterplots, in that they display the distribution of a quantitative variable by plotting points in way that reduces overlap. In addition, they also help display the density of the data at each point (in a manner that is similar to a violin plot). Continuing the previous example
This section describes how results from statistical analyses can be included into the manuscript:It starts with simple numerical values (like a sample mean) and then continues with more-complex output, like figures, tables, and the results from statistical models and hypothesis tests.
Note that long figure captions may flow over the page of a PDF document.There are two approaches to accomodate long figure captions or tall figures.You can adjust the line spacing/font size of the caption or use a separate list of figure captions.As mentioned Adjusting line spacing, you can adjust the line spacing and font size of figure captions.For single-spaced script-size figure captions, add the following to the YAML front matter:
As required by the APA guidelines, tables are deferred to the final pages of the manuscript when creating a PDF.To place tables and figures in your text instead, set the figsintext parameter in the YAML header to yes or true, as I have done in this document.Again, this is not the case in Word documents due to limited pandoc functionality.The bottom line is, Word documents will be less polished than PDF.The resulting documents should suffice to enable collaboration with Wordy colleagues and prepare a journal submission with limited manual labor.
As shown above, table captions can be created by passing a character string to caption = argument within apa_table function (e.g. apa_table(descriptives, caption = \"My table caption.\")).However, we strongly recommend that you use Text references instead:
List elements $estimate, $statistic, and $full_result are intended to be included directly into the body of your manuscript by using inline code chunks.For instance, you could first save the result from apa_print() in an output object
The last element $table is intended to be used to create results tables that may be included in the manuscript via apa_table().It will be most useful for analyses that contain multiple hypothesis tests, as you will see in the next subsections. 59ce067264
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