Statistical Atlas
Posted by Armando Brito Mendes | Filed under estatística, mapas SIG's, materiais ensino, visualização
Um projeto em curso que pretende criar mapas temáticos de todos os dados existentes nos EUA, ambicioso, não?
Age and Sex
This is the age and biological sex of the population.
Disability
This is disability status.
Education
This is who goes to school.
Geology
This is the land and water.
Government
This is how the government functions.
Income and Earnings
This is how much money people make.
Language
This is how people communicate.
Living Arrangement
This is the household makeup.
Mortality
This is how people die.
Origins
This is where people come from.
Population
This is how many people there are.
Poverty
This is who lives below the poverty thresholds.
Transportation
This is how people get around.
Work
This is where and how people work.
Tags: belo, Estat Descritiva, mapas, R-software
Real Chart Rules to Follow
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, visualização
Excelente guia sobre construção de gráficos para representar dados.
There are a lot of “rules” for visualization. Some are actual rules, and some are suggestions to help you make choices. Many of the former can be broken, if that’s what the data dictates and you know what you’re doing.
But, there are rules—usually for specific chart types meant to be read in a specific way and with few exceptions—that you shouldn’t break. When they are, everyone loses. This is that small handful.
Tags: data mining, definição, Estat Descritiva, R-software
Comprehensive Guide to Data Visualization in R
Posted by Armando Brito Mendes | Filed under estatística, visualização
Bom resumo de alguns tipos de gráficos que podem ser obtidos no R, do mais simples a alguns mais complexos.
This visualization (originally created using Tableau) is a great example of how data visualization can help decision makers. Imagine telling this information to an investor through a table. How long do you think you will take to explain it to him?
With ever increasing volume of data in today’s world, it is impossible to tell stories without these visualizations. While there are dedicated tools like Tableau, QlikView and d3.js, nothing can replace a modeling / statistics tools with good visualization capability. It helps tremendously in doing any exploratory data analysis as well as feature engineering. This is where R offers incredible help.
R Programming offers a satisfactory set of inbuilt function and libraries (such as ggplot2, leaflet, lattice) to build visualizations and present data. In this article, I have covered the steps to create the common as well as advanced visualizations in R Programming.
Tags: análise de dados, data mining, Estat Descritiva, R-software, software estatístico
visualização do intervalo de confiança
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, visualização
Boa forma de visualizar o conceito de Intervalo de Confiança Aleatório.
About the visualization
Some say that a shift from hypothesis testing to confidence intervals and estimation will lead to fewer statistical misinterpretations. Personally, I am not sure about that. But I agree with the sentiment that we should stop reducing statistical analysis to binary decision-making. The problem with CIs is that they are as unintuitive and as misunderstood p-values and null hypothesis significance testing. Moreover, CIs are often used to perform hypothesis tests and are therefore prone to the same misuses as p-values.
Tags: belo, definição, inferência
R news and tutorials R bloggers
Posted by Armando Brito Mendes | Filed under estatística, matemática, software
Montes de blogs sobre R.
Here you will find daily news and tutorials about R, contributed by over 573 bloggers.
Top 3 Posts from the past 2 days
Top 9 articles of the week
- Installing R packages
- In-depth introduction to machine learning in 15 hours of expert videos
- New Version of RStudio (v0.99) Available Now
- Using apply, sapply, lapply in R
- Review of ‘Advanced R’ by Hadley Wickham
- Scatterplots
- An R Enthusiast Goes Pythonic!
- Open data sets you can use with R
- Basics of Histograms
Tags: R-software
S-PLUS & R Class Links
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, materiais para profissionais, software
montes de materiais para R e S-PLUS.
S-PLUS & R Class Links
Instructor: Richard Herrington
Why Do We Care To Use the “S” Language? Does anyone care besides us? The Association for Computing Machinery (ACM) cares
S-Plus
- Introduction to S language (S-Plus, R)
- S-Plus Windows Notes (MASS – Brian Ripley)
- S-Plus 6 Users Guide
- S-Plus 6 Users Guide to “Introduction to the Practice of Statistics”
- Datasets for “Introduction to the Practice of Statistics”
- S-Plus Tutorial
- S-Plus Website
- S-Plus Official Documentation
S-PLUS Student Edition Download (Free)
- Student Edition 6.2 – This version of S-Plus has a 20,000 cell or 1,000 row limitation; is only for educational use; is good for only one year; and is a rather large download (100+ meg).
S-PLUS Free Experimental Libraries and User Contributed Libraries
- Research Libraries – Includes: S+CorrelatedData (mixed effects generalized linear models), S+Best (B-Spline methods), S+Resample (bootstrap library), S+Bayes (bayesian analysis), S+FDA (functional data analysis).
- User Contributed Libraries
Tinn-R Script Editor
- SourceForge Download Site – Download Tinn-R Setup Files; Tinn-R can serve as a script editor and “pager” for R Console. See Tinn-R Convenient Script Editor for R on Win32 Platform
R
Download Site for the Current Windows Install Binary and R Packages
- Main CRAN Website
- CRAN Windows Binary – Installer for Win32 (also available for MacOS X and Linux
- CRAN R Package Descriptions – Pdf manuals available for packages
- R Packages Organized by Topic – Organized by discipline and methodology
Web Interfaces to R Web Servers and Example R Scripts
- R Web Interfaces – Web/browser based interfaces to R script processing on a server
- Example R Scripts – Some of these scripts run on a server and results are communicated thru a web browser
- RSS Rweb Server – Link to http:/rss.acs.unt.edu R server
R, R(D)COM and Excel
- Introduction to R – ppt
- Using R with Excel – A (D)COM Server for the Windows Platform – Benchmarks article (needs updating badly – Rich)
- R(D)COM Server Homepage – Thomas Baier
- R(D)COM Listserve Archive
- Download for single install file – R-2.4.1, R(D)COM and RExcel only
- Download for single install file – R-2.4.1 – use this file for a comprehensive install of selectable components: R, Rcmdr, R(D)COM, RExcel, rcom, gobbi, Rgobbi, and Tinn-R. R Version 2.5.0 combined install found here.
- Installing The R(D)COM server – Help Pages
- Using The R(D)COM server – Help Pages
- Using R Within Excel – Help Pages
- Duncan Temple Lang’s R (D)COM Homepage
- Duncan Temple Lang’s R (D)COM Notes
- Duncan Temple Lang’s R (D)COM Client examples– directory listing
- Duncan Temple Lang’s R (D)COM Server – examples listing
- General Computing Considerations
Tags: Excel, R-software, software estatístico
Rtips. Revival 2014!
Posted by Armando Brito Mendes | Filed under estatística, matemática, software
Montes de exemplos de R numa única longa página.
Tags: análise de dados, Estat Descritiva, inferência, R-software, software estatístico
Rice Virtual Lab in Statistics
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino
Referências úteis para conceitos de estatística básica.
HyperStat Online An online statistics book with links to other statistics resources on the web. |
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Simulations/Demonstrations Java applets that demonstrate various statistical concepts. |
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Case Studies Examples of real data with analyses and interpretation |
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Analysis Lab Some basic statistical analysis tools. |
Tags: Estat Descritiva, inferência
Statistical Associates E-Book Catalog
Posted by Armando Brito Mendes | Filed under estatística, Investigação Operacional, matemática, materiais ensino
e-books grátis.
TITLE | INFO | DESCRIPTION | EDITION | FREE | KINDLE |
NO PASSWORD REQUIRED FOR TITLES IN THIS SECTION | |||||
2013 Annual Report, Statistical Associates Publishers | Info | Pages: 8. Coverage: General. | 2013 | Free | No Kindle edition |
10 Worst Statistical Mistakes and Pitfalls | Info | Coverage: For selected statistical procedures | 2015 | Free | No Kindle edition |
Creating Simulated Datasets | Info | Pages: 15. Coverage: General, SPSS. | 2012 | Free | No Kindle edition |
Game Theory | Info | Pages: 15. Coverage: General. | 2012 | Free | No Kindle edition |
Probability | Info | Pages: 15. Coverage: General, SPSS, SAS, Stata. | 2013 | Free | No Kindle edition |
Testing Statistical Assumptions | Info | Pages: 51. Coverage: General, SPSS. | 2012 | Free | Coming |
E-MONOGRAPHS: ALL $5 AT AMAZON/KINDLE | |||||
Association, Measures of | Info | Pages: 49. Coverage: General, SPSS. | 2012 | Free | Buy at Amazon |
Correlation | Info | Pages: 60. Coverage: General, SPSS, SAS, Stata. | 2013 | Free | Buy at Amazon |
Correspondence Analysis | Info | Pages: 37. Coverage: General, SPSS. | 2012 | Free | Buy at Amazon |
Crosstabulation | Info | Pages: 60. Coverage: General, SPSS, SAS, Stata. | 2013 | Free | Buy at Amazon |
Curve Fitting & Nonlinear Regression | Info | Pages: 53. Coverage: General, SPSS. | 2012 | Free | Buy at Amazon |
Discriminant Function Analysis | Info | Pages: 52. Coverage: General, SPSS. | 2012 | Free | Buy at Amazon |
Life Tables & Kaplan-Meier Analysis | Info | Pages: 32. Coverage: General, SPSS. | 2012 | Free | Buy at Amazon |
Literature Review in Research and Dissertation Writing | Info | Pages: 52. Coverage: General. | 2013 | Free | Buy at Amazon |
Multidimensional Scaling | Info | Pages: 55. Coverage: General, SPSS. | 2012 | Free | Buy at Amazon |
Network Analysis | Info | Pages: 35. Coverage: General, UCINET. | 2012 | Free | Buy at Amazon |
Ordinal Regression | Info | Pages: 93. Coverage: General, SPSS, SAS, Stata. | 2014 | Free | Buy at Amazon |
Parametric Survival Analysis (Event History Analysis) | Info | Pages: 64. Coverage: General, Stata, SAS. | 2012 | Free | Buy at Amazon |
Partial Correlation | Info | Pages: 40. Coverage: General, SPSS, SAS, Stata. | 2014 | Free | Buy at Amazon |
Path Analysis | Info | Pages: 81. Coverage: General, SPSS AMOS. SAS, Stata. | 2014 | Free | Buy at Amazon |
Power Analysis | Info | Pages: 36. Coverage: General, SPSS SamplePower, G*Power. | 2012 | Free | Buy at Amazon |
Probit Regression & Response Models | Info | Pages: 92. Coverage: General, SPSS. | 2012 | Free | Buy at Amazon |
Research Design | Info | Pages: 53. Coverage: General. | 2013 | Free | Buy at Amazon |
Scales and Measures | Info | Pages: 91. Coverage: General, SPSS, SAS, Stata, WINSTEPS, jMetric | 2013 | Free | Buy at Amazon |
Survey Research & Sampling | Info | Pages: 82. Coverage: General. | 2013 | Free | Buy at Amazon |
Two-Stage Least Squares Regression | Info | Pages: 45. Coverage: General, Stata, SPSS, SAS. | 2013 | Free | Buy at Amazon |
Variance Components Analysis | Info | Pages: 37. Coverage: General, SPSS, SAS. | 2012 | Free | Buy at Amazon |
WLS: Weighted Least Squares Regression | Info | Pages: 54. Coverage: General, SPSS, SAS, Stata. | 2013 | Free |
Tags: data mining, motores de busca
Electronic Statistics Textbook: StatSoft
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, refs bibliográficas
Uma referência muito completa sobre métodos estatísticos e de data mining.
Proper citation:
- (Electronic Version): StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com/textbook/.
- (Printed Version): Hill, T. & Lewicki, P. (2007). STATISTICS: Methods and Applications. StatSoft, Tulsa, OK.
Overview of Elementary Concepts in Statistics. In this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of one’s general understanding of the “quantitative nature” of reality (Nisbet, et al., 1987). Because of space limitations, we will focus mostly on the functional aspects of the concepts discussed and the presentation will be very short.
Further information on each of those concepts can be found in the Introductory Overview and Examples sections of this manual and in statistical textbooks. Recommended introductory textbooks are: Kachigan (1986), and Runyon and Haber (1976); for a more advanced discussion of elementary theory and assumptions of statistics, see the classic books by Hays (1988), and Kendall and Stuart (1979).
Tags: análise de dados, data mining, Estat Descritiva, qualidade