Running Basic Statistical Analysis in R

R is one of the most popular tools for statistical analysis, it is also one of the few open source tools available in the market. Unlike other tools like SPSS, R uses a command line interface and could be scary for people new to the platform. However, running test in R is actually surprisingly easy and most basic analysis can be completed with a single function. In this video, I will try to run through the basic and please do let me know if you having some issues on your side.

Link to Self Checking Questions

R logo

[arkanshsharma]

Single best video which teaches r and statistics the best way possible

[SoyKhalid]

Mr LB, your efforts in explaining aspects of R, and in presenting the material to that end, are heaven sent! Thank you so very much!

[motivationaldiary]

Mr LB, l would like to say thank you, l love how you just made R so easy for me to navigate around... Deeply appreciate the presentation you did

[muskansyed]

What a wonderful session and to practice these codes side by side made my concepts even clearer especially enjoyed the pheatmap part ! Please keep up the amazing work Mr LB

[nonoobott]

This is very concise and explicit. Thanks for sharing

[miransh]

Hey thanks very much for this learning, this video is very important to me and very valuable because there are no other videos on YouTube like this. The reason I am saying is that I searched and searched for a week and could not find any videos that explains the practicality and usage of R.

Everyone talks about theory as to how to get mean etc how to get median but nobody talks how to interpret these results what does SD of 1.5 mean to you that’s something people don’t talk about thanks very much again for this video and look forward to many more practical videos that will tell you how to get data from the web

for example stock market and/or how to do stock analysis on your own using R this would be a very interesting topic if you can I would really appreciate it

[saniousmane]

Thank you a lot for this excellent presentation and teaching.

[veenalasrado]

Absolutely brilliant, clear, concise, and articulate...Thank you so much

[AlfieGordonx]

You made this very simple. Thank you so much.

[uttambarua]

Excellent presentation and thank you so much.

[OFWCREATOR]

You're the best, you made it simple and sweet.

[christine_ko]

Many thanks sir! Thank you for creating the informative and engaging video👍

[laureakpodji]

Thank you so much, for this video, which reconciles me with R🤩

[louisecapener]

These videos are brilliant, thank you!

[theforester_]

really nice tutorial man! big shout out from brazil

[fotensolution]

Hello, could you please help me, I used this code to fit the trendline of my data, but the line did not show "> abline(lm(Rawdata$Elevation~Rawdata$Bulk, data=Rawdata))". What could be the possible problem? Your video has been helpful as I am a new user of R. I have successfully implemented your tips until this point. Thanks

[oacho]

Hi LB, I am curious to hear your professional opinion about how to fit a model that I find to be challenging. I have measurements of oxygen consumption taken at 4 different temperatures for 520 eggs belonging to 80 species of insects. The goal of my model is to look at how a series of predictors like location, mortality ecc. influence the slopes of the lines that describe the change in oxygen consumption across the 4 measurement temperatures. Oxygen consumption intuitively increases with egg mass, measurement temperature and age of the egg. What I do not understand is how to make these slopes the dependent variables. If I first make a model like oxygen~egg mass+age+measurement temperature and then I use the slopes for each species as dependent variable in a model like slopes~site+mortality+ambient temperature is that correct? Or is that discourage because I am doing statistics on statistics? Conversely, if I build only one model like oxygen~egg mass+age+measurement temperature is this model actually looking at slopes? Sorry for the long question but I find it hard to get a reasonable answer by myself.
Cheers

[louisirving]

"Student" was the pseudonym of William Gosset, who invented the t-test.

[AchiragChiragg]

8:54 there's a mistake in that Formula, it should be lm(y~x) not lm(x~y)

[LuluQi-dw]

hello，could you please tell me how to do autoencoder anaysis for raster in rstudio?