Multiple pie charts are not the only problem with figures from the Jerusalem Post. Two mistakes with using color are pointed out.

March 19, 2015

By Naomi RobbinsJanuary 8, 2014

By Naomi RobbinsNovember 27, 2013

By Naomi RobbinsFebruary 12, 2013

By Naomi RobbinsFebruary 5, 2013

By Naomi RobbinsFebruary 4, 2013

By Naomi RobbinsNewspapers are expected to check facts and report accurately. Why, then, should they not also be expected to check their charts and graphs and ensure that they are accurate. Figure 1 appears on page 13 of the February 4, 2013 issue of NJBIZ. My measurements show that the green square is about 9% of the […]

January 18, 2013

By Naomi RobbinsJanuary 15, 2013

By Naomi RobbinsJanuary 10, 2013

By Naomi RobbinsJanuary 9, 2013

By Naomi Robbins- Access to Statistics
- Adventures in Analytics and Visualization
- Adventures in R
- All Things R
- Analysis with Programming
- analyze stuff
- Asymptotically Unbiased
- BayesFactor: Software for Bayesian inference
- Big Data, Plainly Spoken (aka Numbers Rule Your World)
- BioStatProf
- Blog about Stats
- blog.RDataMining.com
- Bot Thoughts
- Burns Statistics
- Carlisle Rainey » Methods/Statistics
- conjugateprior
- CoolStatsBlog
- dahtah
- Daniel’s Blog
- Darren Wilkinson’s research blog
- Data Miners Blog
- Data Mining – Blog.com
- Data Mining: Text Mining, Visualization and Social Media
- Data, Evidence, and Policy – Jared Knowles
- DiffusePrioR
- Doing Bayesian Data Analysis
- eagereyes
- Econometrics Beat: Dave Giles’ Blog
- Econometrics By Simulation
- Effective Graphs
- Engaging Market Research
- Fiddling with data and code
- FishyOperations » R
- Getting Genetics Done
- Gianluca Baio’s blog
- Graph of the Week
- Honglang Wang’s Blog
- Hyndsight
- Hyndsight on Rob J Hyndman
- I say things
- information aesthetics
- Junk Charts
- Learn and Teach Mathematics and Statistics
- Learning Slowly
- Machine Master
- mages’ blog
- Nicebread
- No Hesitations
- Normal Deviate
- NumberTheory » R stuff
- On the lambda
- One R Tip A Day
- Point Mass Prior
- Political Methodology
- Probably Overthinking It
- Psychological Statistics
- Publishable Stuff
- R Chronicle
- R language – Portfolio Probe
- R snippets
- R Tutorial
- R – rbresearch
- R – Statisfaction
- R – Systematic Investor
- R – The stupidest thing…
- R – Xi’an’s Og
- r4stats.com
- rblogs – Quantum Forest
- Realizations in Biostatistics
- Rstats – bayesianbiologist
- SAS and R
- SAS Programming for Data Mining
- Serious Stats
- Sharp Statistics
- Simply Statistics
- Stat Bandit
- Statistical Modeling, Causal Inference, and Social Science
- Statistical Research
- statistics – BioStatMatt
- Statistics – Error Statistics Philosophy
- Statistics – Freakonometrics
- Statistics – I’ve Moved! Click Here
- Statistics – John D. Cook
- Statistics – Learning From Data
- Statistics – Statisfaction
- Statistics – The Chemical Statistician
- Statistics – The stupidest thing…
- Statistics – Win-Vector Blog
- The Analysis Factor
- The Data Game – Ilan Man
- The DO Loop
- The R Trader
- Three-Toed Sloth
- TRinker’s R Blog
- TRinker’s Stats Blog
- Vik’s Blog
- Wiekvoet
- Yihui’s Blog on Yihui Xie | 谢益辉

- You need 16 times the sample size to estimate an interaction than to estimate a main effect
- Add Your Blog
- Classical hypothesis testing is really really hard
- A more formal take on the multiverse
- IJF Tao Hong Award 2018
- Math Notation for R Plot Titles: expression, bquote, & Greek Letters
- I fear that many people are drawing the wrong lessons from the Wansink saga, focusing on procedural issues such as “p-hacking” rather than scientifically more important concerns about empty theory and hopelessly noisy data. If your theory is weak and your data are noisy, all the preregistration in the world won’t save you.
- The Many Faces of R
- Reasons for an optimistic take on science: there are not “growing problems with research and publication practices.” Rather, there have been, and continue to be, huge problems with research and publication practices, but we’ve made progress in recognizing these problems.
- Here’s the title of my talk at the New York R conference, 20 Apr 2018: