You can see this figure in my previous post as well. In this post I have taken a different approach of loading data in R. You can manually enter data in R using the base R package which I demonstrated in this post. The code below should work without modification and generate figure at the end of the post.
I attended MATLAB with Python Webinar hosted by the MathWorks community. I am sharing content I received in my email so other people might benefit from this resource. Thank you for your interest. Event resources are now available for: Event: Using MATLAB with PythonDate: 26 August 2022 View webinar recordingYour certificate of participation for this event is available at the bottom of this email. Learn More About MATLAB and SimulinkDownload a free trial Get training Explore examples Attend an upcoming event Thank you again for your interest in MathWorks. Regards,MathWorks Event Team This is to certify that Bijesh Mishra has attended the following MathWorks…
I cleaned the R environment, summarized annual rainfall data, created additional three variables, plotted all four variables vs. Year, customized plot theme, customized colors, customized legend, and saved image in the working directory using four different packages. The code and output is presented below in this post.
Hello all, This is interesting!!!! I recently found a book series called “Use R!” where you can find several books with codes, tutorials, figures, and several other materials using R in diverse fields such as spatial data analysis, economics, differentiation, Bayesian statistics, data analytics, data mining, chemistry, health, genomics, and many more. Springer describes this series as: “This series of inexpensive and focused books on R is aimed at practitioners. Books can discuss the use of R in a particular subject area (e.g., epidemiology, econometrics, psychometrics) or as it relates to statistical topics (e.g., missing data, longitudinal data). In most…
Bayes Theorem defined as: P(A|B) = P(A)*P(B|A) / P(B) where: P(A|B): Given event B, the probability of event A has occurred. P(B|A): Given that event A has occurred, the probability of occurrence B. P(A): The probability of event A. P(B): The probability of event B. Example: Assume that there is a 30% chance of rainfall in a day. Assume that the probability that I walk outside is 50% and that the probability that I walk on a rainy day is 10%. What are the chances that it will be a rainy day given I walk outside? This problem can be…
