2019

Fitting ‘complex’ mixed models with ‘nlme’: Example #2

September 12, 2019 | R on The broken bridge between biologists and statisticians

A repeated split-plot experiment with heteroscedastic errors Let’s imagine a field experiment, where different genotypes of khorasan wheat are to be compared under different nitrogen (N) fertilisation systems. Genotypes require bigger plots, with r... [Read more...]

Fitting ‘complex’ mixed models with ‘nlme’: Example #4

September 12, 2019 | R on The broken bridge between biologists and statisticians

Testing for interactions in nonlinear regression Factorial experiments are very common in agriculture and they are usually laid down to test for the significance of interactions between experimental factors. For example, genotype assessments may b...

[Read more...]

Fitting ‘complex’ mixed models with ‘nlme’: Example #4

September 12, 2019 | R on The broken bridge between biologists and statisticians

Testing for interactions in nonlinear regression Factorial experiments are very common in agriculture and they are usually laid down to test for the significance of interactions between experimental factors. For example, genotype assessments may be performed at two different nitrogen fertilisation levels (e.g. high and low) to understand whether ...

[Read more...]

Fitting ‘complex’ mixed models with ‘nlme’: Example #3

September 12, 2019 | R on The broken bridge between biologists and statisticians

Accounting for the experimental design in regression analyses In this post, I am not going to talk about real complex models. However, I am going to talk about models that are often overlooked by agronomists and biologists, while they may be necessary in several circumstances, especially with field experiments. The ...

[Read more...]

Athena and R … there is another way!?

September 12, 2019 | Dyfan Jones Brain Dump HQ

RBloggers|RBloggers-feedburner Intro: Currently there are two key ways in connecting to Amazon Athena from R, using the ODBC and JDBC drivers. To access the ODBC driver R users can use the excellent odbc package supported by Rstudio. To access the JDBC driver R users can either use the RJDBC ... [Read more...]

Laguerre-Samuelson Inequality

September 12, 2019 | LeaRning Stats

Chebychev’s Theorem gives bounds on how spread out a probability distribution can be from the mean, in terms of the standard deviation. More precisely, if \(X\) is a random variable with mean \(\mu\) and standard deviation \(\sigma\), then \[ P(|X - ... [Read more...]

Fitting ‘complex’ mixed models with ‘nlme’: Example #2

September 12, 2019 | R on The broken bridge between biologists and statisticians

A repeated split-plot experiment with heteroscedastic errors Let’s imagine a field experiment, where different genotypes of khorasan wheat are to be compared under different nitrogen (N) fertilisation systems. Genotypes require bigger plots, with respect to fertilisation treatments and, therefore, the most convenient choice would be to lay-out the experiment ... [Read more...]

Social Network Visualization with R

September 12, 2019 | JOURNEYOFANALYTICS

In this month’s we are going to look at data analysis and visualization of social networks using R programming. Friendster Networks Mapping Friendster was a yesteryear social media network, something akin to Facebook. I’ve never used it but it is one of those easily available datasets where you ...

[Read more...]

Social Network Visualization with R

September 12, 2019 | JOURNEYOFANALYTICS

In this month’s we are going to look at data analysis and visualization of social networks using R programming. Friendster Networks Mapping Friendster was a yesteryear social media network, something akin to Facebook. I’ve never used it but it is one of those easily available datasets where you ...

[Read more...]

WVPlots 1.1.2 on CRAN

September 12, 2019 | Nina Zumel

I have put a new release of the WVPlots package up on CRAN. This release adds palette and/or color controls to most of the plotting functions in the package. WVPlots was originally a catch-all package of ggplot2 visualizations that we at Win-Vector tended to use repeatedly, and wanted to ...

[Read more...]

Survival analysis with strata, clusters, frailties and competing risks in in Finalfit

September 12, 2019 | Ewen Harrison

Background In healthcare, we deal with a lot of binary outcomes. Death yes/no, disease recurrence yes/no, for instance. These outcomes are often easily analysed using binary logistic regression via finalfit(). When the time taken for the outcome to occur is important, we need a different approach. For instance, ...

[Read more...]

A DevOps Process for Deploying R to Production

September 12, 2019 | David Smith

I've been at the EARL Conference in London this week, and as always it's been inspiring to see so many examples of R being used in production at companies like Sainsbury's, BMW, Austria Post, PartnerRe, Royal Free Hospital, the BBC, the Financial Times, and many others. My own talk, A ... [Read more...]

Use more of your data with matrix factorisation

September 12, 2019 | Daniel Oehm

Previously I posted on how to apply gradient descent on linear regression as an example. With that as background it’s […] The post Use more of your data with matrix factorisation appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Gold-Mining Week 2 (2019)

September 11, 2019 | Michael Griebe

Welcome to the 2019 Fantasy Football Season! Week 2 Gold Mining and Fantasy Football Projection Roundup now available. The post Gold-Mining Week 2 (2019) appeared first on Fantasy Football Analytics. [Read more...]

Call for Help: Lead R/Shiny Developer

September 11, 2019 | Isaac Petersen

Dear Fantasy Football Analytics Community, In 2013, we at Fantasy Football Analytics released web apps to help people make better decisions in fantasy football based on the wisdom of the[...] The post Call for Help: Lead R/Shiny Developer appeared first on Fantasy Football Analytics. [Read more...]

R/Medicine 2019 Workshops

September 11, 2019 | R Views

R/Medicine 2019 kicked off on Thursday with two outstanding workshops. It was difficult to choose between the two, but fortunately both presenters developed rich sets of materials that are available online. Alison Hill delivered R Markdown for Medicine with an elegant HTML exposition masterfully created to cultivate beginners while still ...

[Read more...]

Running R Projects in MyBinder – Dockerfile Creation With Holepunch

September 11, 2019 | Tony Hirst

For those who don’t know it, MyBinder is a reproducible research automation tool that will take the contents of a Github repository, build a Docker container based on requirements files found inside the repo, and then present the user with a temporary, running container that can serve a Jupyter ...

[Read more...]

Dynamic UI Elements in Shiny

September 11, 2019 | Oliver Guggenbühl

Shiny enables its users to quickly create a fixed UI with code. Although simple, this can prove to be quite limiting. Applying the principles of reactivity to the UI part of a ShinyApp is a natural progression from reactive coding as we know it already from Shiny's server side. This ...

[Read more...]

Finding the Modal School District

September 10, 2019 | %>% dreams

My good friend Ryan Estrellado recommended an NPR Planet Money podcast episode on the “Modal American.” Working with Ben Casselman, Planet Money explored the most ‘typical’ American. It was a fantastic, engaging episode about a common statistical technique that I’ve never seen applied in this way before. They ran ...

[Read more...]

investmentsim – an R Package for Simulating Investment Portfolios

September 10, 2019 | Ryan Holbrook

I wrote a little package recently for a project I’ve been working on. I’ve mostly been using it to help out with Monte Carlo simulations for personal finance planning. It’s a little rough at the moment, but for the adventurous it’s on Github here: investmentsim. And ...

[Read more...]

Never miss an update! Subscribe to R-bloggers to receive e-mails with the latest R posts. (You will not see this message again.)

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)