New Ipad, what apps to put on it? Pages: < 1 2 3 4 5 6 > Posted by DataMillDec 12, 2012 at 01:37 PM Outline+ is compatible with OneNote. It can sync notebooks stored in Dropbox. It’s a bit pricey, though. Posted by jamesoffordDec 12, 2012 at 01:39 PM Okay, I’ll answer my own question-Onenote for iOS is not worthwhile. So, back to the list that I had put together and that people have been posting here. Jim Posted by Stephen ZeoliDec 12, 2012 at 02:44 PM You might take a look at MagicalPad, which allows you to click anywhere in a workspace and start writing notes. It costs $4.99—sort of on the cusp of cheap enough to buy on spec to try out. Steve Z. Posted by MadaboutDanaDec 12, 2012 at 02:57 PM OneNote on iPad is pretty good, actually. OneNote+ is very good indeed, but has a couple of weaknesses: it doesn’t support checkbox lists (unlike Microsoft’s client), and although it allows you to type anywhere on the page, it doesn’t support outlines either (indented lists yes, actual folding outlines no).
Guida EndNote Web Università degli Studi di Pavia. Sistema bibliotecario d'Ateneo. Tel. 0382.98.6923 Indice 1. 1.1 Cos'è EndNote Web1.2 Creare un proprio profilo2. 1. 1.1 Cos'è EndNote Web EndNote Web è un programma che permette di gestire bibliografie personali importando fino a 10.000 citazioni bibliografiche dai risultati delle ricerche effettuate nelle basi dati e nei cataloghi on-line. 1.2 Creare un proprio profilo L'accesso a EndNote Web è disponibile all'indirizzo www.myendnoteweb.com oppure dalla base dati Web of Knowledge (WOK), attraverso il bottone in alto My EndNote Web. [Indice] 2. 2.1 Importare citazioni da WOK Effettuata una ricerca su Web of knowledge (WOK) o Web of science (WOS), è possibile selezionare i risultati di proprio interesse e cliccare sul bottone Save to EndNote Web. Se è già stato effettuato l'accesso a EndNote Web le citazioni vengono inviate direttamente, altrimenti il programma chiede di autenticarsi per poter effettuare l'operazione. 2.2 Organizzare le citazioni importate 3.
BayesiaLab 5.1: Analytics, Data Mining, Modeling and Simulation BayesiaLab raises the benchmark in the field of analytics and data mining. The improvements range from small practical features to entirely new visualization techniques that can transform your understanding of complex problems. Bayesia starts off 2013 with countless innovations in the newly-released BayesiaLab 5.1. Here is a small selection of the features that have been introduced in version 5.1: A Comprehensive Mapping Tool offering an entirely new way to visualize and analyze networks Occurrence Analysis for diagnosing sparse conditional probability tables Binary Clustering and Multiple Clustering to create latent variables with logical expressions Enhanced Resource Allocation Optimization and Target Optimization Design of Experiments Tool for generating questionnaires A new Radial Layout, plus the world's first Distance Mapping layout based on Mutual Information Box Plots for analyzing the distributions of numerical variables
Processing Qualitative Research Data With Tinderbox I wrote a while back that I often use a piece of software for the Mac called Tinderbox to churn through messy, unstructured focus group data and see the meaning and inherent structure in a soup of qualitative data. I was fortunate to be asked to present my method at a Tinderbox Weekend last November by Tinderbox auteur Mark Bernstein. It's a complicated process at the start, but once it's set up correctly you can zip through qualitative research data pretty quickly and develop structure in the process. Mark (and Eastgate's Stacy Mason) have been noodging me to make a screencast of this process, and I've finally gotten around to doing just that.
The Personal Wiki System ConnectedText is used in a variety of ways and in many contexts. I am always surprised to hear how other people use it, and the way I use it will probably appear just surprising as their use of the program will be to me. This essay is just my attempt to show how and why I use it for my research. I do not want to suggest that my way is the only or perhaps even the best way of using it. I am a 60 years old academic teacher and I have been using ConnectedText exclusively since August 2005 to keep my research notes and other bits of information. Will Duquette's Notebook (from May 2003 to August 2007). [1] Wikit (from the end of 2002 until May 2003) [2] and between 1985 and the end of 2002: InfoHandler, Ecco, InfoSelect, Packrat, Agenda, and Scraps for DOS, as well as MS Word (in its many incarnations). [3] I also experimented with many other so-called "PIMS," databases and other programs that promised to be useful for keeping research notes, but never really committed to any others.
Introduction to R for Data Mining This on-demand webinar shows how to become immediately productive in R, and covers point-and-click data mining GUI rattle, command line data mining, and Big data mining with RevoScaleR Feb 14, 2013 Webinar, presented by Joseph Rickert, Technical Marketing Manager, Revolution Analytics In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R. Provide an orientation to R's data mining resources Show how to use the "point and click" open source data mining GUI, rattle, to perform the basic data mining functions of exploring and visualizing data, building classification models on training data sets, and using these models to classify new data. Data scientists and analysts using other statistical software as well as students who are new to data mining should come away with a plan for getting started with R. Here is the webinar replay and presentation. Read more.
Desktop Public Edition Compare the desktop editions of the Lavastorm Analytics Engine. Please ensure that your PC meets the following minimum requirements and has administrative privileges to your local machine: RAM - 2 GBHDD - Over 1 GBCPU - Dual Core 2 GHz x86 or x64 processor (Intel/AMD)O/S - Microsoft Windows® XP SP 3, Vista, or 7 (32 or 64-bit) Lavastorm Analytics Library Packs – Enhancements for Your Lavastorm Software The Lavastorm Analytics Library contains business controls (we call them nodes) with pre-built functions for Analytics, Data Acquisition, Correlation, Aggregation, Transformation, Reporting, Publishing, Logistics, Profiling and Patterns, Metadata and Structure, and Interfaces and Adapters. View all nodes and download the pack now.
Hosain Rahman's beautiful failure By Alex Konrad with Ryan Bradley FORTUNE -- The bracelet -- a half-inch wide and rubberized -- represented a decade's work, a thing so small and versatile it could both track its wearer's health, then actively work to improve it. In a sense, the UP was meant to become a part of its user's life, a part of his or her story. An example: The UP measures sleep cycles by keeping track of movements throughout the night, then vibrates its wearer awake after he or she has reached just the right amount of deep sleep. It was the culmination of a nearly decade-long collaboration between Hosain Rahman, co-founder and CEO of Jawbone, and Yves Behar, a gadget designer as famous as Apple's Jonathan Ive. Rahman and Behar had married software and product design to build wearable computing devices before—most successfully with their Bluetooth headsets, the name of which had become synonymous with the company—but never in something quite as ambitious. It was the first week in December 2011.
ANVIL: The Video Annotation Research Tool Summary of strengths and weaknesses of each package in the context of analysing open-ended questions This section draws some comparisons between the four selected CAQDAS packages as an aid for users who may be considering which program to use for analyzing the responses to open-ended survey questions. There is no question of identifying which package is the ‘best’ because they each have different strengths and weaknesses, which may interact differently with the very wide range of circumstances that may be covered by the description “open-ended survey questions” (OEQs). In view of the time that it can take to become familiar with a new software program, we would suggest that if you have been using one of these packages already then that would probably be the best one for you to consider first. All four programs have been used successfully with the trial data so there are few critical weaknesses. The particular packages examined here are ATLAS.ti 6, MAXQDA 2010, NVivo 8, and QDA Miner 3.2. Presentation of the data and ease of reading the texts Use of semi-automation tools Ease of use