Create Air Travel Route Maps that look like airline route maps you find in aeroplane magazines using ggplot. Spatially visualise your travel diary. Continue reading →
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The R core group announced today the release of R 3.3.3 (code-name: “Another Canoe”). As the wrap-up release of the R 3.3 series, this update mainly contains minor bug-fixes. (Bigger changes are planned for R 3.4.0, expected in mid-April.) Binaries for the Windows version are already up on the CRAN master site, and binaries for all platforms will appear on your local CRAN mirror within the next couple of days. R 3.3.3 fixes an issue related to attempting to use download.file on sites that automatically redirect from http to https: now, R will re-attempt to download the secure link rather…
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In this screencast we demonstrate how to easily and effectively step-debug magrittr/dplyr pipelines in R using wrapr and replyr. Some of the big issues in trying to debug magrittr/dplyr pipelines include: Pipelines being large expressions that are hard to line-step into. Visibility of intermediate results. Localizing operations (in time and code position) in the presence … Continue reading Step-Debugging magrittr/dplyr Pipelines in R with wrapr and replyr
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When describing a sample, researchers in my field often show proportions of specific characteristics as description. For instance, proportion of female persons, proportion of persons with higher… Read more “Descriptive summary: Proportions of values in a vector #rstats”
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The previous post glossed about why I now prefer Python to write code, including for a module like logopt. This post explains in more details some specific differences where I prefer one of these two languages:0-based indexing in python versus 1-based indexing in R. This may seem a small difference but for me, 0-based indexing is more natural and results in less off by one errors. No less than Dijkstra opines with me on 0-based indexing.= versus <- for assignment. I like R approach here, and I would like to see more languages doing the same. I still sometimes end up using = where I wanted ==. If only R would allow <- in call arguments. CRAN versus pypiCRAN is much better for the user, the CRAN Task Views is a gold mine, and in general CRAN is a better repository, with higher quality packages.But publishing one CRAN is simply daunting, and the reason logopt remained in R-Forge only. The manual explaining how to write extensions is 178 pages long.Python has better data structures, especially the Python dictionary is something I miss whenever I write in R. Python has no native dataframe, but this is easily taken care of by importing pandas.Object orientation is conceptually clean and almost easy to use in Python, less so in R.Plotting is better in R. There are some effort to make Python better in that area, especially for ease of use. Matplotlib is powerful but difficult to master.lm is a gem in R, the simplicity with which you can express the expressions you want to model is incredibleAll in all, I prefer coding in Python. This is a personal opinion of course, and R remains important because of some packages, but for more general purpose tasks, Python is simpler to use, and that translates in being more productive.
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Short version: if RStudio on Windows 7 crashes when viewing vignettes in HTML format, it may be because those packages specify knitr::rmarkdown as the vignette engine, instead of knitr::knitr and you’re using rmarkdown v1. Longer version with details – read on. update: looks like this issue relates to the installed version of rmarkdown (1.3 in my … Continue reading HTML vignettes crashing your RStudio? This may be the reason
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I am participating in a session at userR 2017 this coming July focusing on discovering and learning about R packages. How do R users find packages that meet their needs? Can we make this process easier? As somebody who is relatively new to the R world …
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Mark Sellors Head of Data Engineering Turn a shiny application into a tablet or desktop app Since we first demoed it at our really successful trip to Strata London last year, a few people have asked us how we made … Continue reading →
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Guest blog post by Ian White.
With the recent spate of fake news (why can’t we just call them lies?), I started thinking about the growing chasm between statistical/fact creators and media consumers. Historically we have put our trust in the …
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Guest blog post by Ian White.
I recently stumbled across a research paper, Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US, which piqued my interest in derivative uses of data, an ongoing research…
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