 Nov 2019

rstudiopubsstatic.s3.amazonaws.com rstudiopubsstatic.s3.amazonaws.com

1. Introduction to eXtensible Time Series, using xts and zoo for time series Introducing xts and
question?


github.com github.com
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alittlebookofrfortimeseries.readthedocs.io alittlebookofrfortimeseries.readthedocs.io

This booklet itells you how to use the R statistical software to carry out some simple analyses that are common in analysing time series data.
what is time series?

 Sep 2019

lateraleconomics.com.au lateraleconomics.com.au

Estimated economic benefit of data linkage
the potential value from linking Census data to administrative data sets is only beginning to be realised and holds immense potential.(In other work for the Population Health Research Network, Lateral Economics concluded that data linkage generated over $16 for every dollar invested).

 Aug 2019

labsblog.fsecure.com labsblog.fsecure.com

Security Issues, Dangers And Implications Of Smart Systems

 Jul 2019

www.khanacademy.org www.khanacademy.org

our sum of squares is 41.187941.187941.1879
Just considering the Y, and not the X. Calculating the residuals from the average/mean Y.


www.sthda.com www.sthda.com

it acts as PCA quantitative variables and as MCA for qualitative variables.

 May 2019

www.randhome.io www.randhome.io

Methodology The classic OSINT methodology you will find everywhere is straitforward: Define requirements: What are you looking for? Retrieve data Analyze the information gathered Pivoting & Reporting: Either define new requirements by pivoting on data just gathered or end the investigation and write the report.
Etienne's blog! Amazing resource for OSINT; particularly focused on technical attacks.

 Feb 2019

paleorxiv.org paleorxiv.org

set; if this is higher, the tree 2can be considered to fit the data less well
To test the fit between data and more than one alternative tree, you can just do a bootstrap analysis, and map the results on a neighbournet splits graph based on the same data.
Note that the phangorn library includes functions to transfer information between trees/tree samples and trees and networks:<br/> Schliep K, Potts AJ, Morrison DA, Grimm GW. 2017. Intertwining phylogenetic trees and networks. Methods in Ecology and Evolution (DOI:10.1111/2041210X.12760.)[http://onlinelibrary.wiley.com/doi/10.1111/2041210X.12760/full] – the basic functions and script templates are provided in the associated vignette.

 Dec 2018

wendynorris.com wendynorris.com

Ethnographic findings are not privileged, just particular: another country heard from. To regard them as anything more (or anything less) than that distorts both them and their implications, which are far profounder than mere primitivity, for social theory.
This tension exists in HCI as well.
Interpreted data vs empirical data and how each is systematically analyzed.

 Sep 2018

drive.google.com drive.google.com

Qualitative analysis

 May 2018

hypothes.is hypothes.is

hi there check this link on SAS training and tutorial with the detailed explanation on the Base Training of that along with real time Examples and Projects practices

hi there please check on the Recent Updated SAS Training and Tutorial Course which can explain about the SAS and its integration with the R as well so please go through the Link:

 Apr 2018

davidbpython.com davidbpython.com

sqlite> .mode column sqlite> .headers on
At the start of your session,these will format your sqlite3 output so it is clearer, and add columns headers.

pandas is a Python module used for manipulation and analysis of tabular data.
Introduction to Pandas
Pandas is used to manipulation and analysis of tabular data

pandas official documentation
pandas reference and tutorials include：full docs, 10minutes to pandas, blog tutorials

 Dec 2017

www.nature.com www.nature.com

Statistical and integrative systemlevel analysis of DNA methylation data

 Nov 2017

rafalab.github.io rafalab.github.ioharvardx1

HarvardX Biomedical Data Science Open Online Training

 Sep 2017

bmcbioinformatics.biomedcentral.com bmcbioinformatics.biomedcentral.com

The projection score  an evaluation criterion for variable subset selection in PCA visualization
"variable" typically means gene or locus in the context of biological data.


Local file Local file

Organizations such as Code for America (CfA) rallied support by positioning civic hacking as a mode of direct participation in improving structures of governance. However, critics objected to the involvement of corporations in civic hacking as well as their dubious political alignment and nongrassroots origins. Critical historian Evgeny Morozov (2013a) suggested that “civic hacker” is an apolitical category imposed by ideologies of “scientism” emanating from Silicon Valley. Tom Slee (2012) similarly described the open data movement as coopted and neoliberalist.

 Jul 2017

www.edx.org www.edx.org

Introduction to R for Data Science
Data analysis course using R


www.datacamp.com www.datacamp.com

Learn Data Science Online
Data analysis courses using R and Python
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 May 2017

fivethirtyeight.com fivethirtyeight.com

Analysis of a subreddit for Trump supporters, based on comparisons of the users of various subreddits.

 Dec 2016

article.sciencepublishinggroup.com article.sciencepublishinggroup.com

evidence about obtaining higher productivity by using Agile methods
If higher productivity came from including stakeholders in the frequent development releases, running a complementary scrum team on UX analysis should lead to improvement in quality.

 Sep 2016

www.sr.ithaka.org www.sr.ithaka.org

Activities such as time spent on task and discussion board interactions are at the forefront of research.
Really? These aren’t uncontroversial, to say the least. For instance, discussion board interactions often call for careful, mixedmethod work with an eye to preventing instructor effect and confirmation bias. “Time on task” is almost a codeword for distinctions between models of learning. Research in cognitive science gives very nuanced value to “time spent on task” while the Malcolm Gladwells of the world usurp some research results. A major insight behind CompetencyBased Education is that it can allow for some variance in terms of “time on task”. So it’s kind of surprising that this summary puts those two things to the fore.

 Apr 2016

googleguacamole.wordpress.com googleguacamole.wordpress.com

followed a TAGS Explorer of a conference hashtag

 Mar 2016

amstat.tandfonline.com amstat.tandfonline.com

American Statistical Association statement on pvalues

 Feb 2016

leanpub.com leanpub.com

Books on data science and R programming by Roger D. Peng of Johns Hopkins.


f1000research.com f1000research.com

Since its start in 1998, Software Carpentry has evolved from a weeklong training course at the US national laboratories into a worldwide volunteer effort to improve researchers' computing skills. This paper explains what we have learned along the way, the challenges we now face, and our plans for the future.
http://softwarecarpentry.org/lessons/<br> Basic programming skills for scientific researchers.<br> SQL, and Python, R, or MATLAB.
http://www.datacarpentry.org/lessons/<br> Managing and analyzing data.
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 Jan 2016

courses.csail.mit.edu courses.csail.mit.edu

50 Years of Data Science, David Donoho<br> 2015, 41 pages
This paper reviews some ingredients of the current "Data Science moment", including recent commentary about data science in the popular media, and about how/whether Data Science is really different from Statistics.
The nowcontemplated field of Data Science amounts to a superset of the fields of statistics and machine learning which adds some technology for 'scaling up' to 'big data'.


wilkelab.org wilkelab.org

UT Austin SDS 348, Computational Biology and Bioinformatics. Course materials and links: R, regression modeling, ggplot2, principal component analysis, kmeans clustering, logistic regression, Python, Biopython, regular expressions.


phys.org phys.org

paradox of unanimity  Unanimous or nearly unanimous agreement doesn't always indicate the correct answer. If agreement is unlikely, it indicates a problem with the system.
Witnesses who only saw a suspect for a moment are not likely to be able to pick them out of a lineup accurately. If several witnesses all pick the same suspect, you should be suspicious that bias is at work. Perhaps these witnesses were cherrypicked, or they were somehow encouraged to choose a particular suspect.


rpy2.readthedocs.org rpy2.readthedocs.org

Python interface to the R programming language.<br> Use R functions and packages from Python.<br> https://pypi.python.org/pypi/rpy2

 Jan 2014

onlinelibrary.wiley.com onlinelibrary.wiley.com

Once a searchable atlas has been constructed there are fundamentally two approaches that can be used to analyze the data: one visual, the other mathematical.
