Notices tagged with rstats, page 25

April 2019: "Top 40" New CRAN Packages https://link.rweekly.org/eiv #rstats #datascience

Achim Zeileis: Other visualizations of departures from indepence include mosaicplots with shading or association plots. See mosaicplot() and assocplot() and the package vcd.
Peter Dalgaard: I see that you've taken initive to abbriate statiscal concepts...
-- Achim Zeileis and Peter Dalgaard
R-help (January 2005) #Rstats

Josh O'Brien: Figuring out what was going on here obsessed me for several days, before I realized "Oh, duh. I should ask this on [Stackoverflow] and get some better minds working on this for me!"
Brandon Bertelsen: I've learned to give up after 30 minutes. It's cheaper to pay people in checkmarks and upvotes :)
-- Josh O'Brien and Brandon Bertelsen (discussing a package's definition of reorder.factor changing results)
Stackoverflow (October 2012) #Rstats

How to keep up with CRAN policies and processes? https://link.rweekly.org/eii #rstats #datascience

Employee flight risk modeling behavior https://link.rweekly.org/eih #rstats #datascience

Introduction to Funnel Plots https://link.rweekly.org/eic #rstats #datascience

emayili: Sending Email from R https://link.rweekly.org/ehn #rstats #datascience

Quelles sont les intersections les plus dangereuses pour les piétons et les cyclistes (update) https://link.rweekly.org/ehk #rstats #datascience

startup - run R startup files once per hour, day, week, ... https://link.rweekly.org/ehb #rstats #datascience

How to interactively examine any R code - 4 ways to not just read the code, but delve into it step-by-step https://link.rweekly.org/eh3 #rstats #datascience

Rstudio & ThinkR roadshow – June 6 – Paris https://link.rweekly.org/egh #rstats #datascience

getTBinR 0.6.0 now on CRAN - from 80 variables to more than 450! https://link.rweekly.org/eg6 #rstats #datascience

Momentum Investing with R https://link.rweekly.org/eir #rstats #datascience

AI, Machine Learning and Data Science Roundup: May 2019 https://link.rweekly.org/eip #rstats #datascience

Sorting is a wonderful topic! Especially because you can discuss different fundamental ideas like brute force, divide and conquer, and questions of efficiency, tradeoffs of space and time, etc.
-- Peter Wolf
R-help (April 2004) #Rstats

The issue really comes down to the fact that the questions: "exactly normal?", and "normal enough?" are 2 very different questions (with the difference becoming greater with increased sample size) and while the first is the easier to answer, the second is generally the more useful one.
-- Greg Snow (answering a question about a "normality test" suitable for large data)
R-help (April 2009) #Rstats

Census Academy Launches with Two R Courses https://link.rweekly.org/ehs #rstats #datascience

Census Academy Launches with 2 R Courses https://link.rweekly.org/ehr #rstats #datascience

ramlegacy: a package for RAM Legacy Database https://link.rweekly.org/ehq #rstats #datascience

A sufficiently trained statistician can read the vagaries of a Q-Q plot like a shaman can read a chicken's entrails, with a similar recourse to scientific principles. Interpreting Q-Q plots is more a visceral than an intellectual exercise. The uninitiated are often mystified by the process. Experience is the key here.
-- Department of Mathematics and Statistics, Murdoch University
StatsNotes #Rstats