- Stat For Machine Learning
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Beyond Basic Statistics in Excel
The free version + free Numbers (comes with every new Mac, just be sure to open AppStore on a new Mac), was a lucky find for me. I rarely post postivie reviews but Statplus is really. The new iStat Menus widget is a great way to keep your Mac’s vital stats tucked away in Notification Center. CPU usage, memory, top CPU and memory processes, load averages, disk space and uptime are only ever a single click or swipe gesture away, from any app. Our website provides a free download of Stat/Transfer 14.0.935.1031. This PC software was developed to work on Windows XP, Windows Vista, Windows 7, Windows 8 or Windows 10 and can function on 32 or 64-bit systems. Stat/Transfer lies within System Utilities, more precisely File Managers. This program is a product of Circle Systems, Inc.
Advanced Statistical Analysis and Forecasting
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Most computers purchased since mid-2006 can take advantage of the advanced multiprocessing capabilities of Stata/MP. Stata/MP is a version of Stata/SE that runs on multiprocessor and multicore computers. Stata/MP provides the most extensive support for multiprocessor computers and multicore computers of any statistics and data-management package.
Part of the DecisionTools Suite
My students are delighted with StatTools. They find it easy to learn and easy to use.
StatTools does the time series autocorrelation in a user-friendly way that is quick and easy. You know you got it right the first time…StatTools did what I needed without the time and expense of a heavy-duty stats package.
A New Statistics and Forecasting Toolset for your Spreadsheet
StatTools covers commonly used statistical procedures, and offers the capability to add new, custom analyses to Microsoft Excel. The accuracy of Excel’s built-in statistics calculations has often been questioned, so StatTools doesn’t use them. All StatTools functions are true Excel functions, and behave exactly as native Excel functions do. Over 30 wide-ranging statistical procedures plus 9 built-in data utilities include forecasts, time series, descriptive statistics, normality tests, group comparisons, correlation, regression analysis, quality control, nonparametric tests, and more.
We wanted a statistical analysis package that worked in Excel. StatTools fits the bill and provides robust and accurate analysis.
Get Started With A Free TrialOverview
First, define your data in StatTools. Then, perform any of over 30 different types of analysis on your data set, depending on your situation. StatTools provides a comprehensive and intuitive data set and variable manager right in Excel. Data sets and variables can reside in different workbooks, allowing you to organize your data as you see fit. Run statistical analyses that refer to your variables, instead of re-selecting your data over and over again in Excel. Plus, you can define variables that span multiple worksheets. Once your data sets have been defined, choose a procedure from the StatTools menu or write your own, custom procedure.
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- A comprehensive and intuitive data set and variable manager
- Goes beyond the basics provided by Excel
How StatTools Is Used
StatTools enables endless applications, including:
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Customer Success Stories
Learn how StatTools has helped decision makers make informed predictions.
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Product Resources
Explore examples and tutorials on how to make StatTools work best for you.
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Features To Meet Your Needs
New statistics in Excel
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StatTools replaces questionable Excel functions and performs wide range of analyses.
Custom Statistical Procedures
Build your own procedures in Excel, plus full customization of all StatTools reports.
Live Updating When Input Data Changes
With StatTools, your statistical reports and charts always reflect latest data
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StatTools allows for quick definition of data sets and management of multiple data sets.
Capacity For Large Data Sets
StatTools Industrial has no limits on amount of data to analyze. (The Professional edition provides 10,000 data points per variable.).
Included with The DecisionTools Suite
Included with The DecisionTools Suite
The DecisionTools Suite
The complete risk and decision analysis toolkit, including @RISK, PrecisionTree, TopRank, NeuralTools, StatTools, Evolver, RISKOptimizer.
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Maintenance
Palisade maintenance plans are designed to cover you when new software versions are released, or if you require help operating the software or resolving errors. Software updates are often released to keep current with changes in Windows, or in Excel or other host applications. Updates may also include bug fixes or minor product enhancements. Major version upgrades are released when new significant new features and/or interface changes are made to the software. Major version upgrades may also include updates to host application compatibility. Technical support is also included with Palisade maintenance. Whether through self-support using our Knowledgebase, via e-mail, or on the phone, Palisade is here to help with installation, operational problems, or error messages.
Benefits of Palisade Maintenance Plans
Free technical support via hotline or email. Technical Support hours are Monday – Friday, 4:00am – 5:00pm (New York time zone). Technical support is available for software installation, resolving software errors, assisting with software operation, and limited model de-bugging. Technical support is not designed for building spreadsheet models from scratch, extensive model de-bugging, or software training. These services may be obtained from our Training and Consulting department.
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There are times we need to do some repetitive tasks in the process of data preparation, analysis or presentation, for instance, computing a set of variables in a same manner, rename or create a series of variables, or repetitively recode values of a number of variables. In this post, I show a few of simple example “loops” using Stata commands -foreach-, -local- and -forvalues- to handle some common simple repetitive tasks.
-foreach-: loop over items
Consider this sample dataset of monthly average temperature for three years.
Now the mean temperatures of each month are in Centigrade, if we want to convert them to Fahrenheit, we could do the computation for the 12 variables.
However this takes a lot of typing. Alternatively, we can use the -foreach- command to achieve the same goal. In the following codes, we tell Stata to do the same thing (the computation: c*9/5+32) for each of the variable in the varlist – mtemp1 to mtemp12.
Note that braces must be specified with -foreach-. The open brace has to be on the same line as the foreach, and the close brace must be on a line by itself. It’s crucial to close loops properly, especially if you have one or more loops nested in another loop.
-local-: define macro
This was a rather simple repetitive task which can be handled solely by the foreach command. Here we introduce another command -local-, which is utilized a lot with commands like foreach to deal with repetitive tasks that are more complex. The -local- command is a way of defining macro in Stata. A Stata macro can contain multiple elements; it has a name and contents. Consider the following two examples:
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Define a local macro called mcode and another called month, alter the contents of mcode in the foreach loop, then display them in a form of “mcode: month”.
Note when you call a defined macro, it has to be wrapped in “`” (left tick) and “‘” (apostrophe) symbols.
Rename multiple variables
Take the temperature dataset we created as an example. Let’s say we want to rename variables mtemp1-mtemp12 as mtempjan-mtenpdec. We can do so by just tweaking a bit of the codes in the previous example.
Define local macro mcode and month, then rename the 12 vars in the foreach loop.
We can obtain the same results in a slightly different way. This time we use another 12 variables fmtemp1-fmtemp12 as examples. Again, we will rename them as fmtempjan-fmtempdec.
Define local macro month, then define local macro monthII in the foreach loop with specifying the string function word to reference the contents of the local macro month.
I usually run -display- to see how the macro looks like before actually applying the defined macro on tasks like changing variable names, just to make sure I don’t accidentally change them to some undesired results or even cause errors; however the display line is not necessary in this case.
Here we rename them back to fmtemp1-fmtemp12.
-forvalues-: loop over consecutive values
The -forvalues- command is another command that gets to be used a lot in handling repetitive works. Consider the same temperature dataset we created, suppose we would like to generate twelve dummy variables (warm1-warm12) to reflect if each of the monthly average temperature is higher than the one in the previous year. For example, I will code warm1 for the year of 2014 as 1 if the value of fmtemp1 for 2014 is higher than the value for 2013. I will code all the warm variables as 99 for the year of 2013, since they don’t have references to compare in this case.
We can do this by running the following codes, then repeat them for twelve times to create the twelve variables warm1-warm12.
However this takes a lot of typing and may even create unwanted mistakes in the process of typing or copy-paste them over and over.
Instead, we can use -forvalues- to do so:
Reference
Baum, C. (2005). A little bit of Stata programming goes a long way… Working Papers in Economics, 69.
View the entire collection of UVA Library StatLab articles.
I Stat Machine For In Home Sodium Testing
Yun Tai
CLIR Postdoctoral Fellow
University of Virginia Library