Words are easy, like the wind;
Faithful friends are hard to find.
Critters that definitely don't exist but, perhaps, should.
The backal is probably a feisty biter while the cakmiran probably has a quizzical look. And I would completely avoid the fangol—he sounds like trouble.
A great exercise for kids and the comedic-at-heart would be to try to draw some of these. What would a gakrin look like? Or a gorderish?
Below are the alphabetically first 4–10 letter single-word unanimals for each letter. In some cases, no names of a given length were generated for a given letter.
Here are all some lists with common suffixes
*ish camfish gallish gawlish gohfish gurrish jatfish mipkish polmish wamfish gorderish shipopish slarmish soulfish tolrfish wadmfish weendefish
*ile halile iykile weadnrile cragiile file gile
*ale anmale calilale disteale halalale hale saale
*use bampuse caeffuse marppuse kouse ufuse
*her banher coocher lorsher anlfilher wher
*tar codtar mistar soridioatar wortautar
*ole rorole cadtole wurkole cole
*ise seaise shoise guceyrise
Outliers can degrade the fit of linear regression models when the estimation is performed using the ordinary least squares. The impact of outliers can be mitigated with methods that provide robust inference and greater reliability in the presence of anomalous values.
We discuss MM-estimation and show how it can be used to keep your fitting sane and reliable.
Greco, L., Luta, G., Krzywinski, M. & Altman, N. (2019) Points of significance: Analyzing outliers: Robust methods to the rescue. Nature Methods 16:275–276.
Altman, N. & Krzywinski, M. (2016) Points of significance: Analyzing outliers: Influential or nuisance. Nature Methods 13:281–282.
Two-level factorial experiments, in which all combinations of multiple factor levels are used, efficiently estimate factor effects and detect interactions—desirable statistical qualities that can provide deep insight into a system.
They offer two benefits over the widely used one-factor-at-a-time (OFAT) experiments: efficiency and ability to detect interactions.
Since the number of factor combinations can quickly increase, one approach is to model only some of the factorial effects using empirically-validated assumptions of effect sparsity and effect hierarchy. Effect sparsity tells us that in factorial experiments most of the factorial terms are likely to be unimportant. Effect hierarchy tells us that low-order terms (e.g. main effects) tend to be larger than higher-order terms (e.g. two-factor or three-factor interactions).
Smucker, B., Krzywinski, M. & Altman, N. (2019) Points of significance: Two-level factorial experiments Nature Methods 16:211–212.
Krzywinski, M. & Altman, N. (2014) Points of significance: Designing comparative experiments.. Nature Methods 11:597–598.
Celebrate `\pi` Day (March 14th) and set out on an exploration explore accents unknown (to you)!
This year is purely typographical, with something for everyone. Hundreds of digits and hundreds of languages.
A special kids' edition merges math with color and fat fonts.
One moment you're
:) and the next you're
Make sense of it all with my Tree of Emotional life—a hierarchical account of how we feel.
One of my color tools, the
colorsnap application snaps colors in an image to a set of reference colors and reports their proportion.
Below is Times Square rendered using the colors of the MTA subway lines.
Drugs could be more effective if taken when the genetic proteins they target are most active.
Design tip: rediscover CMYK primaries.
Ruben et al. A database of tissue-specific rhythmically expressed human genes has potential applications in circadian medicine Science Translational Medicine 10 Issue 458, eaat8806.