R-bloggers » Search Results » animation

The Two-Fund Separation Theorem introduced by James Tobin, a Nobel Prize-winning economist, is a fundamental concept in investment theory. It addresses how investors can optimally allocate their...

https://www.r-bloggers.com/2024/04/asset-allocation/

A fellow coder shared with me this recent manual (in French) entitled python (for the computer language, not the snake) written by Nathalie Azoulai  as he found it an interesting literary (if n...

https://www.r-bloggers.com/2024/04/python-book-review/

Welcome to the Mushroom KingdomIn the vast and varied landscape of data analysis, navigating through complex datasets and transformation processes can often feel like an adventure through unkno...

https://www.r-bloggers.com/2024/04/navigating-the-data-pipes-an-r-programming-journey-with-mario-bros/

Finding a high-profile job position has been very hard for women especially those living in countries with few opportunities for related acquires. This problem can be stemmed from many reasons l...

https://www.r-bloggers.com/2024/04/knn-vs-xgboost-rivalry-women-employment-in-management/

You have the fundamentals of R Highcharts under your belt by now. The next logical step is to introduce a bit more complexity in the code, but for the greater good. And that good is implementing...

https://www.r-bloggers.com/2024/04/r-highcharts-drilldown-how-to-create-animated-and-interactive-drilldown-charts-in-r/

Introduction Ever wrangled with a data frame and needed just the final row? Fear not, R warriors! Today’s quest unveils three mighty tools to conquer this task: base R, the dplyr package, and ...

https://www.r-bloggers.com/2024/04/extracting-the-last-nth-row-in-r-data-frames/

The goal of the rOpenSci Champions Program is to enable more members of historically excluded groups to participate in, benefit from, and become leaders in the R, research software engineering, a...

https://www.r-bloggers.com/2024/04/fostering-equity-and-leadership-the-ropensci-champions-program-selection-process/

Introduction Dealing with missing data is a common challenge in data analysis and machine learning projects. In R, missing values are represented by NA. Being able to identify and handle these m...

https://www.r-bloggers.com/2024/04/a-guide-to-selecting-rows-with-na-values-in-r-using-base-r/

#171–172PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #173One of contestants said: Why should we br...

https://www.r-bloggers.com/2024/04/powerquery-puzzle-solved-with-r-21/

Introduction In R, we often need to filter data frames based on whether a specific value appears within any of the columns. Both base R and the dplyr package offer efficient ways to achieve this...

https://www.r-bloggers.com/2024/04/selecting-rows-with-specific-values-exploring-options-in-r/

Setting the values of one or more parameters for a GARCH model or applying constraints to the range of permissible values can be useful. CONTINUE READING: Parameter Constraints & Significance

https://www.r-bloggers.com/2024/04/parameter-constraints-significance/

Nice achievment: I have been able to implement the Jack polynomials with a symbolic Jack parameter, in Haskell and in R. My Julia package JackPolynomials, a couple of years old, allows to get ...

https://www.r-bloggers.com/2024/04/jack-polynomials-with-symbolic-parameter/

A researcher reached out to me a few weeks ago. They were trying to generate longitudinal data that included irregularly spaced follow-up periods. The default periods generated by the function ad...

https://www.r-bloggers.com/2024/04/simstudy-enhancement-specifying-idiosyncratic-follow-up-times-for-longitudinal-data/

Summary My gssr package is now two packages: gssr and gssrdoc. They’re also available as binary packages via R-Universe which means they will install much faster. The GSS is a big survey wi...

https://www.r-bloggers.com/2024/04/gssr-is-now-two-packages-gssr-and-gssrdoc/

Come celebrate 10 YEARS of the New York R Conference! This year’s conference takes place May 16th & 17th with workshops May 15th. We are taking a trip down memory... The post Decade of Data: ...

https://www.r-bloggers.com/2024/04/decade-of-data-celebrating-10-years-of-innovation-at-the-new-york-r-conference/

Puzzles no. 429–433PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #429We all (I assume) know the Py...

https://www.r-bloggers.com/2024/04/r-solution-for-excel-puzzles-19/

Business needs to have dashboards validated. Many companies have dedicated Quality Assurance teams. As software engineers, we call the validation process testing. The process of validating an ap...

https://www.r-bloggers.com/2024/04/introduction-to-quality-assurance-for-shiny-for-python-dashboards-with-playwright/

Ignite your passion and propel your career at ShinyConf 2024, online from the 17th to the 19th of April! This isn’t just another conference; it’s an opportunity to stay ahead of the curve. D...

https://www.r-bloggers.com/2024/04/counting-down-to-shinyconf-2024-why-attending-can-be-a-game-changer-for-your-career/

Introduction In the world of statistics and data analysis, understanding and accurately estimating the parameters of probability distributions is crucial. One such distribution is the chi-square...

https://www.r-bloggers.com/2024/04/estimating-chi-square-distribution-parameters-using-r/

The two quantities we have been modelling (the time-dependent average and standard deviation of the returns) represent respectively the (potential) risk and reward associated with an asset. The r...

https://www.r-bloggers.com/2024/04/risk-reward-tradeoff/

Following my previous post, I am again looking at how to employ R and Python seamlessly to use large language models (LLMs). Last time, I scraped information off of Wikipedia using the rvest ...

https://www.r-bloggers.com/2024/04/r-and-python-together-a-second-case-study-using-langchains-llm-tools/

Join our workshop on Optimal policy learning based on causal machine learning in R, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Optimal policy learnin...

https://www.r-bloggers.com/2024/04/optimal-policy-learning-based-on-causal-machine-learning-in-r-workshop/

Hey guys, welcome back to my R-tips newsletter. It’s no secret that modern businesses run on mobile apps. Today, I’m going to share how to turn your R Shiny web apps into Mobile-First busine...

https://www.r-bloggers.com/2024/04/how-to-make-mobile-apps-with-r-shiny/

Is this a “good” model? How to validate a model and determine whether it’s a good representation of the training data and likely to produce robust and reliable predictions. CONTINUE REA...

https://www.r-bloggers.com/2024/04/model-validation/

In general a parsimonious model is a good model. A model with too many parameters is likely to overfit the data. So how do we determine when a model is “complex enough” but not “too complex...

https://www.r-bloggers.com/2024/04/parameter-significance-parsimonious-models/