[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The R Consortium recently spoke with Mario Annau, co-organizer of the Vienna R User Group. During the conversation, he discussed the use of R in the finance and pharmaceutical industries in Vienna. He also shared insights into the latest and upcoming trends in using R in these sectors and tips for organizing successful hybrid meetups with minimal overhea ..read more

[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Kirill Müller is the author of the {DBI} package, which helps to connect R and database management systems (DBMS). The connection to a DBMS is achieved through database-specific backend packages that implement this interface, such as RPostgres, RMariaDB, and RSQLite. There’s more information here. Most users who want to access a database do not need to i ..read more

[This article was first published on R – Xi'an's Og, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. 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 not computer) program. It parses rather quickly and I compiled it in one single run on my way to Bristol [Mecca of punched card coders!] last week. The core ..read more

[This article was first published on Numbers around us - Medium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Welcome to the Mushroom Kingdom In the vast and varied landscape of data analysis, navigating through complex datasets and transformation processes can often feel like an adventure through unknown lands. For those who embark on this journey using R, there’s a powerful tool at their disposal, reminiscent of the magical pipes found in th ..read more

[This article was first published on DataGeeek, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. 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 like contextual factors and accessibility dimensions. This article will examine females’ high-profile job positions rate in the working environment worldwide from the ..read more

[This article was first published on Steve's Data Tips and Tricks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. 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 the data.table package. Examples Method 1: Using Base R # Create a sample data frame my_df <- data.frame( Name = c("Alice", "Bob", "Charlie ..read more

[This article was first published on rOpenSci - open tools for open science, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. 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, and open source and open science communities. This program includes 1-on-1 mentoring for the Champions as they complete a project and pe ..read more

[This article was first published on Tag: r - Appsilon | Enterprise R Shiny Dashboards, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. 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 drilldown charts straight in R! This will allow you to click on individual chart elements to open up yet another visualizat ..read more

[This article was first published on R - datawookie, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. 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. Create a model for the Tata Steel returns. specification <- ugarchspec( mean.model = list(armaOrder = c(0, 0)), variance.model = list(model = "gjrGARCH"), distribution.mod ..read more

[This article was first published on R - datawookie, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. 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”? We can use a significance test to determine whether the value of each parameter is significantly different from its null value. For many parameters the null value ..read more