Let us R

[Neeraj Kaushik]

Dear Friends

It's the time to learn the new and wonderful things. Let's start with R.

R is a programming language from OPEN SOURCE Community. It was developed by Ross Ihaka and Robert Gentleman (Can you see why 'R' seems perfect name for this language :-)

Anything and Everything can be done in R but I shall discuss only the statistical portion of this vast ocean.

It is important to remember that earlier R was CUI (Character User Interface like MS-DOS) but now its partly GUI (Graphic User Interface). 

The first video (about downloading and installing this software) is available on https://youtu.be/1mwQvfXrqEY

Happy Learning

------------
Thanks & Regards

Dr Neeraj Kaushik
Associate Professor
Department of Business Administration
NIT Kurukshetra

[mihir joshi]

Thank you so much sir. Hope to see the use of R for Sem from your videos that's a wonderful new year start. 

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[Simple Arora]

Thank you so much sir. Loads of gratitude to you for keeping us scholars updated with every new development in the field of research.

Thank you Sir.  Looking forward to learning R under your guidance.

Regards

Simple Arora

--

[raiswa saha]

Thank you so much sir

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--

"Develop a passion for learning. If you do, you will never cease to grow"

Thanks & Regards

Raiswa Saha
Ph. D Research Scholar 
SRM University

Plot No. 39, Rajiv Gandhi Education City Delhi-NCR, Sonepat 

Haryana 131029

Mobile: 7838206157

[Dr. Rudra Rameshwar]

Hi All,

Great move by Dr. Neeraj Ji in the beginning of New Year 2018 !! 

Appreciable efforts by him always for a good cause in this novel profession to learn and give or provide knowledge :) Keep it up !!

Please refer some links outlined here in reference to learn R tool effectively, rest would be covered by Dr. Neeraj Ji in the times to come as per his convenience.

https://www.rstudio.com/online-learning/#R
https://www.tutorialspoint.com/r/
https://www.computerworld.com/article/2497143/business-intelligence/business-intelligence-beginner-s-guide-to-r-introduction.html
https://www.youtube.com/watch?v=LjuXiBjxryQ

While getting his mail, now my past memories are refreshed as I have been trained and specialized of R tool training at Tel Aviv Univ (TAU), Israel (Recanati Business School) - one of the top rated university/business school in the world (ranked among 20 every year in World's ranking by accreditation agencies). I'm humbled to be associated with such great universities, people and worked with scholars of management and psychology as well. One should visit this university, if time permit in some formal tie-ups with them in research and other engagement in this year or later.

Overall, it was a wonderful experience learning R there and played with data.

Being an open source, R tool has greater advantages using by scholars, academicians, statisticians and faculties in solving their research problems significantly. See some advantages below that how R and Rattle can help us.

Why R and Rattle ?

R and Rattle are free software in terms of allowing anyone the freedom to do as they wish with them. This is also referred to as open source software to distinguish it from closed source software, which does not provide the source code. Closed source software usually has quite restrictive licenses associated with it, aimed at limiting our freedom using it. This is separate from the issue of whether the software can be obtained for free (which is often, but not necessarily, the case for open source software) or must be purchased. R and Rattle can be obtained for free.

This is a common misunderstanding about the concept of free and open source software. R, being free and open source software, is in fact a peer reviewed software product that a number of the worlds top statisticians have developed and others have reviewed. In fact, anyone is permitted to review the R source code. Over the years, many bugs and issues have been identified and rectified by a large community of developers and users.

Moving back to R specially, many have identified the pros and cons of using this statistical software package. We list some of the advantages with using R:

1. R is the most comprehensive statistical analysis package available. It incorporates all of the standard statistical tests, models, and analyses, as well as providing a comprehensive language for managing and manipulating data. New technology and ideas often appear first in R.

2. R is a programming language and environment developed for statistical analysis by practicing statisticians and researchers. It reflects well on a very competent community of computational statisticians.
ˆ
3. R is now maintained by a core team of some 19 developers, including some very senior statisticians. The graphical capabilities of R are outstanding, providing a fully programmable graphics language that surpasses most other statistical and graphical packages.
ˆ
4. The validity of the R software is ensured through openly validated and comprehensive governance as documented for the US Food and Drug Administration (R Foundation for Statistical Computing, 2008). Because R is open source, unlike closed source software, it has been reviewed by many internationally renowned statisticians and computational scientists.
ˆ
5. R is free and open source software, allowing anyone to use and, importantly, to modify it. R is licensed under the GNU General Public License, with copyright held by The R Foundation for Statistical Computing.
ˆ
6. R has no license restrictions (other than ensuring our freedom to use it at our own discretion), and so we can run it anywhere and at any time, and even sell it under the conditions of the license.

7. Anyone is welcome to provide bug fixes, code enhancements and new packages and the wealth of quality packages available for R is a testament to this approach to software development and sharing.

8. ˆR has over 4800 packages available from multiple repositories specializing in topics like econometric, data mining, spatial analysis and bio-informatics.
ˆ
9. R is cross-platform. R runs on many operating systems and different hardware. It is popularly used on GNU/Linux, Macintosh, and Microsoft Windows, running on both 32 and 64 bit processors.

ˆ10. R plays well with many other tools, importing data, for example, from CSV files, SAS, and SPSS, or directly from Microsoft Excel, Microsoft Access, Oracle, MySQL, and SQLite. It can also produce graphics output in PDF, JPG, PNG, and SVG formats, and table output for LATEX and HTML.
   

Whilst the advantages might flow from the pen with a great deal of enthusiasm, it is useful to note some of the disadvantages or weaknesses of R, even if they are perhaps transitory!

ˆ

1. R has a steep learning curve|it does take a while to get used to the power of R-but no steeper than for other statistical languages.

ˆ

2. R is not so easy to use for the novice. There are several simple-to-use graphical user interfaces (GUIs) for R that encompass point-and-click interactions, but they generally do not have the polish of the commercial offerings.

ˆ

3. Documentation is sometimes patchy and terse, and impenetrable to the non-statistician. However, some very high-standard books are increasingly plugging the documentation gaps.

ˆ

4. The quality of some packages is less than perfect, although if a package is useful to many people, it will quickly evolve into a very robust product through collaborative efforts.

5. There is, in general, no one to complain to if something doesn't work. R is a software application that many people freely devote their own time to developing. Problems are usually dealt with quickly on the open mailing lists, and bugs disappear with lightning speed. Users who do require it can purchase support from a number of vendors internationally.

ˆ

6. Many R commands give little thought to memory management and so R can very quickly consume all available memory. This can be a restriction when doing data mining. There are various solutions including using 64 bit operating systems that can access much more memory than 32 bit ones.

Have a nice time and great research year ahead with wonderful achievements in your life using latest tools and techniques.

PS: Happy learning, researching with confidence and smile. In case things does not work, don't be panic. Life is not ending here rather its a great start and look forward always, help others through sharing knowledge in events like FDPs, MDPs, Workshops, Seminars !!

With best regards.

Rudra

--

Dr. Rudra Rameshwar

[Ph.D. (I.I.T. Roorkee), D.B.E. (E.D.I.I. Ahmedabad), M.Tech. (Energy Systems - I.I.T. Roorkee),

B.Tech. (Electrical Engg. - D.E.I. Agra), B.Sc. (Physics & Mathematics Majors - D.E.I. Agra)]

Management Faculty | Coordinator - Summer Internships, Training and Placements | Coordinator - Environment & Sustainability Club
Thapar School of Management, Thapar Institute of Engineering & Technology (Deemed University) Patiala - 140 507 Punjab, INDIA
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Think Green! Save our Planet!! Please consider your environmental responsibility before printing this email.

--

[uma gulati]

Respected Neeraj Sir

big thanks

really no words to express my gratitude.

my enormous respect to you.

really a guru is making our path easy. because many books present these techniques in very different way whereas you have a different style to present it.

after watching your videos I feel things are not that difficult

guru ke charon me mera pranam

regards

Dr.Uma

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[Daman]

Thank you so much sir for the first video on R . Thanks for  updating us with new tools and techniques. Hope to see more in future. Salute to u selfless effort.

Happy learning

Regards

Ripudaman Kaur

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[Neeraj Kaushik]

Dear Friends

Long back on Sept 26, 2016, our friend Dr Nisha Arora has shared her work on Working on R on https://goo.gl/pX8jR3

I strongly recommend her ppts to everyone as they provide every single detail of installation (Screenshots are given) as well as Uni-variate, Bi-variate statistics.

Thanks to Dr Nisha for providing such detailed valuable work. I shall cover only a portion (in YouTube videos) of what she's already shared.

Regards

Neeraj

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[Neeraj Kaushik]

R Part-2 Interface of R Studio: https://youtu.be/TpolYE6Cv7o

Happy Learning

[Suman Nagpal]

Thanks a lot Sir for the worthy information. Looking forward for learning R from you.

Regards

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[Sunita Arora]

Just watched the videos. Wonderful as always.

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[Asha Chawla]

Very useful for new learners.

--

With Regards

Dr. Asha Chawla
Associate Professor in Commerce
G.V.M.Girls College, Sonepat, Haryana
Contact no.: 9416935333

[Neeraj Kaushik]

R Studio Part-3 Importing file in R Studio: https://youtu.be/OZJ4_KmBmN8

Happy Learning

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[manoj kumar]

Thanks sir

Lots of learn

[Neeraj Kaushik]

R Studio Part-4 Introduction to variables in R Studio: https://youtu.be/XHksU4X0BTk

On Tue, Jan 2, 2018 at 10:18 AM, Suman Nagpal <suma...@gmail.com> wrote:

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[Vinay Kumar]

Thank you so very much Sir!

I owe all my research knowledge to you.

My paper in IIM Bangalore in International conference on Business Analytics and Intelligence was selected only because you provided the SEM knowledge through Video.

at IIMB I learned that R & Python are very much needed for Business Analytics, which is the future of the business.

Now we will be more resourceful!!

Thanks a lot to teach us R.

Thanks and Regards :)

Dr. Vinay Kumar

+91 8983 020 882

LinkedIn Profile:

• https://in.linkedin.com/pub/vinay-kumar/71/323/746

-------------------------------------------------- 

Google Scholar profile:

https://scholar.google.co.in/citations?hl=en&imq=Vinay+Kumar&btnA=1&user=ruCb8LAAAAAJ

-------------------------------------------------- 

SSRN Profile: 
http://ssrn.com/author=1847003 
--------------------------------------------------

ResearchGate Profile: 

https://www.researchgate.net/profile/Vinay_Kumar138

[Sunita Arora]

Really amazing videos, I never thought of analysing data with R, because of it's complexity, but you have taught R in s very simple way. Now R is not horrible.

[Neeraj Kaushik]

R/Sunita Mam

R is very easy and interesting. I was watching some videos on R and found that people use R for Financial Econometrics as well as Panel Data Regression. Whatever we can do in other software, we can do it in R with much ease and accuracy of results.

@Vinay:

Thanks for the kind words Vinay. I'm sharing whatever I've got from my teachers. I had the rare privilege of meeting with and learning from the best teachers and human beings.

I'm learning R from Marin: https://goo.gl/sFBML7 and he's an excellent teacher.

I'm trying to even simply the concepts in the light of the requirements of scholars of Management and commerce.

@Asha Mam:
Together we've to learn a lot and serve humanity by sharing this knowledge.

Regards

[Neeraj Kaushik]

R Studio Part-5 Univariate Analysis in R Studio: https://youtu.be/5HPv45WFjXY

Happy Learning

[Neeraj Kaushik]

R Studio Part-6.1 Bi-variate Analysis Cross-tabulation and Chi square test in R Studio: 

https://youtu.be/if6FNw-PO1Y

R Studio Part-6.2 Bi-variate Analysis Coss-tabulation and Chi square test in R Studio:

https://youtu.be/MaAqI28wEj0

Happy Learning

[Neeraj Kaushik]

Sunday Special: 

R Studio Part-7.1 One-Sample t-test: https://youtu.be/8jF8heq_JPQ

R Studio  Part 7.2 Two Independent Sample t-test: https://youtu.be/QSgLJthh930

R Studio Part-7.3 Two Related Sample t-test (Paired T-test): https://youtu.be/ycdyGibA6ZE

Happy Learning

[Ashutosh Gaur]

Respected Prof Dr. Neeraj Kaushik 

Your Sunday special youtube vedio is not available. Please guide. 

Regards 

AshutoshGaur 

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[Neeraj Kaushik]

Regrets for the problem.

These are available now.

[ishika choudhary]

Thank you so much sir..

[Ashutosh Gaur]

Thank you.

Regards 

Ashutosh 

[Neeraj Kaushik]

R Studio Part-8 Correlation Coefficient: https://youtu.be/_fA9DHNjRBk

Happy Learning

[aditya gupta]

Dear Sir,

Thank you, Sir, for sharing information.

With best wishes,

 

Aditya Gupta

[Neeraj Kaushik]

R Studio Part-9.1 Simple Linear Regression and its Assumptions: https://youtu.be/AjJcd6Nrd5Y

Happy Learning

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5. Never write words like URGENT in ur posts. People will help them when they are free.
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[Sunita Arora]

Wonderful videos

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[Neeraj Kaushik]

R Studio Part-9.2 Multiple Linear Regression: https://youtu.be/OQ6sqKLTzxI

R Studio Part-9.3 Curvi-linear Regression: https://youtu.be/gnFjPwL623w

Happy Learning

[Neeraj Kaushik]

R Studio Part-10 Linear Discriminant Analysis: https://youtu.be/S9i4uF5D1O4

Happy Learning

[Neeraj Kaushik]

R Studio Part-11 Binary Regression: https://youtu.be/lCRo95Kffb0

Happy Learning

[Neeraj Kaushik]

R Studio Part-12 Select Case Option: https://youtu.be/SykxbgtlEnw

Happy Learning

[Neeraj Kaushik]

Dear Friends

I hope you're able to connect to the R-Studio. Now that we've completed the Bi-variate Analysis, before going ahead with the Multi-variate Analysis, let's pass through the colorful world of charts in R-Studio.

From today I'm starting Charts in R-Studio.

R-Studio provides numerous charts, so I've tried to classify them on the basis of One or Two variables as well as their measurement. For this, I made a powerpoint presentation (Attached). Next 8 videos are of the 8 type of charts.

Starting with Uni-variate charts (Non-metric measurement):

R Studio Part-13 Barplot: https://youtu.be/YNVFVV2iaS4

R Studio Part-14 Pie chart: https://youtu.be/BiUDZWwMJwA

Happy Learning

 

[Neeraj Kaushik]

Bivariate Analysis with both Non-metric measurement:

R Studio Part-15 Clustered Bar chart: https://youtu.be/DOerFlZ7wy4

Happy Learning

[Neeraj Kaushik]

Metric Measurement (Plots for determining variability & Outliers):

R-Studio Part-16-Box plot: https://youtu.be/qG3gvn2brj0

Happy Learning

[Neeraj Kaushik]

Part-17 will be published later.

R-Studio Part-18 Histogram: https://youtu.be/YpNgXVXHx68

Happy Learning

[Neeraj Kaushik]

R-Studio Part-17 Stem and Leaf plot: https://youtu.be/6AsPdVDUy8I

Happy Learning

[Neeraj Kaushik]

R-Studio Part-19.1 Plot: https://youtu.be/vKprGjqIy30

Happy Learning

[Neeraj Kaushik]

R-Studio Part-20 Lines in Plot: https://youtu.be/6bmfYJ5B_CA

Happy Learning

[Neeraj Kaushik]

Dear Friends

While reviewing the R-playlist, I found many gaps in between. So I tried to fill in those gaps by some additional videos.

Starting again with the Basics of R and packages:

R-Studio Part-2.2 Basics of R (Packages, Function and Variables): https://youtu.be/jXpp6YnyVq8

Plz feel free to ask for the problems you're encountering in installation, packages or anything else.

Happy Learning

Neeraj

[Neeraj Kaushik]

R-Studio Part-4.2 Value Label in R Studio: https://youtu.be/DW-Mnij7gR8

Happy Learning

[Neeraj Kaushik]

R-Studio Part-5.2 Univariate Analysis with one or more categorical variable in R Studio: 

https://youtu.be/UkrRLpDhetU

R-Studio Part-5.3 Univariate Analysis Skewness, Kurtosis and Normality tests in R Studio:

https://youtu.be/CjFBUK4XjrQ

Happy Learning

[Neeraj Kaushik]

R-Studio Part-20.2 Reference Lines in Plot: https://youtu.be/P2cV9Gn4wf4

Happy Learning

[agarwal...@gmail.com]

Thank You very much sir for sharing this wonderful lecture series on R. You have made it quite easy to understand and helpful for faculty members like me.

[Neeraj Kaushik]

R-Studio Part 9.4 Step-wise method in Multiple Regression: https://youtu.be/l9A1HPdaUbo

Happy Learning

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[Neeraj Kaushik]

R-Studio Part-21 Cronbach Alpha: https://youtu.be/5_lLj2b1Xas

Happy Learning

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[Neeraj Kaushik]

Dear Friends

I hope you're enjoying the journey of R as much as I'm enjoying.

So far we've covered the 3 phases in R:

1. Installation of R and R-Studio, the concept of Packages, Functions, Variables.

2. Uni-variate and Bi-variate Analysis

3. Charts in R

Now we can start our journey in the world of Multi-variate Analysis (Though I've already discussed some parts of it in Multiple Regression (Part-9.2), LDA (Part-10), Logistics Regression (Part-11) and Stepwise Method of Regression (Part-9.4), but now we can start in an official manner).

The first one, to start, is Factor Analysis. One R-Studio Part-21 Cronbach Alpha: https://youtu.be/5_lLj2b1Xas is already Public.  The next 2 videos shd be seen together. 

R-Studio Part-22 EFA Assumptions  KMO and Bartlett's test: https://youtu.be/Qf0Jp5NLYGA

R-Studio Part-23 EFA  (Principal Component Analysis): https://youtu.be/0KokmKuXsSs 

Happy Learning

[Neeraj Kaushik]

Dear Friends

"psych" package in R is a wonderful package which contains functions which are used in  Procedures for Psychological, Psychometric, and Personality (Read details on https://cran.r-project.org/web/packages/psych/psych.pdf)

This package provides functions for Cronbach Alpha, EFA, CFA etc. I recently found function cor.ci which table of Correlation Coefficients with color coding.

I've explained it on https://youtu.be/pFeaRceu_ps

Hope you'll find it useful and interesting.

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

While reviewing the R-Studio playlist, surprisingly I found that I've not discussed the concept of One-way ANOVA, Two-way ANOVA or the Non-parametric tests. After completing t-tests, I directly moved to Correlation and Regression and forget to touch these concepts.

Anyway, I've filled in the gaps and these three videos are explained on following links:

R-Studio Part 7.4 One way ANOVA: https://youtu.be/61lPRa-AxxM

R-Studio Part 7.5 Two way ANOVA: https://youtu.be/p9UG6A2-SW8

R-Studio Part 7.6 Non-parametric tests: https://youtu.be/BgDkhv9g-p0 

Happy Learning

[Er. Vaibhav Agarwal]

Thank You sir.

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[Neeraj Kaushik]

Dear Friends

In my exploration of r, every now and then I found new packages which make our work even simpler. 

Another wonderful package: summarytool

I've explained its 4 functions on https://youtu.be/s-6xt28RyS4

Happy Learning

Neeraj

Thank you.

Regards 

Ashutosh 

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[Neeraj Kaushik]

Gud mrng everyone

My this playlist has become just like Avenger Series movies: Sometimes sequels and other time prequels. 

Continuing with the sequel, i.e. multivariate analysis, I've explained the Hierarchical Cluster Analysis on: https://youtu.be/2LowUOIckBw

Happy Learning

[priyanka rathee]

Dear Sir

Kindly explain the implementation of conditional probability and bay's theorem using R. 

Thank you.

Regards 

Ashutosh 

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Thanks & Regards

Priyanka

Chairperson

IEEE Young Professionals,

 Delhi Section

Assistant Professor

Deptt of Computer Science

Bhagini Nivedita College

University of Delhi

Find me on linkedin here: www.linkedin.com/in/priyanka-rathee-31066667

[Neeraj Kaushik]

Dear Priyanka

I work only on statistical analysis. You may learn this from https://www.rdocumentation.org/packages/LaplacesDemon/versions/16.1.1/topics/BayesTheorem

Best wishes

Thank you.

Regards 

Ashutosh 

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Thanks & Regards

Priyanka

Chairperson

IEEE Young Professionals,

 Delhi Section

Assistant Professor

Deptt of Computer Science

Bhagini Nivedita College

University of Delhi

Find me on linkedin here: www.linkedin.com/in/priyanka-rathee-31066667

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[priyanka rathee]

Thank you sir

[Neeraj Kaushik]

Dear Friends

It's been a long time that we're discussing the various features of R. 

But one analysis everyone is so eager to know is whether we can do SEM in R?

Particularly, CFA and higher effects like Mediation and moderation.

So, the answer is Yes.

There are many wonderful packages like lavaan, mediation, semPlot etc

Today, I've explained CFA in R using lavaan package: https://youtu.be/kf0yOJr3wtk

Hope you'll find it useful.

Happy Learning

Neeraj

[Mukesh Kumar]

Great efforts sir and best contributions to students and research across disciplines.

I request you again now please help us students of engineering and medical research, application of statistics in experiment and medical designs specially repeated measures, doubly repeated measures, like how we can check post hoc analysis if we have only two conditions with two levels

I request you to please help us with adding your videos in experiment design playlist. 

[Neeraj Kaushik]

Dear Mukesh

I'll do the needful ASAP.

In the meanwhile, plz note post hoc is applied when there are min 3 categories.

Best wishes

[Neeraj Kaushik]

Dear Friends

I explained the concept of mediation using Process as well as lavaan package in r on https://youtu.be/SMFjzWPTakI

Happy Learning

Neeraj

[Neeraj Kaushik]

Part 13.2 Adding Text to Bar plot:

https://m.youtube.com/watch?v=6VGf7u_jaZI

Happy learning

Neeraj 

On Fri, Jan 19, 2018, 9:38 AM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Friends

I hope you're able to connect to the R-Studio. Now that we've completed the Bi-variate Analysis, before going ahead with the Multi-variate Analysis, let's pass through the colorful world of charts in R-Studio.

From today I'm starting Charts in R-Studio.

R-Studio provides numerous charts, so I've tried to classify them on the basis of One or Two variables as well as their measurement. For this, I made a powerpoint presentation (Attached). Next 8 videos are of the 8 type of charts.

Starting with Uni-variate charts (Non-metric measurement):

R Studio Part-13 Barplot: https://youtu.be/YNVFVV2iaS4

R Studio Part-14 Pie chart: https://youtu.be/BiUDZWwMJwA

Happy Learning

 

On Wed, Jan 17, 2018 at 9:51 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-12 Select Case Option: https://youtu.be/SykxbgtlEnw

Happy Learning

On Tue, Jan 16, 2018 at 8:22 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-11 Binary Regression: https://youtu.be/lCRo95Kffb0

Happy Learning

On Mon, Jan 15, 2018 at 10:09 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-10 Linear Discriminant Analysis: https://youtu.be/S9i4uF5D1O4

Happy Learning

On Thu, Jan 11, 2018 at 10:38 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-9.2 Multiple Linear Regression: https://youtu.be/OQ6sqKLTzxI

R Studio Part-9.3 Curvi-linear Regression: https://youtu.be/gnFjPwL623w

Happy Learning

On Wed, Jan 10, 2018 at 9:11 AM, Sunita Arora <aroras...@gmail.com> wrote:

Wonderful videos

On Jan 10, 2018 9:07 AM, "Neeraj Kaushik" <kaushi...@gmail.com> wrote:

R Studio Part-9.1 Simple Linear Regression and its Assumptions: https://youtu.be/AjJcd6Nrd5Y

Happy Learning

On Tue, Jan 9, 2018 at 3:52 PM, aditya gupta <akgu...@gmail.com> wrote:

Dear Sir,

Thank you, Sir, for sharing information.

With best wishes,

 

Aditya Gupta

[Neeraj Kaushik]

Dear Friends

Plots Function in R is used along with many other functions like points, axis, text, legend, abline etc.

I made Part 19.1 and then skipped its many other additional functions with the view to cover it lately.

Now I've completed this by making 2 videos on points and axis:

R-Studio Part-19.2: Adding points to Plot: https://youtu.be/q7L3TCGcdug

R-Studio Part-19.3: Axis option on Plot: https://youtu.be/QXepTDxQiFw 

Bonus: To access History from the keyboard, just press Ctrl+shift+Upward arrow and you can get back to any previously written command.

Happy Learning 

Neeraj

Wonderful videos

2. Don't write query in someone's post. Always use the option of New topic for the new question. You can do this by writing to dataanalys...@googlegroups.com

3. Its better to give a proper subject to your post/query. It'll help others while searching.
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[Neeraj Kaushik]

R-Studio Part-8.3: Partial Correlation Coefficient: https://youtu.be/V7gehY7XH2A

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

I noticed many gaps in the videos and trying to fill in the same.

One related to Regression in R-Studio is to get the values of Standardized Beta, VIF, Partial Correlation in Regression, Durbin Watson value, Confidence Limits etc. I tried to fill in this gap using the packages jtools, lmtest and lm.beta

I've explained it on https://youtu.be/UQKMSkxEZzM

Happy learning 

[Ramani Swarna]

Thanks Sir and really appreciate it.

Thanks and regards,

Ramani Swarna

Phone#:+918527149777 & +919560879476

mail id:ramani...@gmail.com

[Neeraj Kaushik]

Dear Friends

As we move on the journey of R, a very helpful and potent tool is the Script. 

It enables us to do high volume work in just a few steps.

I explained it in the following 2 videos:

R-Studio Part-28.1 Script in R-Studio: https://youtu.be/cZL96SiaZgA

R-Studio Part-28.2 Script in R-Studio: https://youtu.be/YurpshZ_gYg

Happy Learning

[Ramani Swarna]

Good Afternoon Sir,

Thanks for sharing the videos. The Script is indeed powerful to use in the analysis of the data. Few questions for you Sir:

1.Can one use it for large number of variables? Is there any restriction on it?

2. Can I use it for large data also ?

3. Can I use the plot function for multiple variables?

4. Is there any function which may give me the facility to use different colors for different variables in the plot and visualization?

5.Do I need to report everything that is present in the output file?

Thanks Sir.

[Neeraj Kaushik]

Dear Mam

Plz note whatever we can do by typing commands in R, the same can be saved in Script files and be used again and again.

Here're my inputs to your query:

1. There is no upper limit of no. of variables in the script. You may use it for any number of variables.

2. It is actually used with very large files (in terms of number of observations and number of variables)

3. If you know working on the plot with many variables, the same command can be saved in the script and run.

4. There are many arguments in a function which may help you in generating variable wise colors. You may refer https://www.r-bloggers.com/ for all your queries related to R.

5. This query is not related to R but to the writing the interpretation. As regard writing results, every scholar shd refer to the journals of his/her area or the excellent book of SPSS for Introductory Statistics: Use and Interpretation by Nancy Leech. This book is specifically written for this purpose only. 

You may download it from https://www.pdfdrive.com/spss-for-intermediate-statistics-use-and-interpretation-e17018679.html

Best wishes

[Ramani Swarna]

Thanks Sir and really appreciate it.

[Neeraj Kaushik]

Dear Friends

We started the journey of R on Jan 1st and today, on the last day of 2018, let's learn how to export output of R directly to MS-Word file. I explained it in

R-Studio Part-29 Sending R-Studio Output to MS Word file: https://youtu.be/tXuoYFd_IIU 

This was a yeaR full of R. I made number and number of videos on R-Studio, R-Commander, took many workshops in various universities. I hope we'll maintain this tempo in 2019 too.

So far, I've discussed about the Quantitative aspect of Data Analysis. In 2019, we'll focus on the Qualitative aspect like Text Analytics using R (But that will be done in a separate playlist as well as separate post)

In the meanwhile, I'm filling in the missing links of all playlists too.

Happy Learning

Neeraj

[Ramani Swarna]

Thanks Sir.

We really appreciate it and thank you whole heartedly for giving us the time and efforts invested from your side in order to make us learn and gain knowledge. 

Amazing journey for all of us,

[Nisha Arora]

Respected Sir,

I just randomly clicked on your cluster analysis playlist (I sometimes randomly watch something useful to brush up my skills) and realized that you made videos using r commander while in r or r studio, you were getting different results.

I just want to share that this problem can be fixed by using set.seed() function in r before running the algorithm.

Actually any algorithm, which use random numbers (in r) produce different results every time we run it so in order to make results reproducible, we use this function with a fixed number before running the actual algorithm e.g., set.seed(5) 

Code....

I hope it’s useful. 

Thanks & Regards,

Dr Nisha Arora

http://learnerworld.tumblr.com/

[Neeraj Kaushik]

Thanks Nisha Mam for such great help.

I feel so blessed to have such wonderful friends.

These days I'm exploring CFA and SEM in R-Studio.

I've noted that while in other softwares, the steps are so complicated, in R-Studio the same can be done in just 3 steps.

At the core of the lavaan package is the difference between 4 symbols:

• ~ (Used for Regression expression)
  
• ~~  (Used for Correlation expression)  
  
• =~  (Used for defining a construct)  
  
• :=  (Used for terms of calculations)  
  

I've explained the concepts of CFA, estimating correlation among Constructs and Mediation in these 2 videos:

R-Studio Part-25.2 CFA Revisited: https://youtu.be/O7N1cmO649I

R-Studio Part-25.3 Correlation and Mediation among Constructs: https://youtu.be/2sqf09deH2c 

Happy Learning

Neeraj

[Nisha Arora]

Dear Sir, 

I’m happy that it helped. The fact is I’m blessed to have you as my Guru/ mentor. 

We’re enriched by your selfless contribution for the learners. 

[Neeraj Kaushik]

R-Studio Part-25.4 Structural Relation between two Second order Constructs: 

https://youtu.be/ZWSe5eG2tOQ

Happy Learning

[Neeraj Kaushik]

R-Studio Part-23.2 Saving Factor Score generated by PCA Method: https://youtu.be/1U8LpOQsSc4

Happy Learning

On Fri, Feb 16, 2018 at 10:45 AM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Friends

I hope you're enjoying the journey of R as much as I'm enjoying.

So far we've covered the 3 phases in R:

1. Installation of R and R-Studio, the concept of Packages, Functions, Variables.

2. Uni-variate and Bi-variate Analysis

3. Charts in R

Now we can start our journey in the world of Multi-variate Analysis (Though I've already discussed some parts of it in Multiple Regression (Part-9.2), LDA (Part-10), Logistics Regression (Part-11) and Stepwise Method of Regression (Part-9.4), but now we can start in an official manner).

The first one, to start, is Factor Analysis. One R-Studio Part-21 Cronbach Alpha: https://youtu.be/5_lLj2b1Xas is already Public.  The next 2 videos shd be seen together. 

R-Studio Part-22 EFA Assumptions  KMO and Bartlett's test: https://youtu.be/Qf0Jp5NLYGA

R-Studio Part-23 EFA  (Principal Component Analysis): https://youtu.be/0KokmKuXsSs 

Happy Learning

On Thu, Feb 15, 2018 at 9:22 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R-Studio Part-21 Cronbach Alpha: https://youtu.be/5_lLj2b1Xas

Happy Learning

On Thu, Feb 15, 2018 at 10:52 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R-Studio Part 9.4 Step-wise method in Multiple Regression: https://youtu.be/l9A1HPdaUbo

Happy Learning

On Fri, Feb 2, 2018 at 1:09 PM, <agarwal...@gmail.com> wrote:

Thank You very much sir for sharing this wonderful lecture series on R. You have made it quite easy to understand and helpful for faculty members like me.

[Neeraj Kaushik]

Dear Friends

In continuation of the above videos, I've explained a new use of function text.

It is used for putting labels on the points.

I've explained this on https://youtu.be/pvf989tO5G4

Happy Learning

Neeraj

[raiswa saha]

thank you sir 

Thank you

Raiswa Saha

Senior Research Scholar, SRM University Delhi - NCR Sonepat, Haryana

[Neeraj Kaushik]

R-Studio Part-19.5 Separate plots in one Window: https://youtu.be/zREmACEDELk

Happy Learning

[Neeraj Kaushik]

Dear Friends

Continuing our discussion with Multi-variate Analysis, let's discuss one of the most beautiful techniques MDS (Multi-Dimensional Scaling). This is one of the easiest and fastest technique to work with.

R-Studio Part-30.1 MDS Concept and Working: https://youtu.be/exnYYczA7Og

Happy Learning

On Tue, Aug 14, 2018 at 9:07 AM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Gud mrng everyone

My this playlist has become just like Avenger Series movies: Sometimes sequels and other time prequels. 

Continuing with the sequel, i.e. multivariate analysis, I've explained the Hierarchical Cluster Analysis on: https://youtu.be/2LowUOIckBw

Happy Learning

On Sun, Aug 12, 2018 at 11:05 AM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Friends

In my exploration of r, every now and then I found new packages which make our work even simpler. 

Another wonderful package: summarytool

I've explained its 4 functions on https://youtu.be/s-6xt28RyS4

Happy Learning

Neeraj

On Tue, Apr 24, 2018 at 10:18 PM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Friends

"psych" package in R is a wonderful package which contains functions which are used in  Procedures for Psychological, Psychometric, and Personality (Read details on https://cran.r-project.org/web/packages/psych/psych.pdf)

This package provides functions for Cronbach Alpha, EFA, CFA etc. I recently found function cor.ci which table of Correlation Coefficients with color coding.

I've explained it on https://youtu.be/pFeaRceu_ps

Hope you'll find it useful and interesting.

Happy Learning

Neeraj

On Tue, Jan 9, 2018 at 1:23 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-8 Correlation Coefficient: https://youtu.be/_fA9DHNjRBk

Happy Learning

On Mon, Jan 8, 2018 at 6:36 PM, Ashutosh Gaur <gaur.a...@gmail.com> wrote:

Thank you.

Regards 

Ashutosh 

On 8 Jan 2018 4:19 pm, "Neeraj Kaushik" <kaushi...@gmail.com> wrote:

Regrets for the problem.

These are available now.

On Mon, Jan 8, 2018 at 3:22 PM, Ashutosh Gaur <gaur.a...@gmail.com> wrote:

Respected Prof Dr. Neeraj Kaushik 

Your Sunday special youtube vedio is not available. Please guide. 

Regards 

AshutoshGaur 

On 7 Jan 2018 10:06 am, "Neeraj Kaushik" <kaushi...@gmail.com> wrote:

Sunday Special: 

R Studio Part-7.1 One-Sample t-test: https://youtu.be/8jF8heq_JPQ

R Studio  Part 7.2 Two Independent Sample t-test: https://youtu.be/QSgLJthh930

R Studio Part-7.3 Two Related Sample t-test (Paired T-test): https://youtu.be/ycdyGibA6ZE

Happy Learning

On Sat, Jan 6, 2018 at 4:44 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-6.1 Bi-variate Analysis Cross-tabulation and Chi square test in R Studio: 

https://youtu.be/if6FNw-PO1Y

R Studio Part-6.2 Bi-variate Analysis Coss-tabulation and Chi square test in R Studio:

https://youtu.be/MaAqI28wEj0

Happy Learning

On Fri, Jan 5, 2018 at 9:37 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-5 Univariate Analysis in R Studio: https://youtu.be/5HPv45WFjXY

Happy Learning

[Neeraj Kaushik]

R-Studio Part-30.2 Providing Dimension Names in MDS: https://youtu.be/z_V97aqA2Ag

Happy learning

[Neeraj Kaushik]

R-Studio Part-30.3 MDS for different categories: https://youtu.be/PMPBQMC32RE

Happy Learning

[Ramani Swarna]

Respected Sir,

Greetings for the day!

Thanks for sharing the videos.

Sir in the video (https://youtu.be/pvf989tO5G4) , you showcased it with one color red being used for different cities. Is there a way out for using different colors for each city in the chart?

The video is helpful in good number of ways for automating certain operations.

Thanks and regards,

Ramani Swarna

Phone#:+918527149777 & +919560879476

mail id:ramani...@gmail.com

[Ramani Swarna]

Thanks Sir. The graphical visualizations are really awesome. 

Sir within these graphs, can I draw the line by joining the midpoints of each histogram also? Can it be done through a different color?

Thanks and regards,

Ramani Swarna

Phone#:+918527149777 & +919560879476

mail id:ramani...@gmail.com

[Ramani Swarna]

Respected Sir,

I need to thank you for uploading awesome videos on the fundamentals of marketing. I really appreciate it Sir.

I need to learn about the graphical representations of the Psychographics. They are in demand Sir.

I wanted to share one more thing. Apart from the categories of mapping as given from your end, it is also called heat mapping. This is exclusively used in Twitter analysis.

I would like to see other kinds of matrices also apart from 2*2 matrix.These videos are useful for my own marketing analysis. Thanks for sharing them.These charts and maps are useful in the complicated marketing analysis.

In this video,the focus is on classical multiple dimensional scaling. It means that there are more varieties of MDS. Can you please share the names of other varieties also Sir?

Can I use a different color for each plotting of the respondents(before transposing)?

Is it possible to use different colors for each actor?

One more thing I wanted to question you Sir. You got the excel sheet with you and it even consists of the comments of each respondent. Now come to the part wherein you uploaded the respondents (i.e. before transposing step in the video). Can I link the comment of the respondent with the point in the graph? In other words, the moment I click or bring the mouse to hover above the point depicting a respondent, can I see their comment also?I need to know this method Sir. It is possible because I did observe it in the dynamic heat maps or the perceived mappings. I need to learn this from you through R.

Thanks and regards,

Ramani Swarna

Phone#:+918527149777 & +919560879476

mail id:ramani...@gmail.com

[Ramani Swarna]

Respected Sir,

This is for the video "  https://youtu.be/z_V97aqA2Ag ".

Thanks for uploading the video. I appreciate it Sir.

Is it possible to insert the labels "Khan Brothers" and "New Age Stars" right opposite to the X Axis (and right below "Perceptual Mapping of the Bollywood Stars 2019")? 

Is it possible to insert the labels "Low Preferred" and "High Preferred" on opposite side of the Y Axis?

Thanks and regards,

Ramani Swarna

Phone#:+918527149777 & +919560879476

mail id:ramani...@gmail.com

[Neeraj Kaushik]

Dear Mam

As regard the different color for different brand names, plz refer to my post in this very thread dated Mar 15, 2019

In continuation of the above videos, I've explained a new use of function text.

It is used for putting labels on the points.

I've explained this on https://youtu.be/pvf989tO5G4

I explained the process of providing different colors for different cities.

Best wishes

[Neeraj Kaushik]

For the below-given questions, refer the video R-Studio Part19.3 Axis options in Plot

Is it possible to insert the labels "Khan Brothers" and "New Age Stars" right opposite to the X Axis (and right below "Perceptual Mapping of the Bollywood Stars 2019")? 

Is it possible to insert the labels "Low Preferred" and "High Preferred" on opposite side of the Y Axis?

[Neeraj Kaushik]

R has functions for creating 3D charts but they are quite complex

Plz refer https://www.google.com/search?q=3d+plots+in+r&oq=3D+plots+in+r&aqs=chrome.0.0l6.7009j0j7&sourceid=chrome&ie=UTF-8

On Thu, Mar 21, 2019 at 8:33 PM Ramani Swarna <ramani...@gmail.com> wrote:

[Neeraj Kaushik]

Dear Mam

All your answers can be answered in just one line: Yes, it is possible; just search for the relevant package.

Best wishes

[Ramani Swarna]

Thanks Sir and really appreciate it.

Thanks and regards,

Ramani Swarna

Phone#:+918527149777 & +919560879476

mail id:ramani...@gmail.com

[Neeraj Kaushik]

Canonical Correlation using R-Studio: https://youtu.be/y5LpVe1rx3k

For the analysis of Canonical Correlation, it is recommended to visit https://youtu.be/T2O9VERtlsE and https://youtu.be/tJjbwVwF1Rw

Happy Learning

[Neeraj Kaushik]

Dear Friends

I see a lot of confusion among scholars about the correct sequence of t-test.

So I thought of summarizing once again the various tests and statistics involved in Parametric tests and the syntax of these in r-Studio.

R-Studio Part-7.7 Summary of Parametric Tests-1: https://youtu.be/49FJlr_ZVgs

R-Studio Part-7.7 Summary of Parametric Tests-2: https://youtu.be/UA67oi2rIN4

The link of the presentation used in the video is given below the videos. The image file of the flowchart is attached herewith.

Happy Learning

[Neeraj Kaushik]

Dear Friends

So far I had not discussed Handling Multi-tick questions in R-Studio. I've explained the same now.

R-Studio Part-39.1 Handling Multiple response questions: https://youtu.be/HyJEVAHDBgM

R-Studio Part-39.2 Handling Multiple response questions: https://youtu.be/8cPkbf9C7KI

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

While working on the Select case, I explain the concept of [ ]

But there is one more option SUBSET, which selects rows from the given data/range on the basis of the given condition.

I've explained it on https://youtu.be/gYq9HpP4pv4

Happy Learning

Neeraj

On Wed, Jan 17, 2018 at 9:51 PM Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-12 Select Case Option: https://youtu.be/SykxbgtlEnw

Happy Learning

On Tue, Jan 16, 2018 at 8:22 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-11 Binary Regression: https://youtu.be/lCRo95Kffb0

Happy Learning

On Mon, Jan 15, 2018 at 10:09 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-10 Linear Discriminant Analysis: https://youtu.be/S9i4uF5D1O4

Happy Learning

On Thu, Jan 11, 2018 at 10:38 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-9.2 Multiple Linear Regression: https://youtu.be/OQ6sqKLTzxI

R Studio Part-9.3 Curvi-linear Regression: https://youtu.be/gnFjPwL623w

Happy Learning

On Wed, Jan 10, 2018 at 9:11 AM, Sunita Arora <aroras...@gmail.com> wrote:

Wonderful videos

On Jan 10, 2018 9:07 AM, "Neeraj Kaushik" <kaushi...@gmail.com> wrote:

R Studio Part-9.1 Simple Linear Regression and its Assumptions: https://youtu.be/AjJcd6Nrd5Y

Happy Learning

On Tue, Jan 9, 2018 at 3:52 PM, aditya gupta <akgu...@gmail.com> wrote:

Dear Sir,

Thank you, Sir, for sharing information.

With best wishes,

 

Aditya Gupta

[Neeraj Kaushik]

Good morning Friends

I've noticed that my playlist on R-Studio seriously become like Marvel movies with a lot of prequels and sequels.

In the Part-24 I explained working on CFA.

In AMOS, we use a concept of IMPTUE the construct scores which are stored in SPSS file and can be used for the computations directly in SPSS.

The same thing can be done in R-Studio too with the function lavPredict.

I explained its usage on https://youtu.be/7Yl6ULjC4cc

Happy Learning

Neeraj

On Fri, Aug 17, 2018 at 6:37 PM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Friends

It's been a long time that we're discussing the various features of R. 

But one analysis everyone is so eager to know is whether we can do SEM in R?

Particularly, CFA and higher effects like Mediation and moderation.

So, the answer is Yes.

There are many wonderful packages like lavaan, mediation, semPlot etc

Today, I've explained CFA in R using lavaan package: https://youtu.be/kf0yOJr3wtk

Hope you'll find it useful.

Happy Learning

Neeraj

On Wed, Aug 15, 2018 at 7:23 PM priyanka rathee <rathee.pr...@gmail.com> wrote:

Thank you sir

On Tue, 14 Aug 2018 at 6:50 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Priyanka

I work only on statistical analysis. You may learn this from https://www.rdocumentation.org/packages/LaplacesDemon/versions/16.1.1/topics/BayesTheorem

Best wishes

On Tue, Aug 14, 2018 at 4:22 PM priyanka rathee <rathee.pr...@gmail.com> wrote:

Dear Sir

Kindly explain the implementation of conditional probability and bay's theorem using R. 

On Tue, Aug 14, 2018 at 9:07 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

Gud mrng everyone

My this playlist has become just like Avenger Series movies: Sometimes sequels and other time prequels. 

Continuing with the sequel, i.e. multivariate analysis, I've explained the Hierarchical Cluster Analysis on: https://youtu.be/2LowUOIckBw

Happy Learning

On Sun, Aug 12, 2018 at 11:05 AM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Friends

In my exploration of r, every now and then I found new packages which make our work even simpler. 

Another wonderful package: summarytool

I've explained its 4 functions on https://youtu.be/s-6xt28RyS4

Happy Learning

Neeraj

On Tue, Apr 24, 2018 at 10:18 PM Neeraj Kaushik <kaushi...@gmail.com> wrote:

Dear Friends

"psych" package in R is a wonderful package which contains functions which are used in  Procedures for Psychological, Psychometric, and Personality (Read details on https://cran.r-project.org/web/packages/psych/psych.pdf)

This package provides functions for Cronbach Alpha, EFA, CFA etc. I recently found function cor.ci which table of Correlation Coefficients with color coding.

I've explained it on https://youtu.be/pFeaRceu_ps

Hope you'll find it useful and interesting.

Happy Learning

Neeraj

On Tue, Jan 9, 2018 at 1:23 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-8 Correlation Coefficient: https://youtu.be/_fA9DHNjRBk

Happy Learning

On Mon, Jan 8, 2018 at 6:36 PM, Ashutosh Gaur <gaur.a...@gmail.com> wrote:

Thank you.

Regards 

Ashutosh 

On 8 Jan 2018 4:19 pm, "Neeraj Kaushik" <kaushi...@gmail.com> wrote:

Regrets for the problem.

These are available now.

On Mon, Jan 8, 2018 at 3:22 PM, Ashutosh Gaur <gaur.a...@gmail.com> wrote:

Respected Prof Dr. Neeraj Kaushik 

Your Sunday special youtube vedio is not available. Please guide. 

Regards 

AshutoshGaur 

On 7 Jan 2018 10:06 am, "Neeraj Kaushik" <kaushi...@gmail.com> wrote:

Sunday Special: 

R Studio Part-7.1 One-Sample t-test: https://youtu.be/8jF8heq_JPQ

R Studio  Part 7.2 Two Independent Sample t-test: https://youtu.be/QSgLJthh930

R Studio Part-7.3 Two Related Sample t-test (Paired T-test): https://youtu.be/ycdyGibA6ZE

Happy Learning

On Sat, Jan 6, 2018 at 4:44 PM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-6.1 Bi-variate Analysis Cross-tabulation and Chi square test in R Studio: 

https://youtu.be/if6FNw-PO1Y

R Studio Part-6.2 Bi-variate Analysis Coss-tabulation and Chi square test in R Studio:

https://youtu.be/MaAqI28wEj0

Happy Learning

On Fri, Jan 5, 2018 at 9:37 AM, Neeraj Kaushik <kaushi...@gmail.com> wrote:

R Studio Part-5 Univariate Analysis in R Studio: https://youtu.be/5HPv45WFjXY

Happy Learning

--

Thanks & Regards

Priyanka

Chairperson

IEEE Young Professionals,

 Delhi Section

Assistant Professor

Deptt of Computer Science

Bhagini Nivedita College

University of Delhi

Find me on linkedin here: www.linkedin.com/in/priyanka-rathee-31066667

--

Thanks & Regards

Priyanka

Chairperson

IEEE Young Professionals,

 Delhi Section

Assistant Professor

Deptt of Computer Science

Bhagini Nivedita College

University of Delhi

Find me on linkedin here: www.linkedin.com/in/priyanka-rathee-31066667

[Neeraj Kaushik]

Dear Friends

While computing Skewness and Kurtosis in R-Studio, we find that there many packages and the different functions (of different packages) give different values of skewness and kurtosis.

I explained this anomaly and the various formulas of Skewness and Kurtosis in this video:  

R-Studio Part-05.5 Skewness and Kurtosis in R Studio with various Packages: https://youtu.be/iM0towK53ho

Happy Learning

[Neeraj Kaushik]

Good morning Friends

Multivariate Normality is an essential assumption for many of the Multivariate techniques.
Mardia test (there are others too) is used for checking this.

I explained the use of MVN package for the same in this video:

R-Studio Part-40 Checking Multivariate Normality: https://youtu.be/eOO3QM-8eyQ

Happy Learning
Neeraj

[Neeraj Kaushik]

Gud noon friends

We all find Excel so handy and quick in data handling, but doing the same tasks in R-Studio seems quite painful.

So, here comes Dr Hadley Wickham (http://hadley.nz/) who have made numerous packages for the efficient working in R-Studio.

One of the greats gift from him is dplyr- A r-package for Data Handling (just like Excel)

While watching YouTube videos, on any concept using R-Studio, you'll find the functions of this packages are used so frequently particularly the Pipe Operator %>%

I've explained 12 features of this package in this long video (25 min duration):

R-Studio Part-38 Working on dplyr package: https://youtu.be/lpwv6fEGaY4

Happy learning

Neeraj

[Dr. Nisha Arora]

Dear Sir,

Packages like dplyr, tidyr, datatable, makes data wrangling super easy and fast in R. 

Personally, I am also a fan of chaining operator and attach() function (from base package).

Same with ggplot2 (again by same author)and plotly for creating awesome plots using grammer of graphics.

A bunch of packages including these is known as tidyverse which makes analysts life easy.

Even Python users prefer R for data wrangling and Visualization.

 

To view this discussion on the web visit https://groups.google.com/d/msgid/dataanalysistraining/CAAd%3Dc8MFUyWz_cuCFCs2ucwqyKqa%3DApfyhg-HYSgjWDpDwwWNw%40mail.gmail.com.