R-bloggers

I encountered the question today of what to do with missing values when conducting null hypothesis testing or regression? I have seen many suggest doing mean imputation. That is, simply replace any missing values with the mean of the variable cal...

Are you ready to stay ahead in the fast-evolving world of data? Join Jumping Rivers for our free monthly webinar series designed for data professionals at all levels. In just 55 minutes, you’ll gain practical insights, sharpen your skills, and ta...

Running a marathon is a big deal. It takes a lot of time to train to run a good time, and it takes a while to recover. So, if you’re chasing a marathon PB (personal best) time, you need to choose which Marathon to target wisely. How can we ...

Heatmap of the french population Day 17 of 30DayMapChallenge: « A new tool » (previously). Testing Maplibre with {mapgl}. library(dplyr) library(mapgl) library(sf) Data Using french communes population. pop st_centroid() |__ select(population) Map maplibre(center = c(5, 45), zoom = 6) |__ add_heatmap_layer( id = "pop", source = pop, heatmap_weight = interpolate( column = "population", values = ...

Johann Heinrich von Thünen (1783-1850) was a German agronomist, agricultural reformer, and textbook author. If you look his name up on the internet, you’ll find that he is best remembered for his model of land use, which seems to have made its way onto...

{talib} is a new R-package for Technical Analysis (TA) and Candlestick Pattern Recognition (Yeah, the patterns traders bet their lifesavings on….). In this post I will show basic example on how {talib} works, and how it compares performance-wise with {TTR}. Basic example In this example I will identify all ‘Harami’ ...

Finally understood TMLE’s “doubly robust” property through simulation. Works well when either outcome OR treatment model is correct. XGBoost + TMLE captured complex relationships without manual specification. It worked on simul...

unifiedml is now available on CRAN. This package provides a consistent interface for machine learning in R, making it easier to work with different ML algorithms using a unified API.

Eagle Creek Fire – CC-BY-NC-SA by Curtis Gregory Perry Day 15 of 30DayMapChallenge: « Fire » (previously). An animation of global fires in 2024 using MODIS data. library(dggridR) library(dplyr) library(readr) library(ggplot...

In this post, I announce the release of version of 0.2.0 of the readtextgrid R package, describe the problem that the package solves, and share some thoughts on LLM-assisted programming. Textgrids are a way to annotate audio data Praat is a program for speech and acoustic analysis that has been around ...

As a data science consultancy, Jumping Rivers are already known for offering help and training to clients in all things data. But did you know that we also organise free, in-person data science meetups? In this post we will talk through the typic...

10:10:10 on 10/10/10 - “Give Me A Little More Time” – CC-BY-NC-SA by Jill Clardy Day 13 of 30DayMapChallenge: « 10 minute map » (previously). Where can you go in 10 minutes (by car) from Les Minutes? library(osrm) library(leaflet) library(glue) Data We use {osrm} to build the isochrone. The service is based on OpenStreetMap data. ...

Explore the context-aware Theta method, a flexible extension of the classical Theta forecasting approach that incorporates tunable drift parameters and machine learning-based slope estimation.

Vignemale – CC-BY-NC-SA by Jon Larrañaga Day 12 of 30DayMapChallenge: « 2125 » (previously). Vidaller et al. (2021) indicate that Pyrenean glaciers are in a clear imbalance with the regional climate and will likely disappear...