Skip to end of metadataGo to start of metadata![Mac Mac](/uploads/1/3/4/0/134017208/159351464.png)
Collections, services, branches, and contact information. summarize Variable Obs Mean Std. Min Max -+- state 0 state2 0 region 50 2.66 1.061574 1 4 pop 4751 2.37e+07 poplt5 50 326277.8 331585.1 400 -+- pop517 50 945951.6 959372.8 558 pop18p 3406 1.73e+07 pop65p 50 509502.8 538932.4 11547. 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. In addition, FX Stat can also connect with Microsoft Word, PowerPoint, Pages and Keynote, or with a predefined file. You can use the FX Stat app to modify any entries in your data set and see the results on your Mac's display in real-time. FX Stat is cross-platform and it works on Mac OS X and Windows. StatPlus offers you an ability to perform heavy-duty data analysis on your Mac in a familiar and convenient Excel environment. Integrating tightly with Microsoft Excel, StatPlus:mac empowers Microsoft Excel with a set of heavy-duty statistical analysis and data management tools, turning Microsoft Excel for Mac into a full-featured statistical analysis suite.
TextSTAT is text concordance software that runs on both Windows (XP or Vista) and Mac.
Mac Teams Football
According to the TextSTAT website the Windows version 'includes everything you need to use TextSTAT with Windows. It comes as a single installation file.' I haven't tested this.
I Stat Machine For In Home Sodium Testing
I've successfully run TextSTAT in macOS, but it takes a little doing: you have to download the sourcecode (written in the Python programming language) and launch TextSTAT using another application, MacPython.
Fortunately, MacPython comes packaged with macOS, so you shouldn't have to download it separately. However, according to the TextSTAT website, you won't have success with versions of Python later than 2.6. When we get to the point in these instructions when it's time to use MacPython, you'll find advice on what to do if your version is too recent.
So, let's get started.
First, download, unzip, and install TextSTAT.
On the homepage for TextSTAT, find the link to download the Python sourcecode for the application. Click to download.
You should end up with a folder named 'TextSTAT2-source' in your Applications folder. Note that among the files inside this folder, there's one named 'TextSTAT.pyw'. Later, you'll be dragging the icon for this file into a Terminal window. If you don't know about Terminal, don't worry. You'll learn about it in a moment.
Next, download the text you'd like to analyze.
This isn't absolutely necessary — you can point TextSTAT to files that aren't on your hard drive — but it's recommended for the present tutorial.
For our example, we'll use the Gutenberg version of Thoreau's Walden. Follow the link to find it.
Notice that you want to download Walden in Plain Text UTF-8 format. Take note of where the downloaded file lands on your hard drive. (Unless you've changed the default location in your browser preferences, this should be your Downloads folder.)
It's almost time to launch TextStat using MacPython.
But first, check on your version of MacPython. You should see MacPython in your applications folder. If your Mac version of Python is later than 2.6, download and install the older version.
Now the fun begins.
Time to use the Terminal application on your Mac, where you can enter line commands that make your Mac do things without your having to navigate windows or click on icons — bypassing, in other words, your Mac's GUI (graphical user interface). Terminal is a power tool, and like all power tools it deserves your respect. If you don't know what you're doing, and you're not careful, you can hurt yourself (well, your Mac, anyway). To get a feel for some of the things you can do in Terminal, from within the Terminal application go to Help > Terminal Help > Learning about UNIX commands.
But back to the mission at hand. Find Terminal in Applications > Utilities and fire it up.
Terminal will open in a plain-text terminal window, and some text will appear in the window right away, ending with the account name you're logged into on your Mac, followed by a dollar sign. In my case, that would be ~ schacht$
As shown in the two screenshots below, you'll next want to do two things:
- type 'pythonw' (no quotation marks) after the dollar sign
- drag the directory location of the file named 'TextSTAT.pyw' (inside the folder 'TextSTAT2-source,' remember?) into the terminal window immediately following where you've typed 'pythonw' (but do leave a space between 'pythonw' and the location)
Ph Stat For Mac
You may have just discovered a nice feature of the Mac GUI that you weren't aware of. If you drag a file icon into an application (as opposed to another window on your desktop) the path to the file on your hard drive — rather than the file itself — gets copied to the target spot.
Okay. Click in the Terminal window at the end of the file path, take a deep breath, then hit the return/enter key on your keyboard. Within a few seconds, two things should happen: MacPython should launch, and a TextSTAT window should open on your Mac.
Final steps.
To perform a text analysis, TextSTAT needs text to analyze, aka a 'corpus.'
So first, you need to add a corpus to TextSTAT. That would be your plain text copy of Walden.
Walden will need a little readying for this. The file you downloaded from Gutenberg contains some very important words about the Gutenberg project that, if included in your corpus, will unfortunately throw off your results, since the words aren't part of Walden. So open the text of Walden, scroll to the end, back up to where Thoreau's text itself ends, and delete all the Gutenberg information. Save the file.
However, respect the Gutenberg community: any version of Gutenberg's Walden that you share with others must always include the Gutenberg information at the end.
The video below shows what to do next:
- Double-click the 'New corpus' icon, name the corpus whatever you want ('Thoreau' in the video), click 'Save,' then click 'OK' in the Python dialog that opens up.
- Now double-click the 'Add local file' icon, navigate to the location of Walden on your hard drive, and click 'Open.' This will put the path to your Walden file in TextSTAT.
- Very deep breath. Double-click the 'Show word frequencies' icon in TextSTAT. Voilà: you should see a list of all the words in Walden in order of frequency.
![Mac Mac](/uploads/1/3/4/0/134017208/159351464.png)
But what if you work for a math-heavy industry, pharmacology, medicine or sociology, and complex statistical analysis is part of your daily routine? Did you find a user-friendly data analysis tool that works on your Mac?
StatPlus:mac turns your copy of Microsoft Excel for Mac (2004 - 2019) or Apple Numbers into a powerful statistical tool without making you learn another software or part with extraordinary amounts of money. You'll use the familiar interface to perform complex analysis and calculations, enabling you to concentrate on analyzing the results rather than figuring out how to achieve them.
Upgrade Your Spreadsheet
Turn Microsoft Excel or Apple Numbers into a powerful statistical package with StatPlus:mac and perform data analysis on a Mac in the familiar environment. Stop wasting your time learning new tools and try StatPlus:mac right away.
70+ Features
StatPlus:mac allows Mac users to perform all forms of data analysis from the very basics to complex analysis, including non-parametric and regression analysis, survival and time series analysis, and a wide variety of other methods. Version 7 includes standalone spreadsheet and can be used without Microsoft Excel or Apple Numbers installed.
Multi-platform
StatPlus:mac is available for both Mac and PC platforms (PC version includes standalone and Excel add-in versions) at no extra charge. Save learning time and costs for your mixed PC and Mac environment.
Free Trial
We have free trial that gives you an opportunity to evaluate the software before you purchase it. Should you have any questions during the trial period, please feel free to contact our Support Team.
Affordable
StatPlus:mac is most affordable solution for data analysis on Mac (with Excel and Numbers support). You will benefit from the reduced learning curve and attractive pricing while enjoying the benefits of precise routines and calculations. Mac/PC license is permanent, there is no renewal charges.
Requirements
StatPlus:mac requires macOS 10.9-10.15 (macOS Catalina is supported; v5 requires 10.5+). StatPlus:mac supports Microsoft Excel for Mac (supported versions: 2004, 2008, 2011, 2016, 2019) and Apple Numbers v3/v4/v5 as a data source. StatPlus:mac does not require Internet connection (except for optional auto-update feature).
Statistical features list
- Pro Features
- Standalone spreadsheet with Excel (XLS and XLSX), OpenOffice/LibreOffce Calc (ODS) and text documents support.
- 'Add-in' mode for Excel 2004, 2008, 2011, 2016 and 2019.
- 'Add-in' mode for Apple Numbers v3, v4 and v5.
- Priority support.
- Permanent license and free major upgrades during the maintenance period.
- Access to Windows version.
- Options to emulate Excel Analysis ToolPak results and migration guide for users switching from Analysis ToolPak.
- Basic Statistics
- Detailed descriptive statistics.
- One-sample t-test.
- Two-sample t-test.
- Two-sample t-test for summarized data.
- Fisher F-test.
- One-sample and two-sample z-tests.
- Correlation analysis and covariance.
- Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).
- Cross-tabulation and Chi-square.
- Frequency tables analysis (for discrete and continuous variables).
- Multiple definitions for computing quantile statistics.
- Analysis of Variance (ANOVA)
- One-way and two-way ANOVA (with and without replications).
- Three-way analysis of variance.
- Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett.
- General Linear Models (GLM) ANOVA.
- Within subjects ANOVA and mixed models.
- Multivariate Analysis
- Principal component analysis (PCA).
- Factor analysis (FA).
- Discriminant function analysis.
- Nonparametric Statistics
- 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).
- Rank and percentile.
- Chi-square test.
- Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).
- Comparing independent samples
Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Kruskal-Wallis ANOVA and Median test. - Comparing dependent samples
Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance). - Cochran's Q Test.
- Regression Analysis
- Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).
- Weighted least squares (WLS) regression.
- Logistic regression.
- Stepwise (forward and backward) regression.
- Polynomial regression.
- Curve fitting.
- Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.
- Time Series Analysis
- Data processing.
- Fourier analysis.
- Smoothing.
- Moving average.
- Analysis.
- Autocorrelation (ACF and PACF).
- Interrupted time series analysis.
- Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).
- Survival Analysis
- Life tables.
- Kaplan-Meier (log rank test, hazard ratios).
- Cox proportional-hazards regression.
- Probit-analysis (Finney and LPM).
LD values (LD50/ED50 and others), cumulative coefficient calculation. - Receiver operating characteristic curves analysis (ROC analysis).
AUC methods - DeLong's, Hanley and McNeil's. Report includes: AUC (with confidence intervals), curve coordinates, performance indicators - sensitivity and specificity (with confidence intervals), accuracy, positive and negative predictive values, Youden's J (Youden's index), Precision-Recall plot. - Comparing ROC curves.
- Data Processing
- Sampling (random, periodic, conditional).
- Random numbers generation.
- Standardization.
- Stack/unstack operations.
- Matrix operations.
- Statistical Charts
- Histogram
- Scatterplot.
- Box plot.
- Stem-and-leaf plot.
- Bland-Altman plot.
- Bland-Altman plot with multiple measurements per subject.
- Quantile-quantile Q-Q plots for different distributions.
- Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.