What's new

BrightStat.com has been completely redesigned as a web application for statistics and data visualization.

  • Do statistics on tablets and mobile devices
  • Better integration on all devices
  • Interactive graphs
  • HTML5, CSS, Javascript
  • Faster computations
  • Presentation mode
  • secure connection
  • lots of bugfixes


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BrightStat tips


Excel upload

You can upload your data in Microsoft Excel format. If this does not work, you can always export your data as a tab-delimited text file from within Microsoft Excel and upload the text file. This should work properly. Read more about how to prepare your data for BrightStat



By default brightstat rounds the results to five and p-values to three decimal places. If you need more presicion, just click on the the result cell in the output table.


Automatic recode

BrightStat lets you recode categorical variables, often coded as strings, into ascending numbers automatically. Just select 'Automatic Recode' in the 'Data Menu' and indicate the variables to be recoded. The old values will be stored as value labels for the new numeric variable.


BrightStat sample files

In the 'Data Menu' there is 'Load Sample Datafile' in the first column 'Data File'. There you'll find a list of sample files (including files for all examples on BrightStat's website). So you can start discovering BrightStat right away.


BrightStat calculator

BrightStat has a built in calculator which allows you to compute new variables with existing ones. If you have measured the weight (in kg) and height (in meters) of n subjects you can easily compute the body mass index (BMI) for all subjects. If your variables are named 'weight' and 'height' the formula would be: _weight/_height^2.
The sample file 'BodyFat' contains the variables 'Weight' (pounds) and 'Height' (inches), so the formula for calculating the BMI needs some adjustment in that case: (_Weight*0.45359237)/(_Height*2.54/100)^2.
Note: In the formula a variable name is always preceded by an underscore '_'.


Editing your data

BrightStat is not intended to be a data editor. Small changes can be done without problems but be aware that editing your data in Brighstat's data window may be very time consuming, especially with larger data files.
It is strongly recommended to prepare your data for BrightStat before uploading it into the database. A period '.' will be treated as a missing value.
How to prepare your data for BrightStat


Set data filter

You can define a filter variable for your data. Analysis and graphs are then performed for selected cases only. Select 'Filter Data' from the menu and indicate which values of which variables should be included in the analysis.


Split your datafile

You can split your datafile using a categorical variable. All tests and/or graphs are then performed for the individual categories of the split variable. Select 'Split Data' from the menu and indicate one or more split variables.

more details


Stricker, D. (2008). BrightStat.com: Free statistics online. Computer Methods and Programs in Biomedicine, 92, 135-143.


Version history

2016-05-20 v1.2.10

  • BrightStat now offers academic licenses: As a teacher or lecturer of an academic institution you may apply for your academic account and get academic licenses for the first year for your class for free.
  • When signing out from BrightStat's web application, the data is now reset. If you have cached your data file locally and sign in again, your data will be automatically restored from the local cache.
  • Minor bugs fixed

2016-04-01 v1.2.9

  • New feature added: You can now cache your working datafile on your local machine. The file will persist until the browser cache is emptied or someone else logs into BrightStat.com using the same browser on your machine (only with browsers' private mode set to off). A cached file will load automatically when BrightStat's web application is restarted. Cache datafile works only if you are logged in.
  • Bugfix in MANOVA and Repeated ANOVA for factors containing missing values. When a factor contains missing values, the ANOVA, MANOVA and Repeated ANOVA will now be computed.
  • Bugfix in MANOVA and Repeated ANOVA for 2-way interaction graphs. Interactions are now correctly displayed for observed and estimated means.

2016-02-25 v1.2.8

  • Minor bug fixed: Display N observed values per category in simple line, column and area charts
  • Amy's memory consolidation example for two independent samples t-test: Data added to BrightStat's sample data

2016-02-01 v1.2.7

  • Delete Variables: You can now select variables to be deleted from your datafile.
  • Rearrange Variables: You can now rearrange the variables in your datafile.
  • Bugfix: Reset weight cases and split data after deletion of a datarow.

2016-01-27 v1.2.6

  • Bugfix: Frequency tables now export properly when the output is stored in the database.

2016-01-22 v1.2.5

  • Graph plots have been added to all ANOVA procedures. The user may now select column, line or area graphs for main effect(s) and two-way interaction(s) for observed and/or estimated means (where appropriate). Additionally errorbars may be plotted either as a confidence intervals or as standard errors.
  • For line, column and area graphs the possibility to change the categories' order and naming on the x-axis has been added.
  • Minor bugs fixed

2015-11-24 v1.2.4

  • Code for missing values can now be indicated for data upload. Minor optimization for reliability procedure: faster detection of constant variables that have to be eliminated from analysis.

2015-09-26 v1.2.3

  • Minor bugs fixed

2015-09-09 v1.2.2

  • Type I sum of squares added for ANOVA and MANOVA procedure. While a model with type III sum of squares corrects every effect against all other effects, a type I sum of squares ANOVA model corrects every effect against all previously entered effects. The order of effects entering the model affects the outcome in an unbalanced multifactorial (non equal cell n) design.

2015-09-02 v1.2.1

  • Minor bugs fixed for Survival plot

2015-08-27 v1.2.0

  • Kaplan Meier survival analysis has been added. Inclusive tests for equality of survival functions and statistic for linear trend. Four different plots (Survival, 1-Survival, Hazard [-ln(Survival)] and ln(Survival)) are available together with customizable confidence intervals.

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BrightStat Visualizer


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