Blog Archives

Nifty Upcoming Enhancements to unpack/to

February 22, 2020
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We have some really nifty upcoming enhancements to wrapr unpack/to. One of the new notations is the use of := as an alternate assignment operator for unpack/to. This lets us write code like the following. First let’s attach our package and set up some example data. library(wrapr) # attach package packageVersion("wrapr") # confirm we have … Continue reading Nifty...

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What is New For vtreat 1.5.2?

February 9, 2020
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vtreat version 1.5.2 just became available from CRAN. We have a logged a few improvement in the NEWS. The changes are small and incremental, as the package is already in a great stable state for production use. One of the biggest improvements is documentation clean up, and adapting the examples to use wrapr unpack/to multiple … Continue reading What...

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New improved cdata instructional video

February 8, 2020
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We have a new improved version of the “how to design a cdata/data_algebra data transform” up! The original article, the Python example, and the R example have all been updated to use the new video. Please check it out!

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New Data Scientist Stickers

February 5, 2020
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New Data Scientist Stickers

We have a new data scientist sticker! If you see Nina or John at a conference/MeetUp, please ask us for a sticker!

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wrapr Update: Removing Some Under-Used Functions and Classes

February 4, 2020
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For the next version of the R package wrapr we are going to be removing a number of under-used functions/methods and classes. This update will likely happen in March 2020, and is the start of the wrapr 2.* series. Most of the items being removed are different abstractions for helping with function composition. We ended … Continue reading wrapr...

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R Tip: Check What Repos You are Using

February 2, 2020
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In a lot of our R writing we casually say “install from CRAN using install.packages('PKGNAME')” or “update your packages by using update.packages(ask = FALSE, checkBuilt = TRUE) (and answering ‘no’ to all questions about compiling).” We recently became aware that for some users this isn’t complete advice. The above depends on your R install pointing … Continue reading R...

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Data re-Shaping in R and in Python

January 28, 2020
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Nina Zumel and I have a two new tutorials on fluid data wrangling/shaping. They are written in a parallel structure, with the R version of the tutorial being almost identical to the Python version of the tutorial. This reflects our opinion on the “which is better for data science R or Python?” They both are … Continue reading Data...

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wrapr 1.9.6 is now up on CRAN

January 26, 2020
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wrapr 1.9.6 is now up on CRAN

wrapr 1.9.6 is now up on CRAN. We unfortunately usually forget to say this. A big thank you to the staff and volunteers at CRAN. As part of this release Nina Zumel has streamlined the unpack vignette, picking and recommending specific notations for the unpack method. We are looking forward to using the new wrapr … Continue reading wrapr...

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Why we wrote wrapr to/unpack

January 22, 2020
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One reason we are developing the wrapr to/unpack methods is the following: we wanted to spruce up the R vtreat interface a bit. We had recently back-ported a Python sklearn Pipeline step style interface from the Python vtreat to R (announcement here). But that doesn’t mean we are not continuing to make enhancements to the … Continue reading Why...

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Using unpack to Manage Your R Environment

January 21, 2020
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In our last note we stated that unpack is a good tool for load R RDS files into your working environment. Here is the idea expanded into a worked example. # remotes::install_github("WinVector/wrapr") library(wrapr) a

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