Collaborate Disseminate
(reminder: Quick Hits have minimal explanatory blathering, but I can elaborate on anything if folks submit a comment). I’m playing around with Screen Time on xOS again and noticed mdls (macOS command line utility for getting file metadata) has a -plist… Continue reading Quick Hit: Processing macOS Application Metadata Weirdly Fast with mdls and R
Greynoise helps security teams focus on potential threats by reducing the noise from logs, alerts, and SIEMs. They constantly watch for badly behaving internet hosts, keep track of the benign ones, and use this research to classify IP addresses. Teams … Continue reading Help Your Mac Stand Between The Darkness And The Light with GreyWatch
Apple M1/Apple Silicon/arm64 macOS can run x86_64 programs via Rosetta and most M1 systems currently (~March 2021) very likely run a mix of x86_64 and arm64 processes. Activity Monitor can show the architecture: but command line tools such as ps and to… Continue reading Retrieve Process Run-time Architecture on Apple Silicon Macs On The Command Line with `archinfo`
Horrible puns aside, hopefully everyone saw the news, earlier this week, from @thomasp85 on the evolution of modern typographic capabilities in the R ecosystem. Thomas (and some cohorts) has been working on {systemfonts}, {ragg}, and {textshaping} for … Continue reading Getting Into the Rhythm of Chart Typography with {ragg} and {hrbragg} (a.k.a. It’s {ragg}-time}
💙 Expand for EKG code library(hrbrthemes) library(elementalist) # remotes::install_github(“teunbrand/elementalist”) library(ggplot2) read_csv( file = “~/Data/apple_health_export/electrocardiograms/ecg_2020-09-24.csv”, # this is extracted below skip = 1… Continue reading Extracting Heart Rate Data (Two Ways!) from Apple Health XML Export Files Using R (a.k.a. The Least Romantic Valentine’s Day R Post Ever)
Presented without much commentary since I stopped once {ggrepel} and {graphlayouts} failed (RStudio doesn’t support it yet, either, which I knew). The following steps will get you a fully working and STUPID FAST fully native ARM64 M1/Apple Silicon R se… Continue reading Fully Native M1/Apple Silicon R Setup
If you’ve been following me around the internets for a while you’ve likely heard me pontificate about the need to be aware of and reduce — when possible — your personal “cyber” attack surface. One of the ways you can do that is to install as few applic… Continue reading Getting a Handle on macOS App Entitlements with R
I was chatting with a fellow Amazon Athena user and the topic of using Presto functions such as approx_distinct() via {d[b]plyr} came up and it seems it might not be fully common knowledge that any non-already translated function is passed to the desti… Continue reading Amazon Athena {dbplyr} Implicit Usage of Presto Functions and Making JSON Casting Great Again
(this is an unrolled Twitter thread converted to the blog since one never knows how long content will be preserved anywhere anymore) It looks like @StackPath (NetCDN[.]com redirects to them) is enabling insurrection-mongers. They’re fronting news[.]par… Continue reading Parler Whack-a-Mole
The past two posts have (lightly) introduced how to use compiled Swift code in R, but they’ve involved a bunch of “scary” command line machinations and incantations. One feature of {Rcpp} I’ve always 💙 is the cppFunction() (“r-lib” zealots have a simil… Continue reading Making It Easier To Experiment With Compiled Swift Code In R