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notebook Intel Core i Laptops Reviews

notebook Intel Core i Laptops ReviewsThe excellent Dell XPS series gets a highend upgrade in this gold edition with improved performance, but also a highend price to match.

The Lenovo ThinkPad X packs in a new Intel Core i CPU and can run all day depending on how you use it. With a .inch , its just a bit smaller than a inch laptop, and it feels like an excellent compromise for frequent travelers.

HP EliteBook p, Intel Core i .GHz, GB RAM, GB SSD

The inch HP Omen might not look aggressive, but youll have no problems taking down the competition with this fully loaded gaming laptop.

Sonys first ultrabook, the Vaio T, doesnt ll r from the tree of other thin Sony laptops like the Vaio Z, but its r more affordable this is ultrabookasbudgetlaptop, not ultrabook as highend computer.

Refurb HP G Haswell i .GHz Laptop

Lenovos Yseries gaming laptops get new CPUs, plus gamercentric accessories.

HP EliteBook P Core i . GHz, GB RAM, GB HDD, Windows

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The Toshiba Satellite StA comes close to being a great mainstream slim gaming laptop, but its undone by an unimpressive .

Whether you need a inch porle or a inch workhorse, the Dell Inspiron in offers unheardof value for money. You can invest in an external battery pack to extend its battery life.

For something truly different and eyecatching, the OLED on this limited edition Alienware gives it great visual punch, but keep in mind this is not a topend gaming rig.

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With better battery life and performance than the Yoga Pro not to mention a lower price, the Yoga is one of the best hybrid deals around.

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The Acer Predator one of the stest gaming laptops weve tested, and wisely adds extra cooling to handle highend parts in a smaller inch body.

Dell Kaby Lake Workstation, WD TB HDD ,

Current inch MacBook Pro owners wont feel the need to upgrade, but the handful of tweaks included here keep this expensive system at the top of the list for powerful mid laptops.

This Acer Aspire S isnt the most inspiring thin notebook, but its a remarkably practical and costeffective choice.

Despite not decisively beating the competition in any one area, the Samsung Notebook comes close across the board, it a safe, if not exactly exciting choice for a slim inch laptop.

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HPs Envy line has always been a reliable highend PC laptop line, and this new redesign adds some useful features, such as a volume wheel, while keeping the upscale look and feel.

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There may not be a better fullfledged business ultraporle than the ThinkPad X, but more efficient, less expensive, and thinner ultrabooks are the real future of this category.

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The barely porle MSI GTVR, with dual graphics cards and a desktop mechanical keyboard, is for the gamer who wants something different and is willing to pay for it.

notebook SMART Notebook Interactive Viewer

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With SMART Notebook interactive viewer, anyone can open your lessons and view s with sorter, play embedded recordings and Adobe Flash content, write over content in digital ink and interact with widgets, animations and activities. Once SMART Notebook interactive viewer is downloaded, users can open a SMART Notebook file and its attachments without an Internet connection.

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Digit notebook al Music Notebook

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Sermon Outlinesnotebook

No claims of absolute originality are made for this material. As one man said, I milk a lot of cows, but I churn my own butter. Please use these sermons as the Lord leads, but nothing on this site may be used for profit without my expressed, written permission!

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notebookR Markdown The Definitive Guide

By deult, RStudio enables inline output Notebook mode on all R Markdown documents, so you can interact with any R Markdown document as though it were a notebook. If you have a document with which you prefer to use the traditional console method of interaction, you can disable notebook mode by clicking the gear button in the editor , and choosingChunk Output in ConsoleFigure..

FIGURE . Insert a new chunk from the code selected before.

You can use thefig.width,fig., andfigchunk options to manually specify the of rendered plots in the notebook; you can also useknitropts_chunksetfig.width …, fig. …in the setup chunk to to set a deult rendered . Note, however, specifying a chunk manually suppresses the generation of the list, so plots with manually specified s will be red using scaling when the notebook editor is red.

Whenhtml_notebookis the topmost deult format in your YAML metadata, you will see aPreviewbutton in the editor . Clicking it will show you the notebook preview Figure..

FIGURE . Send the R code chunk output to the console.

If you have configured R Markdown previewing to use the Viewer pane as illustrated in Figure., the preview will be automatically updated whenever you save your notebook.

Extract the chunk outputs from the*.nb.htmlfile, and place them appropriately in the editor.

con An environment containing active chunk options and other chunk information.

If you prefer not to have the console hidden when chunks are executed, uncheck the option from the menuTools Global Options R Markdown Hide console automatically when executing notebook chunks.

When an error occurs while a notebook chunk is executing Figure.

The line of code that caused the error will have a red indicator in the editors gutter.

In general, you can provide regular R output in your output source function, butrmarkdownalso provides a number of endpoints for insertion of custom HTML content. These are documented within?html_notebook_output.

You can create a new notebook in RStudio with the menu commandFile New File R Notebook, or by using thehtml_notebookoutput in your documents YAML metadata.

The primary difference is that when executing chunks in an R Markdown document, all the code is sent to the console at once, but in a notebook, only one line at a time is sent. This allows execution to stop if a line raises an error.

Warnings Inside a notebook chunk, warnings are always ed immediately rather than being held until the end, as inoptionswarn .

Use the green button on the of a code chunk that has the tooltip Run Current Chunk, orCtrl Shift EntermacOSCmd Shift Enter to run the current chunk.

There is also aRestart R and Run All Chunksitem in theRunmenu on the editor , which gives you a fresh R session prior to running all the chunks. This is similar to theKnitbutton, which launches a separate R session to compile the document.

FIGURE . Output from an inline R expression in the notebook.

In most cases, it should not be necessary to have the console open while using the notebook, as you can see all of the console output in the notebook itself. To preserve vertical space, the console will be automatically collapsed when you open a notebook or run a chunk in the notebook.

You can view the*.nb.htmlfile in any ordinary web browser. It can also be opened in RStudio; when you open there e.g., usingFile Open File, RStudio will do the following

Using these functions ensures that you produce an R Notebook that can be opened in R frontends e.g., RStudio.

It is also possible to clear or collapse all of the output in the document at once using theCollapse All OutputandClear All Outputmenu items available on the gear menu in the editor Figure..

We can pass ouroutput_sourcealong as part of theoutput_optionslist tormarkdownrender.

If you want your notebook to keep running after an error, you can suppress the first two behaviors by specifyingerror TRUEin the chunk options.

Because R Notebooks are just HTML documents, they can be opened and viewed in any web browser; in addition, hosting environments can be configured to recover and open the source Rmd document, and also recover and chunk outputs as appropriate.

In this section, we describe the internals of the notebook format. It is primarily intended for frontend applications using or embedding R, or other users who are interested in reading and writing documents using the R Notebook format. We recommend that beginners skip this section when reading this book or using notebooks for the first time.

FIGURE . Execute a code chunk read from an external R script.

Code in the notebook is executed with the same gestures you would use to execute code in an R Markdown document

Working directory The current working directory inside a notebook chunk is always the directory containing the notebook.Rmdfile. This makes it easier to use relative paths inside notebook chunks, and also matches the behavior when knitting, it easier to write code that works identically both interactively and in a standalone render.

FIGURE . Insert a new chunk from the code selected before.

When code is executed in the notebook, its output appears beneath the code chunk that produced it. You can clear an inidual chunks output by clicking theXbutton in the upper right corner of the output, or collapse it by clicking the chevron.

When a notebook*.Rmdfile is saved, a*.nb.htmlfile is created alongside it. This file is a selfcontained HTML file which contains both a rendered copy of the notebook with all current chunk outputs suile for on a website and a copy of the*.Rmdfile itself.

Thermarkdownparse_html_notebookfunction provides an intece for recovering and parsing an HTML notebook.

The documents chunk outputs are also stored in an internal RStudio folder beneath the projectsfolder. If you work with a notebook but do not have a project open, the outputs are stored in the RStudio state folder in your home directory the location of this folder varies between thedesktopand theserver.

PressCtrl EntermacOSCmd Enter to run just the current statement. Running a single statement is much like running an entire chunk consisting only of that statement.

List of source chr [] !DOCTYPE html html xmlns … rmd chr [] title R Notebook Stub output html_notebook … header chr [] head meta charsetutf / meta equivContentType content/html; charsetutf / … annotationsList of .. List of .. .. row int .. .. label chr .. .. state chr begin .. .. meta NULL .. List of .. .. row int .. .. label chr .. .. state chr end .. .. meta NULL .. List of .. .. row int .. .. label chr chunk .. .. state chr begin .. .. meta NULL .. List of .. .. row int .. .. label chr source .. .. state chr begin .. .. meta List of .. .. .. data chr “`rn R Coden“` .. List of .. .. row int .. .. label chr source .. .. state chr end .. .. meta NULL .. List of .. .. row int .. .. label chr output .. .. state chr begin .. .. meta List of .. .. .. data chr Custom output for chunk n .. List of .. .. row int .. .. label chr output .. .. state chr end .. .. meta NULL .. List of .. .. row int .. .. label chr source .. .. state chr begin .. .. meta List of .. .. .. data chr “`rn R Logon“` .. List of .. .. row int .. .. label chr source .. .. state chr end .. .. meta NULL .. List of .. .. row int .. .. label chr plot .. .. state chr begin .. .. meta NULL .. List of .. .. row int .. .. label chr plot .. .. state chr end .. .. meta NULL .. List of .. .. row int .. .. label chr chunk .. .. state chr end .. .. meta NULL

While RStudio provides a set of integrated tools for authoring R Notebooks, the notebook file format itself is decoupled from RStudio. Thermarkdownpackage provides several functions that can be used to read and write R Notebooks outside of RStudio.

FIGURE . Select the code to split into a new chunk.

Notebooks are typically selfcontained. However, in some situations, it is preferable to reuse code from an R script as a notebook chunk, as inknitrscode externalization. This can be done by usingknitrread_chunkin your notebooks setup chunk, along with a special chunknameannotation in the R file from which you intend to read code. Here is a minimal example with two files

Output The most obvious difference is that most forms of output produced from a notebook chunk are shown in the chunk output rather than, for example, the RStudio Viewer or the Plots pane. Console output including warnings and messages appears both at the consoleandin the chunk output.

When you execute the empty chunk in the notebookexample.Rmd, code from the external fileexample.Rwill be inserted, and the results ed inline, as though the chunk contained that code Figure..

If you prefer to use the console by deult forallyour R Markdown documents restoring the behavior in previous versions of RStudio, you can makeChunk Output in Consolethe deultTools Options R Markdown Show output inline for all R Markdown documents.

Plots Plots emitted from a chunk are rendered to match the width of the editor at the time the chunk was executed. The of the plot is determined by thegolden ratio. The plots list is saved, too, and the plot is rerendered to match the editors width when the editor is red.

Because all of a chunks output appears beneath the chunk not alongside the statement which emitted the output, as it does in the rendered R Markdown output, it is often helpful to split chunks that produce multiple outputs into two or more chunks which each produce only one output. To do this, select the code to split into a new chunk Figure., and use the same keyboard shortcut for inserting a new code chunk Figure..

Ordinary R Markdown documents are knitted, but notebooks are previewed. While the notebook preview looks similar to a rendered R Markdown document, the notebook previewdoes not execute any of your R code chunks. It simply shows you a rendered copy of the Markdown output of your document along with the most recent chunk output. This preview is generated automatically whenever you save the notebook whether you are viewing it in RStudio or not; see the section beneath on the*.nb.htmlfile for details.

In particular, theconelementslabelandcan be used to help identify which chunk is currently being rendered.

To execute an inline R expression in the notebook, put your cursor inside the chunk and pressCtrl EntermacOSCmd Enter. As in the execution of ordinary chunks, the content of the expression will be sent to the R console for evaluation. The results will appear in a small popup window next to the code Figure..

If it is necessary to execute notebook chunks in a different directory, you can change the working directory forallyour chunks by using theknitrroot.diroption. For instance, to execute all notebook chunks in the grandparent folder of the notebook

To generate an R Notebook, you can usermarkdownrenderand specify thehtml_notebookoutput format in your documents YAML metadata. Documents rendered in this form will be generated with the.nb.htmlfile extension, to indicate that they are HTML notebooks.

Notebook chunks can be inserted quickly using the keyboard shortcutCtrl Alt ImacOSCmd Option I, or via theInsertmenu in the editor .

Any R Markdown document can be used as a notebook, and all R Notebooks can be rendered to other R Markdown document s. A notebook can therefore be thought of as a special execution mode for R Markdown documents. The immediacy of notebook mode makes it a good choice while authoring the R Markdown document and iterating on code. When you are ready to publish the document, you can share the notebook directly, or render it to a publication format with theKnitbutton.

If you want to fully reset the state of the notebook, the itemRestart R and Clear Outputon theRunmenu on the editor will do the job.

Extract the bundled*.Rmdfile, and place it alongside the*.nb.htmlfile.

To ensure chunk outputs can be recovered, the elements of the R Markdown document are enclosed with HTML comments, providing more information on the output. For example, chunk output might be serialized in the form

Execution will stop; the remaining lines of that chunk and any chunks that have not yet been run will not be executed.

Lets try to render this document with a custom output source, so that we can inject custom output for the single chunk within the document. The output source function will accept

This option is only effective when used inside the setup chunk. Also note that, as inknitr, theroot.dirchunk option applies only to chunks; relative paths in Markdown are still relative to the notebooks parent folder.

It is possible to render an HTML notebook with custom chunk outputs inserted in lieu of the result that would be generated by evaluating the associated R code. This can be useful for frontend editors that show the output of chunk execution inline, or for conversion programs from other notebook formats where output is already available from the source format. To cilitate this, one can provide a custom output source tormarkdownrender. Lets investigate with a example

One of the major advantages of R Notebooks compared to other notebook systems is that they are plain files and therefore work well with version control. We recommend checking in both the*.Rmdand*.nb.htmlfiles into version control, so that both your source code and output are available to collaborators. However, you can choose to include only the*.Rmdfile with a.gitignorethat excludes*.nb.html if you want each collaborator to work with their own private copies of the output.

In general, when you execute code in a notebook chunk, it will do exactly the same thing as it would if that same code were d into the console. There are however a few differences

Youll get a warning if you try to change the working directory inside a notebook chunk, and the directory will revert back to the notebooks directory once the chunk is finished executing. You can suppress this warning by using thewarnings FALSEchunk option.

This intece can be used to recover the original Rmd source, and also with some more effort from the frontend the ability to recover chunk outputs from the document itself.

There are other ways to run a batch of chunks if you click the menuRunon the editor , such asRun All,Run All Chunks Above, andRun All Chunks Below.

R Notebooks are HTML documents with data written and encoded in such a way that

An R Notebook is an R Markdown document with chunks that can be executed independently and interactively, with output visible immediately beneath the input. See Figure.for an example.

Note that the*.nb.htmlfile is only created for R Markdown documents that are notebooks i.e., at least one of their output formats ishtml_notebook. It is possible to have an R Markdown document that includes inline chunk output beneath code chunks, but does not produce an*.nb.htmlfile, whenhtml_notebookis not specified as an output format for the R Markdown document.

Open the*.Rmdfile in a new RStudio editor .

We have now generated an R Notebook. Openthis documentin a web browser, and it will show that theoutput_sourcefunction has effectively sidestepped evaluation of code within that chunk, and instead returned the injected result.

R Notebooks are an implementation ofLiterate Programmingthat allows for direct interaction with R while producing a reproducible document with publicationquality output.

… Optional arguments reserved for future expansion.

In notebooks, inline R expressions can only produce not figures or other kinds of output. It is also important that inline R expressions executes quickly and do not have sideeffects, as they are executed whenever you save the notebook.

When you execute code in a notebook, an indicator will appear in the gutter to show you execution progress Figure.. Lines of code that have been sent to R are marked with dark green; lines that have not yet been sent to R are marked with light green. If at least one chunk is waiting to be executed, you will see a progress meter appear in the editors status bar, indicating the number of chunks remaining to be executed. You can click on this meter at any time to jump to the currently executing chunk. When a chunk is waiting to execute, theRunbutton in its will change to a queued icon. If you do not want the chunk to run, you can click on the icon to remove it from the execution queue.notebookR Markdown The Definitive Guide

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