Sep 30
(Ugly) custom case for Amazon Kindle 3rd generation
icon1 Mikkel Meyer Andersen | icon4 September 30, 2010 at 12:20 (UTC) | icon3 No Comments »
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At couple of days ago I got my Amazon Kindle ($139, 3rd gen.). So far I'm really happy with it! While buying it, I decided that the cases were too expensive compared to the device. So I decided to make one myself. And as suspected, there was no happy end in that story. So hopefully the Amazon guys will read this post and view the pictures. And pity me. But the device itself is awesome and I enjoy using it. Only a couple of objections:

  • Come on: use an open e-book format
  • Support a library loan function (I know it's against your business as such, but it would be nice)

And the pictures:

Sep 15
STA: Statistical Toolbox for Android now in version 0.4
icon1 Mikkel Meyer Andersen | icon4 September 15, 2010 at 20:52 (UTC) | icon3 No Comments »
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STA: Statistical Toolbox for Android has recently been updated to version 0.4. Among news compared to version 0.3 is the support for performing one way ANOVA and two kinds of Student's t-test. View a full changelog here.

To present the application, it offers three main areas:

  • Distribution tool
  • Statistical tests
  • Descriptives

Distribution tool

The distribution tool offers the following features: plot the pdf/pmf, properties (like mean value, variance, and support), cumulative probability, point mass/density, quantiles, and generating/sampling from the distribution. The probability distributions supported are:

Discrete probability distributions:

  • Binomial
  • Hypergeometric
  • Negative binomial (or Pascal as it is also called)
  • Poisson
  • Zipf

Continuous probability distributions:

  • Beta
  • Cauchy
  • Chi^2 (Chi squarred)
  • Exponential
  • F (or Fisher-Snedecor as it is also called)
  • Gamma
  • Normal (or Gaussian as it is also called)
  • Student's t
  • Weibull

Statistical tests

At the moment, the following tests are supported:

  • One way ANOVA (i.e. univariate)
  • Chi^2 tests: Pearson's Chi^2 test for independence and observed vs expected counts
  • Two sample Student's t-tests: both homoscedastic and heteroscedastic are supported

Descriptives

The following descriptive statistics about an entered dataset are given:

  • Number of observations
  • Min
  • Max
  • Mean
  • Standard deviation
  • Variance
  • Median
  • Skewness
  • Kurtosis

Comments

Please do not hesitate to express you thought about the application. Also, ideas for further functionality are warmly welcome! And donations to support the continuous development are highly appreciated (donations can be made by using the box in the upper right corner of this page)!