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Desktop Migration and Administration Guide
Red Hat Enterprise Linux 7 Desktop Migration and Administration Guide GNOME 3 desktop migration planning, deployment, configuration, and administration in RHEL 7 Last Updated: 2021-05-05 Red Hat Enterprise Linux 7 Desktop Migration and Administration Guide GNOME 3 desktop migration planning, deployment, configuration, and administration in RHEL 7 Marie Doleželová Red Hat Customer Content Services [email protected] Petr Kovář Red Hat Customer Content Services [email protected] Jana Heves Red Hat Customer Content Services Legal Notice Copyright © 2018 Red Hat, Inc. This document is licensed by Red Hat under the Creative Commons Attribution-ShareAlike 3.0 Unported License. If you distribute this document, or a modified version of it, you must provide attribution to Red Hat, Inc. and provide a link to the original. If the document is modified, all Red Hat trademarks must be removed. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, the Red Hat logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries. Linux ® is the registered trademark of Linus Torvalds in the United States and other countries. Java ® is a registered trademark of Oracle and/or its affiliates. XFS ® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. MySQL ® is a registered trademark of MySQL AB in the United States, the European Union and other countries. -
A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research Krzysztof J
bioRxiv preprint first posted online Feb. 12, 2016; doi: http://dx.doi.org/10.1101/039354. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a CC-BY 4.0 International license. A practical guide for improving transparency and reproducibility in neuroimaging research Krzysztof J. Gorgolewski and Russell A. Poldrack Department of Psychology, Stanford University Abstract Recent years have seen an increase in alarming signals regarding the lack of replicability in neuroscience, psychology, and other related fields. To avoid a widespread crisis in neuroimaging research and consequent loss of credibility in the public eye, we need to improve how we do science. This article aims to be a practical guide for researchers at any stage of their careers that will help them make their research more reproducible and transparent while minimizing the additional effort that this might require. The guide covers three major topics in open science (data, code, and publications) and offers practical advice as well as highlighting advantages of adopting more open research practices that go beyond improved transparency and reproducibility. Introduction The question of how the brain creates the mind has captivated humankind for thousands of years. With recent advances in human in vivo brain imaging, we how have effective tools to peek into biological underpinnings of mind and behavior. Even though we are no longer constrained just to philosophical thought experiments and behavioral observations (which undoubtedly are extremely useful), the question at hand has not gotten any easier. These powerful new tools have largely demonstrated just how complex the biological bases of behavior actually are. -
Reproducible Reports with Knitr and R Markdown
Reproducible Reports with knitr and R Markdown https://dl.dropboxusercontent.com/u/15335397/slides/2014-UPe... Reproducible Reports with knitr and R Markdown Yihui Xie, RStudio 11/22/2014 @ UPenn, The Warren Center 1 of 46 1/15/15 2:18 PM Reproducible Reports with knitr and R Markdown https://dl.dropboxusercontent.com/u/15335397/slides/2014-UPe... An appetizer Run the app below (your web browser may request access to your microphone). http://bit.ly/upenn-r-voice install.packages("shiny") Or just use this: https://yihui.shinyapps.io/voice/ 2/46 2 of 46 1/15/15 2:18 PM Reproducible Reports with knitr and R Markdown https://dl.dropboxusercontent.com/u/15335397/slides/2014-UPe... Overview and Introduction 3 of 46 1/15/15 2:18 PM Reproducible Reports with knitr and R Markdown https://dl.dropboxusercontent.com/u/15335397/slides/2014-UPe... I know you click, click, Ctrl+C and Ctrl+V 4/46 4 of 46 1/15/15 2:18 PM Reproducible Reports with knitr and R Markdown https://dl.dropboxusercontent.com/u/15335397/slides/2014-UPe... But imagine you hear these words after you finished a project Please do that again! (sorry we made a mistake in the data, want to change a parameter, and yada yada) http://nooooooooooooooo.com 5/46 5 of 46 1/15/15 2:18 PM Reproducible Reports with knitr and R Markdown https://dl.dropboxusercontent.com/u/15335397/slides/2014-UPe... Basic ideas of dynamic documents · code + narratives = report · i.e. computing languages + authoring languages We built a linear regression model. -
R Markdown Cheat Sheet I
1. Workflow R Markdown is a format for writing reproducible, dynamic reports with R. Use it to embed R code and results into slideshows, pdfs, html documents, Word files and more. To make a report: R Markdown Cheat Sheet i. Open - Open a file that ii. Write - Write content with the iii. Embed - Embed R code that iv. Render - Replace R code with its output and transform learn more at rmarkdown.rstudio.com uses the .Rmd extension. easy to use R Markdown syntax creates output to include in the report the report into a slideshow, pdf, html or ms Word file. rmarkdown 0.2.50 Updated: 8/14 A report. A report. A report. A report. A plot: A plot: A plot: A plot: Microsoft .Rmd Word ```{r} ```{r} ```{r} = = hist(co2) hist(co2) hist(co2) ``` ``` Reveal.js ``` ioslides, Beamer 2. Open File Start by saving a text file with the extension .Rmd, or open 3. Markdown Next, write your report in plain text. Use markdown syntax to an RStudio Rmd template describe how to format text in the final report. syntax becomes • In the menu bar, click Plain text File ▶ New File ▶ R Markdown… End a line with two spaces to start a new paragraph. *italics* and _italics_ • A window will open. Select the class of output **bold** and __bold__ you would like to make with your .Rmd file superscript^2^ ~~strikethrough~~ • Select the specific type of output to make [link](www.rstudio.com) with the radio buttons (you can change this later) # Header 1 • Click OK ## Header 2 ### Header 3 #### Header 4 ##### Header 5 ###### Header 6 4. -
Installing a Real-Time Linux Kernel for Dummies
Real-Time Linux for Dummies Jeroen de Best, Roel Merry DCT 2008.103 Eindhoven University of Technology Department of Mechanical Engineering Control Systems Technology group P.O. Box 513, WH -1.126 5600 MB Eindhoven, the Netherlands Phone: +31 40 247 42 27 Fax: +31 40 246 14 18 Email: [email protected], [email protected] Website: http://www.dct.tue.nl Eindhoven, January 5, 2009 Contents 1 Introduction 1 2 Installing a Linux distribution 3 2.1 Ubuntu 7.10 . .3 2.2 Mandriva 2008 ONE . .6 2.3 Knoppix 3.9 . 10 3 Installing a real-time kernel 17 3.1 Automatic (Ubuntu only) . 17 3.1.1 CPU Scaling Settings . 17 3.2 Manually . 18 3.2.1 Startup/shutdown problems . 25 4 EtherCAT for Unix 31 4.1 Build Sources . 38 4.1.1 Alternative timer in the EtherCAT Target . 40 5 TUeDACs 43 5.1 Download software . 43 5.2 Configure and build software . 44 5.3 Test program . 45 6 Miscellaneous 47 6.1 Installing ps2 and ps4 printers . 47 6.1.1 In Ubuntu 7.10 . 47 6.1.2 In Mandriva 2008 ONE . 47 6.2 Configure the internet connection . 48 6.3 Installing Matlab2007b for Unix . 49 6.4 Installing JAVA . 50 6.5 Installing SmartSVN . 50 6.6 Ubuntu 7.10, Gutsy Gibbon freezes every 10 minutes for approximately 10 sec 51 6.7 Installing Syntek Semicon DC1125 Driver . 52 Bibliography 55 A Menu.lst HP desktop computer DCT lab WH -1.13 57 i ii CONTENTS Chapter 1 Introduction This document describes the steps needed in order to obtain a real-time operating system based on a Linux distribution. -
HGC: a Fast Hierarchical Graph-Based Clustering Method
Package ‘HGC’ September 27, 2021 Type Package Title A fast hierarchical graph-based clustering method Version 1.1.3 Description HGC (short for Hierarchical Graph-based Clustering) is an R package for conducting hierarchical clustering on large-scale single-cell RNA-seq (scRNA-seq) data. The key idea is to construct a dendrogram of cells on their shared nearest neighbor (SNN) graph. HGC provides functions for building graphs and for conducting hierarchical clustering on the graph. The users with old R version could visit https://github.com/XuegongLab/HGC/tree/HGC4oldRVersion to get HGC package built for R 3.6. License GPL-3 Encoding UTF-8 SystemRequirements C++11 Depends R (>= 4.1.0) Imports Rcpp (>= 1.0.0), RcppEigen(>= 0.3.2.0), Matrix, RANN, ape, dendextend, ggplot2, mclust, patchwork, dplyr, grDevices, methods, stats LinkingTo Rcpp, RcppEigen Suggests BiocStyle, rmarkdown, knitr, testthat (>= 3.0.0) VignetteBuilder knitr biocViews SingleCell, Software, Clustering, RNASeq, GraphAndNetwork, DNASeq Config/testthat/edition 3 NeedsCompilation yes git_url https://git.bioconductor.org/packages/HGC git_branch master git_last_commit 61622e7 git_last_commit_date 2021-07-06 Date/Publication 2021-09-27 1 2 CKNN.Construction Author Zou Ziheng [aut], Hua Kui [aut], XGlab [cre, cph] Maintainer XGlab <[email protected]> R topics documented: CKNN.Construction . .2 FindClusteringTree . .3 HGC.dendrogram . .4 HGC.parameter . .5 HGC.PlotARIs . .6 HGC.PlotDendrogram . .7 HGC.PlotParameter . .8 KNN.Construction . .9 MST.Construction . 10 PMST.Construction . 10 Pollen . 11 RNN.Construction . 12 SNN.Construction . 12 Index 14 CKNN.Construction Building Unweighted Continuous K Nearest Neighbor Graph Description This function builds a Continuous K Nearest Neighbor (CKNN) graph in the input feature space using Euclidean distance metric. -
GNOME 3.12 Gnome 3.12 Do You Have a Shiny Touchscreen Laptop? Ben Everard Thinks He May Have Found the Right Desktop Environment for You
REVIEWS GNOME 3.12 Gnome 3.12 Do you have a shiny touchscreen laptop? Ben Everard thinks he may have found the right desktop environment for you. nome 3.12 is the latest stable incarnation of has received an overhaul and is getting closer in terms DATA the Gnome 3 desktop environment, which of function to the Ubuntu Software Centre, which in includes the Gnome Shell desktop and a range our opinion is the best of such applications for Linux. Web G www.gnome.org of core applications, most of which have seen some It still has a little way to go, but it’s looking good so far. Developer form of improvement. Support for high resolution (HiDPI) screens is The Gnome Project One of these integrated apps is the Videos significantly better than in 3.10, and it’s certainly worth Price application, which has been given a thoroughly taking a look at if you’re struggling to get the best out Free under the GPL modern look with floating controls and links to online of your expensive monitor. This comes as the Gnome video sources. In fact, integration with online services team have been doing excellent work in making the seems to be a focus point for the Gnome team at the desktop look more beautiful. We may even go so far moment. Support for the Pocket app, which is a way as to say that Gnome 3.12 has the most attractive for users to save online content for later perusal, has default state of any Linux desktop. -
Rmarkdown : : CHEAT SHEET RENDERED OUTPUT File Path to Output Document SOURCE EDITOR What Is Rmarkdown? 1
rmarkdown : : CHEAT SHEET RENDERED OUTPUT file path to output document SOURCE EDITOR What is rmarkdown? 1. New File Write with 5. Save and Render 6. Share find in document .Rmd files · Develop your code and publish to Markdown ideas side-by-side in a single rpubs.com, document. Run code as individual shinyapps.io, The syntax on the lef renders as the output on the right. chunks or as an entire document. set insert go to run code RStudio Connect Rmd preview code code chunk(s) Plain text. Plain text. Dynamic Documents · Knit together location chunk chunk show End a line with two spaces to End a line with two spaces to plots, tables, and results with outline start a new paragraph. start a new paragraph. narrative text. Render to a variety of 4. Set Output Format(s) Also end with a backslash\ Also end with a backslash formats like HTML, PDF, MS Word, or and Options reload document to make a new line. to make a new line. MS Powerpoint. *italics* and **bold** italics and bold Reproducible Research · Upload, link superscript^2^/subscript~2~ superscript2/subscript2 to, or attach your report to share. ~~strikethrough~~ strikethrough Anyone can read or run your code to 3. Write Text run all escaped: \* \_ \\ escaped: * _ \ reproduce your work. previous modify chunks endash: --, emdash: --- endash: –, emdash: — chunk run options current # Header 1 Header 1 chunk ## Header 2 Workflow ... Header 2 2. Embed Code ... 11. Open a new .Rmd file in the RStudio IDE by ###### Header 6 Header 6 going to File > New File > R Markdown. -
Statistics with Free and Open-Source Software
Free and Open-Source Software • the four essential freedoms according to the FSF: • to run the program as you wish, for any purpose • to study how the program works, and change it so it does Statistics with Free and your computing as you wish Open-Source Software • to redistribute copies so you can help your neighbor • to distribute copies of your modified versions to others • access to the source code is a precondition for this Wolfgang Viechtbauer • think of ‘free’ as in ‘free speech’, not as in ‘free beer’ Maastricht University http://www.wvbauer.com • maybe the better term is: ‘libre’ 1 2 General Purpose Statistical Software Popularity of Statistical Software • proprietary (the big ones): SPSS, SAS/JMP, • difficult to define/measure (job ads, articles, Stata, Statistica, Minitab, MATLAB, Excel, … books, blogs/posts, surveys, forum activity, …) • FOSS (a selection): R, Python (NumPy/SciPy, • maybe the most comprehensive comparison: statsmodels, pandas, …), PSPP, SOFA, Octave, http://r4stats.com/articles/popularity/ LibreOffice Calc, Julia, … • for programming languages in general: TIOBE Index, PYPL, GitHut, Language Popularity Index, RedMonk Rankings, IEEE Spectrum, … • note that users of certain software may be are heavily biased in their opinion 3 4 5 6 1 7 8 What is R? History of S and R • R is a system for data manipulation, statistical • … it began May 5, 1976 at: and numerical analysis, and graphical display • simply put: a statistical programming language • freely available under the GNU General Public License (GPL) → open-source -
Writing Reproducible Reports Knitr with R Markdown
Writing reproducible reports knitr with R Markdown Karl Broman Biostatistics & Medical Informatics, UW–Madison kbroman.org github.com/kbroman @kwbroman Course web: kbroman.org/AdvData I To estimate a p-value? I To estimate some other quantity? I To estimate power? How many simulation replicates? 2 I To estimate a p-value? I To estimate some other quantity? How many simulation replicates? I To estimate power? 2 I To estimate some other quantity? How many simulation replicates? I To estimate power? I To estimate a p-value? 2 How many simulation replicates? I To estimate power? I To estimate a p-value? I To estimate some other quantity? 2 Data analysis reports I Figures/tables + email I Static Word document I LATEX + R ! PDF I R Markdown = knitr + Markdown ! Web page 3 What if the data change? What if you used the wrong version of the data? 4 rmarkdown.rstudio.com knitr in a knutshell kbroman.org/knitr_knutshell 5 knitr in a knutshell kbroman.org/knitr_knutshell rmarkdown.rstudio.com 5 knitr code chunks Input to knitr: We see that this is an intercross with `r nind(sug)` individuals. There are `r nphe(sug)` phenotypes, and genotype data at `r totmar(sug)` markers across the `r nchr(sug)` autosomes. The genotype data is quite complete. ```{r summary_plot, fig.height=8} plot(sug) ``` Output from knitr: We see that this is an intercross with 163 individuals. There are 6 phenotypes, and genotype data at 93 markers across the 19 autosomes. The genotype data is quite complete. ```r plot(sug) ```  6 html <!DOCTYPE html> <html> <head> <meta charset=utf-8"/> <title>Example html file</title> </head> <body> <h1>Markdown example</h1> <p>Use a bit of <strong>bold</strong> or <em>italics</em>. -
How to Modify PDF Documents? Seth Kenlon
Modifying PDFs | Linux Starter Kit How to modify PDF documents? Seth Kenlon he Portable Document Format, or PDF, Evince is a document standard developed by As a part of the GNOME Desktop Environ- TAdobe to help ensure that when a user ment (which Ubuntu’s Unity uses as its base), prints, they get exactly what they see on the Evince is the default PDF viewer on Ubuntu screen. They are used as “pre-flight” tests Linux. It allows you to do all of the usual PDF in graphics design, or as convenient ways to things like read, rotate, resize for viewing, sent documents (with embedded fonts and and well as a few advanced features. graphics) across a network. One problem with PDFs is that there PDFs also get abused quite a lot; they are many different ways to create them but are often considered an e-book format even not much of a way to tell what feature set a though they don’t feature the re-sizing and particular document actually contains. For re-flowing capabilities of true e-book formats instance, it’s possible to embed text into a like e-pub. PDFs are, as their name states, scanned set of images in a PDF (using OCR meant to be digital versions of paper with all technology), but not everyone does this. of its advantages as well as disadvantages. So you might open one PDF document of a Sometimes you’ll a need to modify PDFs. scanned text book and discover that Evince Adobe itself successfully pushed PDF as a can highlight and copy all of the text on a universal, cross-platform standardized format, page. -
Official User's Guide
Official User Guide Linux Mint 18 Cinnamon Edition Page 1 of 52 Table of Contents INTRODUCTION TO LINUX MINT ......................................................................................... 4 HISTORY............................................................................................................................................4 PURPOSE...........................................................................................................................................4 VERSION NUMBERS AND CODENAMES.....................................................................................................5 EDITIONS...........................................................................................................................................6 WHERE TO FIND HELP.........................................................................................................................6 INSTALLATION OF LINUX MINT ........................................................................................... 8 DOWNLOAD THE ISO.........................................................................................................................8 VIA TORRENT...................................................................................................................................9 Install a Torrent client...............................................................................................................9 Download the Torrent file.........................................................................................................9