On this page you find information on:

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Download Brodgar and the manual

bullet

Brodgar prices

bullet

Order Brodgar.

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Brodgar update information (what was added in the latest version).

 

1. Download Brodgar and the manual

The evaluation version of Brodgar (for Windows operating systems) is a fully working version, except that only demonstration data sets can be used. 

Join our (moderated) mailing list for information on updates, new features, technical Brodgar questions and information on courses, etc.:  http://lists.highstat.com/mailman/listinfo/brodgar

Download the latest Brodgar version

  1. Download Brodgar version 2.5.6 from our UK site or US site

  2. Download R version 2.6 from our UK site or our US site. This package is freely available.

  3. If you intent to use multivariate tree models, download the R library mvpart. If you intent to make violin graphs, download the violin library. It also needs the sm library.

  4. Install R on your computer by clicking on the R installation file.

  5. To install the mvpart or violin libraries, Start R and click on: Packages - Install package from local zip file... You only need to do this once (unless you install a new R version).

  6. Quit R.

  7. Install Brodgar by clicking on the Brodgar setup file.

  8. Start Brodgar. 

  9. If the "Link Brodgar & R" button is red, click on it and follow the instructions.

Feedback is welcome. 

Manual

The manual of Brodgar is available as a pdf file, and it can be downloaded free of charge. However, Brodgar has been programmed in such a way that you do not need a manual. Because we are adding new methods all the time, the manual may look different compared to the actual Brodgar version. 

Manual 

Cover
Chapter 1. Introduction (updated: 25 September 2006)
Chapter 2. Installing & Running Brodgar (updated: 25 September 2006)
Chapter 3. Import Data in Brodgar (updated: 25 September 2006)
Chapter 4. Data Exploration (updated: 8 August 2004, awaiting grammatical corrections)
Chapter 5. Univariate techniques (updated: 27 December 2005, awaiting  grammatical corrections).

Power analysis supplement (updated: 1 December 2005, awaiting  grammatical corrections).

Chapter 6. Multivariate techniques (updated: 5 October 2004, awaiting grammatical corrections)
Chapter 7. Time series (updated: 8 August 2004, awaiting grammatical corrections)
 

Data capacity. 

bulletThe data import process can cope with approximately half a million data cells.
bulletOrdination techniques: The upper limit for the number of variables is 2000. If requested, we can compile (free of charge) a version which can cope with more variables.
bulletTime series: we advise to limit the dynamic factor analysis to approximately 20 time series. Other time series techniques can cope with larger data sets.

2. Brodgar prices (for all Windows OS)

Item

Price in UK pounds 

(Approximate exchange rates: 1 UK pound = 1.4 EURO / 1.83 US dollar)

All licenses are valid for 5 years. During these 5 years you have access to free updates. 

1 Brodgar student license £150
1 Brodgar license £200
Departmental/classroom license. This is a license for up to 25 users. Useful for small departments and class-room teaching. £275
Institutional/university-campus license. Allows you to make Brodgar available to each employee or student (e.g. on a general computer network or on individual work computers).   £350
Institutional/university-campus license plus use at home. Allows you to make Brodgar available to each employee or student (e.g. on a general network or on individual work computers).  Employees and students are allowed to install Brodgar on their home computers.  £425

We do not charge VAT to non-EU customers. 

Prices are excluding 17.5% VAT. Reduction (50%) for developing countries. 

 

VAT

Under European Union (EU) rules, UK companies are no longer required to charge 17.5% VAT to:

  1. Non-EU customers.
  2. Customers in other EU countries, who are registered for VAT in their own country. 

We have to charge VAT to all private and business customers in the UK, and to all private, non-business customers and business customers who are not registered for VAT in their own country, in the EU. 

3. Order Brodgar

Methods of ordering and payment:

  1. Credit card. Please use the form below.
  2. Cheque, electronic bank transfer or off-line credit card payment. We accept cheques in US dollars, UK pounds and Euros. Please contact us by email (highstat@highstat.com) and provide us with the following information: your name, organisation, address, country, product you wish to order and VAT number (if relevant).

Once you have ordered Brodgar, we will email you two license keys and an invoice. These can be used to change the online evaluation version into a fully working version. The manual is available online as well, and is free. To reduce costs, we no longer provide a hardcopy of the manual. 

 

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Order Brodgar by credit card payment. 

To order online and pay by credit card please follow these simple instructions.

bulletEnter the order details in the form below.
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bulletCustomers outside the EU.
bulletCustomers outside the UK but inside the EU, who are VAT registered in their own country. Before shipping Brodgar, we need your VAT number. Please email it to us: highstat@highstat.com.
bulletEmail. Please check that your email address is specified correctly. 
bulletRemarks and requests. Use this box if the invoice  address is different from the address on your credit card statement. 
bulletWhen happy that the details are all correct, click the "Place credit card order" button.
bulletYou will be taken to the WorldPay secure payment gateway.
bulletWorldpay allows you to pay in US dollars, UK pounds or Euros.
bulletWorldpay will ask for your credit card details, name, billing address (as on the credit card statement), telephone, etc. Your credit card will be billed as: "Highland Statistics Ltd."
bulletUnder normal circumstances we will email you the license keys within 2 working days. These allow you to change the online evaluation version into a fully working version.

 
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*The 50% reduction applies to orders from developing countries. Here is a list of qualifying countries

 

4. Updates, bug fixes and new items in Brodgar

 

December 2007. Release of version 2.5.6

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Small bug fix for multivariate regression trees.

November 2007. Release of version 2.5.5

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Small improvements and bug fixes to the GAM GUI.

November 2007. Release of version 2.5.4

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Fixed an annoying little bug in the GUI for regression, GLM and GAM.

October 2007. Release of version 2.5.3

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Took a while (because of the release of our book).

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The GAM section has been updated. You can now use the 'by' command. This is useful for interaction between smoothers and nominal variables. We also implemented shrinkage smoothers. These can have 0 degrees of freedom. Useful if many smoothers are not significant; drop them all at once if the estimated degrees of freedom is 0.

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Because the mgcv library is excellent for GAMs, we decided to drop support for the gam library from Hastie and Tibshirani. Give a shout if you want it back.

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Brodgar should now work with later R versions. Give a shout if it doesn't.

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VIF values have been added (useful for detecting collinearity).

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Now we will update the manual, and provide text on the GLS, mixed modelling and GAMM functions. 

October 2006. Release of version 2.5.2

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Model validation tools for dynamic factor analysis have been improved.

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SCoTLASS has been added to PCA.

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Full model selection (not just forwards and backwards) has been added to linear regression and GLM.

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Various small bug fixes in data exploration.

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Chapters 1-3 of the manual have been corrected on grammar.

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Other chapters are nearly finished.

March 2006. Release of version 2.5.1

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VIF values have been added to linear regression and the data exploration. VIF values can be used to detect collinearity.

December 2005. Release of version 2.5.0

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Generalised least squares (GLS) has been added. GLS is like linear regression except that an auto-correlation structure can be used for the residuals.

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The GUI for mixed modelling has been simplified and the help files have been updated.

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Fixed a little bug for chronological clustering if very large values are used (thanks to Pablo Almaraz García).

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Fixed a bug in the BVSTEP procedure.

December 2005. Release of version 2.4.9

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The bug that occasionally didn't allow R graphs to maximize has been fixed. The user can only open one window at a time.

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PCA Equilibrium circles have been added.

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Order of lattice plots can be changed 

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Power analysis has been added.

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General small improvements.

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Thanks to Dr. Borges: fixed a little bug in regime shift analysis.

October 2005. Release of version 2.4.8.

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60 MSc students in Aberdeen have worked with Brodgar for 3 weeks and managed to find a few little bugs. Thanks! There is still this little annoying bug in Brodgar that occasionally doesn't allow R graphs to maximize.

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A new spreadsheet editor and viewer have been added.

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Numerical output is now routed via our own data editor.

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Violin plots have been added.

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The Brodgar mailing list is now operational.

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The price structure has changed as more and more universities are buying Brodgar and request licenses for student home use.

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2.4.8: Fixed a little bug in the MDS and ANOSIM code in version 2.4.7.

July 2005. Release of version 2.4.5 and 2.4.6 (August).

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Fixed a little bug in the tree GUI.

July 2005. Release of version 2.4.4.

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Various improvements to discriminant analysis have been added. Groups of samples can be identified using a (explanatory) variable. 

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A bug fix for the GAM and GLM graphical user interface.

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A spreadsheet interface to simplify the data import process is in preparation.

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ANOVA and  power analysis is in preparation.

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Preparations for nested GLM and GAM models have started.

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Preparations for an attached text editor have started.

May 2005. Release of version 2.4.3.

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Some catching up with PRIMER: ANOSIM, BIOENV and BVSTEP modules have been added.

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The Mantel test and partial Mantel test have been added.

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Mixed modelling has been implemented.

March 2005. Release of version 2.4.2.

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Small updates.

 February 2005. Release of version 2.4.1.
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Dotplots can now be made conditional on nominal variables.

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Extra pairplot styles have been added.

January 2005. Release of version 2.4.0.

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The recent modifications caused a little bug in the interaction plot; fixed.

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The data import process has been improved and is now considerably faster. Variable names that might give errors for the R tools (e.g. Y%1 or Y-1) are automatically adjusted.

December 2004. Release of version 2.3.9.

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More help text for AIC values of GAM models have been added. This should clarify how the AIC values are calculated.

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Font sizes of graph labels and titles of R graphs can be changed. See the Tools menu.

December 2004. Release of version 2.3.8.

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Automatic detection of R installation directory has been implemented.

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Bug fix for quasiPoisson and quasiBinomial GLM and GAM models.

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AIC values obtained by GLM and GAM using two slightly different formulae are presented.

November 2004. Release of version 2.3.7.

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General improvements.

 November 2004. Release of version 2.3.6.

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A link to the R library gam has been added. A so-called "Specialised corner" was added to gam allowing for easy implementation of forward and backwards selection procedures to find the most optimal model, and models with different degrees of freedom. 

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Small bug fixes and general improvements.

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Brodgar now needs R version 2.0!

October 2004. Release of version 2.3.5.

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A link to the R library mvpart for multivariate tree models has been added.

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Fixed a little bug in the canonical correlation analysis function. Thanks to Dr. Dobrev.

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Non-metric MDS has been added.

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Most measures of similarity discussed in Chapter 7 of Legende and Legendre (1998) have been added, see the MDS function.

August 2004. Release of version 2.3.4.

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GAM, GLM and tree models now allow for weights.

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Fixed a little bug in the AIC for additive modelling.

July 2004. Release of version 2.3.3.

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Added further time series techniques (lattice graph of auto-correlation functions and lattice graph of different span widths in repeated Loess smoothing).

June 2004. Release of version 2.3.2.

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Minor bug fix for the scaling options in RDA and CCA.

June 2004. Release of version 2.3.1.

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Minor bug fix for plotting the fit in GLM and regression models if only one explanatory variable is selected.

June 2004. Release of version 2.3.0.

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Interactions between variables in linear regression, GLM and GAM have been added.

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Three time series techniques have been added.

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Significance testing for CCA and partial CCA are now included.

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Significance testing for db-RDA transformations has been added.

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Design and interaction plots have been added. Brodgar now needs R version 1.8.1 (which can be downloaded from our site).

April 2004. Release of version 2.2.8.

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ARIMAX modelling has been improved.

March 2004. Release of version 2.2.7.

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Principal coordinate analysis (PCO) was added to chronological clustering.

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Added an extra example on chronological clustering and PCO to the website (see the time series section).

March 2004. Release of version 2.2.6.

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Chronological clustering was added.

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Scatterplots can now have multiple lines (conditional on nominal variables).

February 2004. Release of version 2.2.5.

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Pair plots can now be made for Y and/or X.

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Fixed a nasty bug in the (partial) RDA/CCA triplots. If explanatory variables were deselected in the multivariate analysis menu, names of nominal and non-nominal variables were mixed up.

February 2004. Release of version 2.2.4.

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Fixed a little mistake in the export facilities of canonical correlations of MAFA.

January 2004. Release of version 2.2.3.

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Fixed a little bug in the similarity ratio (Measures of similarity).  

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Updated the first 6 chapters of the manual.

December 2003. Release of version 2.2.2.

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Options to use "semi-parametric models" have been added to additive modelling (AM) and generalised additive modelling (GAM). 

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More graphical validation techniques have been added to AM and GAM.

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Chapter 5 of the manual has been considerably modified. 

December 2003. Release of version 2.2.1.

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More graphical validation techniques have been implemented for linear regression and GLM. 

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There was a little bug in the species richness index function (Exploration - General tools - Diversity index - Species richness).

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R graphs can now be exported to EPS (which is useful if you write a book).

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All R graphs under "Exploration" and "Univariate" are now presented in the same way. The "Multivariate" and "Time series" tools will be modified later this month to follow the same format.

December 2003. Release of version 2.2.0.

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To view, print and export R graphs, a third party graphical software package (Irfanview) has been added to Brodgar.

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Linking R and Brodgar has been simplified.

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Smoothing and regression options have been added to the lattice and pairplots.

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More index functions have been added to the data exploration functions.

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Cosmetic changes have been made to chapters 1 and 4 of the manual.

November 2003. Release of version 2.1.9.

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Implementation of Bray-Curtis ordination (also called: Polar ordination). 

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Histograms: number of bars can be selected.

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Alternative db-RDA transformations have been added to PCA and CA.

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More options for plotting the regression and classification trees.

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Two new chapters of the manual are now online.

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Work in progress: (I) Tests to add a third-party graphical package to open and edit "R-generated-graphs" have started. (II) Linking db-RDA transformations with significance testing. (III) Extending the significance testing facilities from RDA to CCA. 

November 2003. Release of version 2.1.8.

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Implementation of classification trees. 

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Tree pruning in regression and classification trees can now be done using the cp parameter. 

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Chapter 5 of the new manual has been uploaded. It contains various examples on linear regression, partial linear regression, additive modelling and regression/classification trees.

October 2003. Release of version 2.1.7.

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Implementation of conditional histograms (see Exploration -R tools).

October 2003. Release of version 2.1.6.

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Bug fix in scatter plots and coenoclines.

October 2003. Release of version 2.1.5.

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Fixed a bug in the percentage similarity function. Thanks to Pam Sikkink.

October 2003. Release of version 2.1.4.

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Version 2.1.3: The graphical user interface for discriminant analysis had a little (but fatal) bug. Fixed it.

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Forward selection of explanatory variables in redundancy analysis (RDA) and canonical correspondence analysis (CCA) has been implemented. permutation tests for (partial) RDA have also been implemented. This will give a p-value for the conditional effects of explanatory variables (or axes). Results were compared with CANOCO version 4, and are identical (except for differences due to a different random seed).

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Using "Legendre and Gallagher (2001). Ecologically meaningful transformations for ordination of species data, Oecologia, 129:271-280", an alternative to distance base RDA (dr-RDA) has been implemented.  

October 2003. Release of version 2.1.3.

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A "Getting started" menu button has been added.

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The structure of Brodgar has been changed to: Import Data - Exploration - Univariate analysis - Multivariate analysis - Times Series analysis.

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The user can now select response and explanatory variables from within the multivariate techniques.

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The manual has been partly revised (and corrected on grammar). 

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Programming on permutation tests for RDA and CCA has started. The same holds fro db-RDA.

July 2003. Release of version 2.1.2.

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We used Brodgar in our statistics course in Faro, Portugal. Based on feedback from 21 course attendants, various modifications to the R interface were made. Further modifications are in progress.

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A English grammar correction of the manual is in progress.

July 2003. Release of version 2.1.0.

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The following time series methods have been added: time series regime analysis, ARIMAX, spectral analysis.

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Various improvements to the R interface.

May 2003. Release of version 2.0.9.

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GAM and GLM have been extended with binomial and Gamma distributions. Quasi likelihood methods are also implemented.

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Added credit card payment facilities.

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Fixed one little bug.

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Updated chapters 1 to 4 of the manual!

April 2003. Release of version 2.0.8.

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Boxplots, coplots and lattice graphs can be made conditional on two nominal variables.

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Graphs produced by the R interface can be saved as emf files. These are high quality graphs which can be imported into Word.

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A few small bug fixes.

April 2003. Release of version 2.0.7.

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Partial regression, regression and scatterplots have been added to the R interface.

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The Brodgar website and Chapter 9 of the manual have been extended with a partial linear regression example and a clustering example.

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Fixed a bug in the regression and GLM functions (the automatic backward selection method failed if the data contained missing values).

April 2003. Release of version 2.0.6.

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Interface to R has been added.

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Uploaded: Chapter 9 of the manual (Brodgar and R).

February 2003. Release of version 2.0.5.

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Bug fix in GUI for partial CCA and partial RDA.

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First trials to link R and Brodgar are successful. 

December 2002. Release of version 2.0.4.

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Partial RDA has been implemented. 

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Variance partitioning example has been added to our web site.

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Brodgar results obtained by CCA, RDA, partial CCA and partial RDA were compared with CANOCO 4.0. Results are identical.

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Zooming facilities of graphs has been added. Use the left mouse button to zoom in, and the right mouse button to zoom out.

November 2002. Release of version 2.0.3.

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Partial CCA has been implemented. This means that variance partitioning can be applied (estimate the pure spatial effect, or the pure management effect). Partial RDA will come soon.

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Diagnostic tools (e.g. quality of display along the first two axes per response variable) have been implemented.

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More flexibility for biplots and triplots. The user can now choose how to present response variables, explanatory variables and samples in biplots or triplots; e.g. by labels and lines, labels, squares, circles or triangles. It is also optional to add axes through the origin. 

October 2002. Release of version 2.0.0.

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The data import process has been modified and considerably improved. It is not possible anymore to import data with empty cells. This will avoid a lot of vague error messages. 

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Part of the import data calculations are now carried out in FORTRAN. For large data sets, this should reduce the calculation time by 30-40%

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Imported data are now internally stored with only two decimal precision (instead of 8).  

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Additional transformations and standardisations have been implemented. 

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Chapters 1, 3, 4 and 5 of the manual were revised. 

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Selection of response variables and explanatory variables has been simplified (try Shift-Mouse move).  

August 2002. Release of version 1.9.2.

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A user in Finland encountered some problems with a semi-large data set (70 response variables and 1000 samples) and canonical correspondence analysis. Problems were related to a matrix multiplication (the dimensions became rather large). We have improved the code and the problem is fixed. 

August 2002. Release of version 1.9.1.

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Implementation of canonical correlation analysis and Webster's method to detect discontinuities.

July 2002. Release of version 1.9.0.

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Implementation of MAFA.

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Various improvements to the discriminant analysis GUI.

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Fixed a few bugs in the GUI.

June 2002. Release of version 1.8.9.

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Small modification in presenting high correlations.

June 2002. Release of version 1.8.8.

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New graphical options in "Plot data".

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Small modifications in the dynamic factor analysis techniques.

June 2002. Release of version 1.8.7

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Bug fix and modification of the code for coenoclines. The code is now approximately 10 times as fast. Titles and the range of the y-axis in coenoclines along explanatory variables can now be changed.

May 2002. Release of version 1.8.6.

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Bug fix in the cross-correlation function.

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Titles, labels and fonts for time series plots are still not working properly. Sorry. Will be fixed in the first week of June.

January 2002. Release of version 1.8.5.

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Two more data examples have been added, namely 
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the hunting spider data. This data set has been used in many textbooks to illustrate the use of CA and CCA to analyse species-environmental relationships.

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Fisher's Iris data. A data set frequently used to demonstrate discriminant analysis.

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Projects (and associated directories and files) can be deleted.

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Biplot and triplot titles, labels and fonts can be stored and retrieved.

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Besides ordinary standardisation of explanatory variables in CCA, weighted standardisation (default settings in CANOCO) can be chosen. See the help file for further details.

June-December 2001. Release of version 1.8.1 to 1.8.4

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Mainly bug fixes for Windows NT and 2000 operating systems.

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Titles, labels and fonts for the triplots and biplots can be changed.

May 2001. Release of version 1.8

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Help files have been added.

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Brodgar has been extended with discriminant analysis and factor analysis.

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The manual is being revised.

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The data import process has been simplified.

March 2001. Release of version 1.7

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Minor bug fixes

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In dynamic factor analysis, the covariance matrix of the error component can now be modelled as (i)  a diagonal matrix or (ii) a symmetric, non diagonal matrix.

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Chapters 5, 6 and 7 of the manual are available online.

February 2001. Release of version 1.6

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Generalised Procrustes analysis (GPA) has been added. Suppose the data consist of M samples of N variables made on T occasions. This is called 3-way data. Two examples are (i) N  species measured at M sites in T years and (ii) N panel members assessing the quality of M products, during T assessments. GPA can be used to analyse such data. It applies a dimension reduction technique on each  2-way data set. In the first example, there are T tables, each containing species-by-sites data. GPA uses the T ordination diagrams to calculate an average ordination diagram. An analysis of variance indicates how well (i) individual species, (ii) each of the ordinations and (iii) each of the axes are fitted by this average ordination diagram. GPA can be used to analyse very short time series.

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A first set of help files have been added.

January 2001. Release of version 1.3

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The layout of the GUI has been improved considerably. 

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Implementation of the following dimension reduction techniques:
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Redundancy analysis. This is basically a principal component analysis in which the axes are restricted to be linear combinations of the explanatory variables.

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Correspondence analysis.

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Canonical correspondence analysis (this is a correspondence analysis in which the axes are restricted to be linear combinations of the explanatory variables).

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Auto- & cross-correlation functions have been improved.

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Various dynamic factor models have been added.

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Limitations on dimensions (number of time series and length of time series) of the data have been removed. The maximum number of common trends has been set to 10. Please note that the algorithm for dynamic factor analysis becomes unstable if more than 30 time series are used.

November 2000. Release of version 1.2.

bulletGraphical and numerical output during runtime has been improved.

November 2000. Release of version 1.1.

bulletAscii files can now be imported (thanks to Vincent J. Castelli).
bulletThe import process has been simplified.  
bulletSnapshots of the required data format are added.
bulletA demo data set has been added.
bulletFixed a stack overflow in the FORTRAN code.

November 2000. Version 1.0 is released.