We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but … Read moreDay 08 – little helper intersect2
TLDR: Begin with N of 10, increase by 10 until p < 0.05 or max N reached. This design has inflated type-I error. Lower p-value threshold needed to ensure specified type-I error rate. The number of interim analyses and max N affect the type-I error rate. Threshold can be identified … Read more“Increase sample size until statistical significance is reached” is not a valid adaptive trial design; but it’s fixable.
Categories Programming Tags Data Visualisation R Markdown R Programming In this article, you learn how to make Automated Dashboard Visualizations with Ranking in R. First you need to install the `rmarkdown` package into your R library. Assuming that you installed the `rmarkdown`, next you create a new `rmarkdown` script in … Read moreAutomated Dashboard Visualizations with Ranking in R
Many of our projects involve getting doctors, nurses, and medical students to collect data on the patients they are looking after. We want to involve many of them in data analysis, without the requirement for coding experience or access to statistical software. To achieve this we have built Shinyfit, a … Read moreShinyfit: Advanced regression modelling in a shiny app
Time really does fly. It’s been 5 months since Delhi NCR useR group had come into being and our first meetup. It was a successful event which included sessions featuring an R-core member and a veteran data scientist. More importantly, the 50+ community members who’d turned up took part in … Read moreR community update: announcing useR Delhi December meetup and CFP
Nov 27, 2018 I recently leveled up to fatherhood. That’s why I am currently on 5 months of parental leave (thank’s to the awesome team @store2be for going along with this!). Every morning at around 5am, I leave the bedroom with my son for the kitchen so his mom can … Read moreMap the solar system to a place near you –A NatGeo’s MARS inspired Shiny web app
A new update of my sjstats-package just arrived at CRAN. This blog post demontrates those functions of the sjstats-package that deal especially with Bayesian models. The update contains some new and some revised functions to compute summary statistics of Bayesian models, which are now described in more detail.
Forecasting time-series which contain multiple seasonal patterns requires flexible modelling approaches, and the need for continuously updating models emphasises the importance of fast model estimation. In response to shortcomings in current models, a new model is proposed which brings the desirable qualities of speed, flexibility and support for exogenous regressors into a state space model.
TDAstats is an R pipeline for topological data analysis, specifically, the use of persistent homology in Vietoris-Rips simiplicial complexes to study the shape of data.