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)!

Jul 14
STA version 0.2
icon1 Mikkel Meyer Andersen | icon4 July 14, 2010 at 19:06 (UTC) | icon3 No Comments »
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Already an update with the following changes from version 0.1:

General:

  • Icon changed
  • Decimal separator always "." no matter the chosen locale of the phone (for consistency purposes)
  • Screen rotate issues fixed

Distribution tool:

  • Typing error: Continuous distributions density output changed from "F([input]) = ..." to "f([input]) = ..."
  • Error description at the parameter tab if the parameters are illegal when trying to plot
  • Descriptives gets calculated automatically when sampling data
  • The link under properties has been made clickable
Jul 13
STA (Statistical Toolbox for Android) version 0.1
icon1 Mikkel Meyer Andersen | icon4 July 13, 2010 at 10:50 (UTC) | icon3 No Comments »
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Finally, a ("beta") version 0.1 of STA is available on the market. Just search for STA. Please let me know if you run into trouble or would like certain features!

Jul 6
STA: Statistical Toolbox for Android
icon1 Mikkel Meyer Andersen | icon4 July 6, 2010 at 13:32 (UTC) | icon3 3 Comments »
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After having done some preliminary application development for Android (and finally finished my master's), I've decided to start a new project. And to blog about the creation of this new project. (As an aside I would really like to point out that I haven't forgot about Watexy, but for now it is not possible to improve it.)

The aim of the project is to develop an Android-application with basic statistical tools (I really miss R on my phone, but the project won't be a R-clone nevertheless). So far the codename for the application is Statistical Toolbox for Android (or simply STA).

It is not going to be a programming language such as S, but an easy-to-use graphical statistical toolbox. The features I've thought about including in the first version are:

  • Quantiles (and fractiles) for a wide range of univariate probability distributions
  • Descriptive statistics (the first two or three empirical moments, correlation measures)
  • A guide for choosing the right statistical test

The features for the later versions could be:

  • Loading datasets (from mail, files on SD-card, or manual input)
  • A range of statistical tests

If any of you have any comments, please do not hesitate to submit a comment here or by mail (use the contact form accessible from the top menu or by sending an e-mail to the reverse of mikl.dk @ scienco ).