Histograms with R and ggplot2 Be honest. How uninspiring are your data visualizations? Expert designers make graph design look effortless, but in reality, it can’t be further from the truth. Luckily, the R programming language provides countless ways to make your visualizations eye-catching. Read more on our ggplot series: ...

[Read more...] This document describes an expansion of the R graphics engine to support stroking and filling paths.
Paul Murrell
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[Read more...] One of the difficult parts of running a group in an online space is maintaining social interactions that you would normally foster with in-person meetups. R Consortium talks to Adnan...
The post Birmingham R talks about the difficulties of socializing in an online space appeared first on R Consortium.

[Read more...]“Hiding within those mounds of data is the knowledge that could change the life of a patient, or change the world.”
— Atul Butte body {text-align: justify} Introduction In this blog post, we are going to develop a time series ARIMA and Holt Winters ... [Read more...]

Filip Wästberg, Vilgot Österlund, and Jesper Ludvigsen are data science consultants at Solita Sweden. Solita, an RStudio Full Service Partner, is made up of a community of skilled experts in northern Europe with a goal of delivering impact that lasts....

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“Hiding within those mounds of data is the knowledge that could change the life of a patient, or change the world.”
— Atul Butte
Introduction
In this blog post, we are going to develop a time series ARIMA and Holt Winters model and compare model performance. The data to be used ...

[Read more...]
In this first post I’m going to present a way of obtaining age- and sex-adjusted incidence rates using poisson regression in R. This will be similar to what is done in Stata as described here.
I’ve written a R function that’s available for download h... [Read more...]

This document describes an expansion of the R graphics engine to support a number of new graphical features: isolated groups, compositing operators, and affine transformations. ...

[Read more...]You can read the original post in its original format on Rtask website by ThinkR here: {attachment} v0.2.3: fill the Remotes field
A new version of {attachment} is available on CRAN. Get dependencies installed from GitHub, GitLab, … and add the link to the ‘Remotes’ field in the DESCRIPTION file of ... [Read more...]

As technology and research methods advance, the data sets tend to be larger and the methods more exhaustive. Consequently, the analyses take longer to run. This poses a challenge when the results are to be presented using R Markdown. One has to walk the line between reproducibility and efficiency. On ... [Read more...]

When knitting an R Markdown document after the first time, errors may sometimes appear. Three tips are recommended below.
1. Close PDF reader window
When the document is knitted through the ‘Knit’ button, a PDF reader window opens to present the result. Closing this window can help resolve knitting errors.
2. Delete ... [Read more...]

Jaccard Similarity in R, The Jaccard similarity index compares two sets of data to see how similar they are. It might be anywhere between 0 and 1. The greater the number, the closer the two sets of data are.
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The Jaccard Index is a stat...

[Read more...]Jaccard Similarity in R, The Jaccard similarity index compares two sets of data to see how similar they are. It might be anywhere between 0 and 1. The greater the number, the closer the...
The post How to Calculate Jaccard Similarity in R appeared first on finnstats. [Read more...]

Below, I describe how to type hint some of the dunder methods of a subclass of the built-in Python list.
I begin by describing why I wanted to do this in the first place, then, with the aim of being somewhat pedagogical, how I figured out what to do be...

[Read more...] "R Python" continued... Random forests with monotonic constraints

[Read more...]Episode 1: QuestDB, NocoDB, ADOP and you-get In Episode 1, we take a look at: QuestDB, an ultra-fast time series database; NocoDB, a web-based smart spreadsheet for teams; ADOP creating virtual reality from a few images; and you-get, a tiny command line interface to quickly download video files, audio files and images ... [Read more...]

The Chow test is used to compare the coefficients of two distinct regression models on two separate datasets.
This test is commonly used in econometrics using time series data to evaluate if the data has a structural break at some point.
Correla...

[Read more...] The Chow test is used to compare the coefficients of two distinct regression models on two separate datasets. This test is commonly used in econometrics using time series data to evaluate if the data...
The post How to do Chow Test in R appeared first on finnstats.

[Read more...] The NHS-R Virtual Conference concluded this week and we have had a number of excellent speakers from the Health & Social Care sector, alongside working with key partners of interest. It kicked off with a full day jammed packed of speakers from all over the NHS. The second day we had ...

[Read more...]Summary
Version v0.1.2 of my R package kgrams was just accepted by CRAN. This package provides tools for training and evaluating k-gram language models in R, supporting several probability smoothing techniques, perplexity computations, random text generation and more.
Short demo

library(kgrams) # Get k-gram frequency counts from Shakespeare's "Much Ado About Nothing" freqs <- kgram_freqs(kgrams::much_ado, N = 4) # Build modified Kneser-Ney 4-gram model, with discount parameters D1, D2, D3. mkn <- language_model(freqs, smoother = "mkn", D1 = 0.25, D2 = 0.5, D3 = 0.75) # Sample sentences from the language model at different temperatures set.seed(840) sample_sentences(model = mkn, n = 3, max_length = 10, t = 1)

[1] "i have studied eight or nine truly by your office [...] (truncated output)" [2] "ere you go : <EOS>" [3] "don pedro welcome signior : <EOS>"

sample_sentences(model = mkn, n = 3, max_length = 10, t = 0.1)

[1] "i will not be sworn but love may transform me [...] (truncated output)" [2] "i will not fail . <EOS>" [3] "i will go to benedick and counsel him to fight [...] (truncated output)"

sample_sentences(model = mkn, n = 3, max_length = 10, t = 10)

[1] "july cham's incite start ancientry effect torture tore pains endings [...] (truncated output)" [2] "lastly gallants happiness publish margaret what by spots commodity wake [...] (truncated output)" [3] "born all's 'fool' nest praise hurt messina build afar dancing [...] (truncated output)"NEWS Overall Software Improvements ... [Read more...]

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