Contents Load library Purpose/Objective Load dataset Pre-processing Analysis Summary Load library Show code library(tidyverse) library(tidytext) library(malaytextr) library(lubridate) library(ggrepel) library(showtext) library(ggte...

Shiny is an R package that makes it easier to build interactive web apps straight from R. Back in July 2022 at rstudio::conf(2022), Posit (formerly RStudio) announced the release of Shiny for Python. As someone who knows Python but hasn’t writt...

This is the final part of a series of three blog posts about using the {shinytest2} package to develop automated tests for shiny applications. In the posts we cover the purpose of browser-driven end-to-end tests for a shiny developer, and tools (like {shinytest2}) that help implement them; how to write ...

Introduction XGBoost, short for “eXtreme Gradient Boosting,” is a powerful and popular machine learning library that is specifically designed for gradient boosting. It is an open-source library and is available in many programming languages, inc...

Contents Load library Load dataset Description Data exploration Modelling Summary Load library Show code library(tidyverse) library(tidymodels) library(scales) library(themis) Load dataset To begin the analysis, we will be accessing the training and testing datasets for the APS Failure at Scania Trucks project. These datasets are available on ...

Overview Traditionally the excitation noise of spatial and temporal models is Gaussian. Take, for instance, an AR1 (autoregressive of order 1) process, where the increments \(x_{i+1}-\rho x_i, \ \ |\rho|

Cilaos - CC BY-NC-SA r.iresmi.net library(tidyverse) library(leaflet) library(rStrava) library(sf) # Get your credentials from https://www.strava.com/settings/api app_name

Mirai RiskMetrics (MiRiM) is a Shiny app based on the RiskMetrics methodology enhanced to analyze the market risk of a portfolio. MiRiM is freely available on our Website Gallery and is designed for desktop view. In the first release, MiRiM was mai...

Introduction Geometric Brownian motion (GBM) is a widely used model in financial analysis for modeling the behavior of stock prices. It is a stochastic process that describes the evolution of a stock price over time, assuming that the stock pric...

A collage of various conference logos, including posit conf, NICAR, Shiny Conf, Shiny in Production, and more. Happy January! Below, we share a list of upcoming conferences that either focus on the R programming language or showcase its use in the field. If we have missed your conference, please leave ...

Hello, hope you have your Yorkshire tea ready this is going to be a new series on the blog in which each month I am going to be tackling Kaggles monthly playground series. Find the link to Januarys below feel free https://www.kaggle.com/competitions/playground-series-s3e1 So let’...

{reactable} is pretty powerful in itself given just how many features are available in it. But its real power is in how we can tinker with it. In one of our R Shiny projects, we needed a leaderboard of sorts. So, we figured, why not make things interesting and add ...

Introduction Time series analysis is a crucial tool for forecasting and understanding trends in various industries, including finance, economics, and engineering. However, traditional time series analysis methods can be limiting, and they may no...

In a previous post, I described some ways one might go about analyzing data from a stepped-wedge, cluster-randomized trial using a generalized additive model (a GAM), focusing on continuous outcomes. I have spent the past few weeks developing a simi...