![Tom Sherratt](/img/default-banner.jpg)
- Видео 33
- Просмотров 539 402
Tom Sherratt
Добавлен 27 ноя 2011
Lotka Volterra Equations in R
Solving the Lotka-Volterra coupled differential equations in R.
Просмотров: 6 146
Видео
Solving differential equations in R
Просмотров 16 тыс.9 лет назад
How to solve some simple differential equations in R.
Deterministic Chaos and Bifurcation Diagrams in R
Просмотров 12 тыс.9 лет назад
Deterministic Chaos and Bifurcation Diagrams in R
Simple graphics in RStudio
Просмотров 1,9 тыс.9 лет назад
An introduction to some basic plotting functions in R using RStudio
Goodness of fit tests in R
Просмотров 4,2 тыс.9 лет назад
The theory underlying simple goodness of fit tests which compare observed and expected counts.
Chi-squared tests (goodness of fit) in RStudio
Просмотров 12 тыс.9 лет назад
Testing null hypotheses of no association using chi-squared tests in R.
Logistic Regression in RStudio
Просмотров 99 тыс.9 лет назад
The practice of fitting logistic regression models in R using RStudio
Binary Logistic Regression in R
Просмотров 24 тыс.9 лет назад
The theory and practice of fitting a binary logistic model to data in R
Polynomial Regression in RStudio
Просмотров 36 тыс.9 лет назад
An example of polynomial regression in RStudio.
Polynomial Regression in R
Просмотров 33 тыс.9 лет назад
The theory of fitting polynomial regression models in R.
Randomized Block Designs in RStudio
Просмотров 21 тыс.9 лет назад
Fitting a randomized block model to data using RStudio.
Introduction to Analysis of Covariance
Просмотров 7 тыс.9 лет назад
Introduction to Analysis of Covariance
An introduction to multiple regression
Просмотров 3149 лет назад
An introduction to multiple regression
Reading and Writing files in RStudio
Просмотров 5 тыс.9 лет назад
Reading and Writing files in RStudio
great class! thank you so much
a lovely video Tom! please do on soil fertility status, since I am student of soil scientist, I want to know how to analysis soil fertility status! thank you!
Note that it's pretty usual (it even presents it this in the help) to pass your state variable in the form y0 = list(N=2), p=list(r=0.5, K=1000) then you'd wrap the body of clogistic() with(c(y0, p), {...}) and can use your states and parameters directly, i.e. N, r, K, instead of the less obvious y[1], p[1], p[2]. clogistic <- function(y, times, parms) { with(c(y0, p), { dN <- r * N * (1 - N / K) return(list(dN)) } }
Thanks for the video! Very useful
hey can you help me how can i make programing this in rstudio language? Code in matlab is this Matlab: but in rstudio?? p=0.5; n=100; U=rand(n,1); binornd(100,0.5,4,4); >> hist(U)
Great
sound quality too low; poor
Comparing R to Mathematica is rather silly. It is like comparing rocks to airplanes.
Thanks for a great video. One note; p/(1-p) is just the odds, not the odds ratio.
Can you please explain some line of codes if we have different variables data for period of time in excel sheet. Thank you
Thank you so much , but my value not in Eanvironment ? How can get it ?
Can anybody point me to a link on how to compute the r2 in quadratic fit manually?
can anyone help me
Could you tell the library package name
Thank you very much, teacher Tom.Very important your explanación.God bless you.Lets be prepared.Jesus come back to make his kingdon.
Great presentation regards
very useful and thank you so much
Dude, I'm 30 seconds into this video and you're already 100x better than my stats instructor.
where is the R?
That was a great explanation! Thank you so much🌷
Oiii
I have a very similar question to your first example, but some of my expected values are less than 5, so I think it is recommended not to use the Chi-squared test in this case. What would you recommend instead?
Thank you so very much for clarifying the difference between the differential equation and the difference equation (as per this video and the previous one). Deeply appreciated! Would deeply appreciate more real world worked-out practical solutions involving ODEs, PDEs and other inter-related ones -- using R, RStudio and RCmdr too, with the accompanying visualization-centric graphical plots. Tqsvm and keep up the great work!
Hi, nice video. I got a question. What should I do in case I would have a data base and have to do a simulation for any row of the data? Thanks!
Thank you lady
very nice and Thank you for your explanation
Very clear! Thx
Dear sir, can you please explain, Kuznets Curve in R. Please sir.
great video thanks!
it was very helpfull. thanks a lot.
This is so easy to follow 7 yrs later, Thank You Tom!
Thank you! Great presentation!
Excellent presentation! Well paced and full of helpful information. Thank you!
Don't use R for ODES as the library it has "Desolve" is poorly documented and that's why no one uses R for ODES, prefer something like octave/matlab maybe... but R is not for this job... thank you for this explanation but still I don't recommend anyone to use this.
very helpful thankyou
@5:05 to interpret this: if x increases by 1, y increases by 3.05 times., but what about the relationship of the second order polynomial equation @5:32, how can this be interpreted? especially the (-3.22*x2).
How to calculate r² for degree 2 equation ???
Simple and effecive class.
Hi! How to make appears an LSD and coefficient of variance (CV) tests in my ANOVA output? I already downloaded the packages "agricolae" and "multcomp" and did not work.
can you help me? there are no script area in mr Rstudio, please help.. thankyouu
Thanks a lot sir! Helped me a lot
Sir, in other logistic analysis, they split the data into train and test data. Is it necessary necessary to split the data or not. What is the purpose. But your presentation here looks much easier without splitting.
Easy to understand. Thank you sir
fluoride not flouride !
i dont understand what happens with r>4? what happens at r=5?
if the function is defined as Xt+ 1= Xt *r*(1-Xt), then Xt(1- Xt) can take a max value of 1/4 (when Xt = 1/2). Then r must be less than 4 , else the population(Xt +1 ) goes negative , i dont know if this helps after 6 months ;)
Please could you tell me HOW to open the environment display????
Thanks a lot. Why mode() and not class()?
Thank you so much
I am getting the following error: > xv<-seq(min(DDS),max(DDS),0.01) Error in seq.default(min(DDS), max(DDS), 0.01) : 'from' must be a finite number please suggest how to resolve this.
Run the min(DDS) and browse the result. Maybe you have NA in the DDS vector
This is still using lm (linear model) to do the regression. Isn't there a way to directly fit a non-linear equation without linearizing?