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The Analyse-it Quality Control and Improvement Edition is now officially available. You can download a free trial and buy it online at https://analyse-it.com/products/quality-control/
We have just released an update to the pre-release. The software is now available for anyone to test, and it now includes tutorials you can follow to quickly get started using Pareto analysis, Control charts, and Capability analysis. It does not require an active internet connection as we no longer need to monitor the software for error conditions.
You can download the latest release and try the software from:
To activate the use the product key:
We are delighted to announce the addition of the Analyse-it Quality Control and Improvement Edition to the range of Analyse-it products.
The new edition includes the most impressive statistical process control (SPC) charts available in any Excel statistical software package, including Shewhart, Levey-Jennings, CUSUM, and EWMA charts. Process capability statistics and plots help you ensure a process is able to meet specifications. And Pareto plots help you identify the quality-related problems that need the most attention and let you monitor efforts to reduce them.
Screenshot: Xbar-R chart of a quality characteristic by phase with stratification.
Screenshot: Process capability plots by phase.
Screenshot: Pareto plot of failures with stratification and sorted by key plot.
The new release is currently available for pre-release beta testing. Anyone can download and test the new release, though you will need an active internet connection to use it as we monitor usage and reliability of the pre-release.
You can download the pre-release at:
To activate the pre-release, use the product key:
We are now working to update the documentation to explain the new features of the software, but in the meantime these examples should help you get started
Pareto.xlsx: Pareto plots of failures stratified by date and before/after maintenance
BurstingStrength.xlsx: X-bar R control charts and capability analysis of bursting strength of glass containers
Cans.xlsx: Shewhart p and np control plots analysis of can seal attribute data
We will provide more information about the product, availability and pricing shortly, including pricing for existing users that want to upgrade to include the new quality control features.
Today we released version 3.80 of the Analyse-it Standard edition.
The new release includes Principal Component Analysis (PCA), an extension to the multivariate analysis already available in Analyse-it. It also includes probably the most advanced implementation of biplots available in any commercial package.
New features include:
The tutorial walks you through a guided example looking at how to use correlation and principal component analysis to discover the underlying relationships in data about New York Neighbourhoods. It demonstrates the amazing new features and helps you understand how to use them. You can either follow the tutorial yourself, at your own pace, or .
Probably the greatest concern when using statistical software is reliability. Is the software producing accurate, numerically correct results that have been validated?
It’s a very important question. Many of you work in FDA and regulated environments where the penalties for mistakes are very high. And those of you outside such environments are still making important business and research decisions using Analyse-it. It’s therefore imperative that the software you depend upon is developed to a professional standard, thoroughly tested and validated.
Today we released the Analyse-it Method Validation edition version 3.5. The software is feature complete, validated, and includes documentation. It supports Excel 2007, Excel 2010 (32- and 64-bit) and Excel 2013 (32- and 64-bit).
We took this opportunity to rename the product from the Analyse-it Method Evaluation edition to the Method Validation edition. The product is the same, but the new name better reflects the intended purpose of the product.
Today we released the first public beta test version of the Analyse-it Method Evaluation edition, version 3.5. The software is feature complete and is validated – it is now only missing documentation.
We invite everyone to download the beta and try the new version of the software before it is finally released in September. You will need Excel 2007, 2010, or 2013 (32-bit and 64-bit versions are supported) and it can be installed and used alongside older versions of Analyse-it so it won't interrupt your day-to-day work.
Today we released the 3rd alpha release of the Analyse-it Method Evaluation Edition 3.5. Alpha releases are versions of the software that are still in active development, but are released to small group of customers so we can identify and fix any problems before the public beta release.
This release now completes the package with method comparison, which includes Deming regression, Passing-Bablok regression, and Bland-Altman difference plots. Linearity, precision analysis, diagnostic performance (ROC analysis and binary test performance) and reference intervals were already included in earlier alpha releases.
Today we released the 2nd alpha of the Analyse-it Method Evaluation Edition 3.5.
Alpha releases are pre-release versions of the software that are still in active development. We release them to a small group of customers so we can get feedback and quickly identify and fix any problems before the public beta release. If you want to take part in the test phase reply or comment on to this post or . You can use pre-release versions of Analyse-it alongside your
existing version of Analyse-it, so it won't disrupt your work. And, if you help during in the test phases you will get a discount on the upgrade (a free upgrade for those who contribute the most) when the product is released later this year.
We are now starting to release test previews of a major update to the Analyse-it Method Evaluation edition. The new release will include many new features (we'll reveal more in the coming weeks) and will support 32- and 64-bit versions of Excel 2007, 2010, and 2013.
During the initial test phases we release development versions of the application to a small group of customers to ensure it installs and runs as expected on a wide range of PCs and configurations. The official beta test phase stage then follows where more customers are invited to download and use the software, while we iron-out the final few bugs before the official release. The official release is planned for summer 2013.
What is a sample quantile or percentile? Take the 0.25 quantile (also known as the 25th percentile, or 1st quartile) -- it defines the value (let’s call it x) for a random variable, such that the probability that a random observation of the variable is less than x is 0.25 (25% chance).
A simple question, with a simple definition? The problem is calculating quantiles. The formulas are simple enough, but a take a quick look on Wikipedia and you’ll see there are at least 9 alternative methods . Consequently, statistical packages use different formulas to calculate quantiles. And we're sometimes asked why the quantiles calculated by Analyse-it sometimes don’t agree with Excel, SAS, or R.
Today we pushed the release candidate of the Analyse-it Standard Edition v3.0 for Microsoft Excel 2007 & 2010, our statistical analysis software for Microsoft Excel.
The release candidate is feature complete and is intended to be the final, almost public release of the software.
The software is now validated against our library of thousands of tests to ensure the statistics and plots are accurate and correct. You can now use the software in your day to day work and, like previous versions, it can be used alongside your current version of Analyse-it until you become more comfortable with it.
We’re pleased to release the final beta of the Analyse-it Standard Edition, v3.0. The beta is now publicly open to anyone as we iron out any final issues and conduct final testing before release.
To download the beta, please visit:
Screenshot: Analyse-it fit model analysis includes an influence plot to identify points with a substantial effect on the fitted model.
Today we released the first public beta of
Analyse-it Standard Edition, v3.0.
Maybe we're biased, but it is an amazing product! It's been a heck of a lot of work, but the range
of statistical tests and plots in Analyse-it v3 rival what the expensive, established statistical packages provide. In fact, in many cases we’ve surpassed what
they offer. And the statistical plots go beyond what's available in any
other Excel add-in.
If you follow us on you will have seen that we released a new version of the Analyse-it Standard Edition, v3.0, to testing this week.
During the initial test phases we release development versions of the application to a small group of customers to ensure it installs and runs as expected on a wide range of PCs and configurations. The official beta test phase stage then follows where more customers are invited to download and use the software, while we iron-out the final few bugs before the official release. The official release is planned for early 2012.
In May this year, we surveyed users of the Analyse-it Method Evaluation edition to gain insight into how we can improve Analyse-it in future. Thank you to all those who responded.
In the responses, one issue became clear: the unfiled reports feature causes confusion.
When you run an analysis, Analyse-it creates a new worksheet containing the statistics and charts for that analysis (what we call a report). Analyse-it places the report in a temporary workbook called . From there you can then decide what you want to do with the analysis: keep it, print it, e-mail it, or discard it. If you want to keep it you click the (see below), and Analyse-it moves the report into the same workbook as your dataset.
Many Analyse-it users readily admit their statistics knowledge is a little rusty, usually because it’s 10 years or more since their last statistics course. Should I use the t-test, Mann-Whitney, or Wilcoxon test? The names of the tests aren’t exactly helpful, nor do they give you any clue of the assumptions that must be met to use the test.
That’s why we devised the .
It’s a simple interactive wizard that asks what you want to do, what data you’ve observed, checks which pre-test assumptions can be met, then tells you the best statistical test to use. Using the advisor you can be confident you’re using the correct statistical test -- or even use it to check if your statistics knowledge really is as rusty as you think!