- R-br - DINF UFPR

código em R
by alanarocha＠sapo.pt 28 Nov '12

28 Nov '12

modC<-lm(pthi~dose+grupo) modC Call: lm(formula = pthi ~ dose + grupo) Coefficients: (Intercept) dose grupoH 752.8614 0.1791 -159.5864 summary(modC) Call: lm(formula = pthi ~ dose + grupo) Residuals: Min 1Q Median 3Q Max -862.97 -323.87 -60.89 222.13 1936.94 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 752.86139 84.56014 8.903 1.22e-15 *** dose 0.17913 0.08253 2.171 0.0315 * grupoH -159.58641 92.49382 -1.725 0.0864 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 540.3 on 158 degrees of freedom (1 observation deleted due to missingness) Multiple R-squared: 0.03447, Adjusted R-squared: 0.02225 F-statistic: 2.82 on 2 and 158 DF, p-value: 0.0626 eu fiz isto, percebo que o grupo C aparece por defeito do R. ams como esplico no relatorio qual o valor estimado para o grupo C e para o grupo H? E se no meu ficheiro de dados o H aparece primeiro porque é que o R considera o C primeiro? Ana

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código em R
by alanarocha＠sapo.pt 28 Nov '12

28 Nov '12

modC<-lm(pthi~dose+grupo) modC Call: lm(formula = pthi ~ dose + grupo) Coefficients: (Intercept) dose grupoH 752.8614 0.1791 -159.5864 summary(modC) Call: lm(formula = pthi ~ dose + grupo) Residuals: Min 1Q Median 3Q Max -862.97 -323.87 -60.89 222.13 1936.94 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 752.86139 84.56014 8.903 1.22e-15 *** dose 0.17913 0.08253 2.171 0.0315 * grupoH -159.58641 92.49382 -1.725 0.0864 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 540.3 on 158 degrees of freedom (1 observation deleted due to missingness) Multiple R-squared: 0.03447, Adjusted R-squared: 0.02225 F-statistic: 2.82 on 2 and 158 DF, p-value: 0.0626 eu fiz isto, percebo que o grupo C aparece por defeito do R. ams como esplico no relatorio qual o valor estimado para o grupo C e para o grupo H? E se no meu ficheiro de dados o H aparece primeiro porque é que o R considera o C primeiro? Ana

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Separando nomes com espaços em branco após o nome
by Fátima Lima Paula 28 Nov '12

28 Nov '12

Prezados, já aprendi a separar nomes, mas agora surgiu um problema: esse banco que estou usando, foi exportado do sihd2 e vem com os espaços do campo que é para ser preenchido. Assim, tenho nomes com esse aspecto: nome=c("Maria Tereza dos Santos ", "Jorge Roberto da Silva ", "José de Faria Almeida ") nome=factor(nome) idade=c(76,87,98) data=data.frame(nome, idade) Preciso que os nomes sejam divididos da seguinte forma: data$nome1=c("Maria", "Jorge", "José") data$nome2=c("Tereza dos", "Roberto da","de Faria") data$nome3=c("Santos", "Silva", "Almeida") Fui usar o script que guardei do Walmes, mas não deu certo. O problema está nos espaços que ficam depois do nome. Só para ilustrar, vejam o que retorna: separado=strsplit(as.character(nome),split=" ") > head(separado) [[1]] [1] "Maria" "Tereza" "dos" "Santos" "" "" "" "" [9] "" "" "" "" "" [[2]] [1] "Jorge" "Roberto" "da" "Silva" "" "" "" [8] "" "" "" "" "" "" [[3]] [1] "José" "de" "Faria" "Almeida" "" "" "" [8] "" "" "" "" "" "" "" [15] "" "" "" "" O pior é que não existe um número constante de espaços, nem de total de linhas. É exatamente assim como no exemplo. Alguém pode me ajudar, por favor?

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dúvida em código
by alanarocha＠sapo.pt 28 Nov '12

28 Nov '12

sim eu já tinha removido essa linha e o problema é o mesmo.

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dúvida em codigo
by alanarocha＠sapo.pt 28 Nov '12

28 Nov '12

Eu não estou a perceber porque é que o meu codigo le 3 níveis quando devia ser so 2 H e C. https://dl.dropbox.com/u/9337305/regressão.R Ana

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Re: [R-br] [STAT-MATH] Instalação do Revolution R - pede serial number
by Richard Santos 27 Nov '12

27 Nov '12

Não sei se todos concordam comigo, mas penso que seria importante divulgar para as empresas e empregadores e governo que o Revolution R comercial, que permite várias opções com BigData, é pago também, assim como o SPSS, Minitab, etc. Deixa de ter a vantagem de ser um software livre. 2012/11/27 Flavio Barros <flaviomargarito(a)gmail.com> > ** > > > Como você baixou? Se você fez um cadastro deve ter recebido esse número no > seu e-mail. Caso contrário faça o cadastro para uso acadêmico que você > recebe o serial no e-mail. > > Para uso comercial tem que comprar a licença. > > Flavio Barros > [image: Facebook] <http://www.facebook.com/flavio.barros.1650?ref=tn_tnmn> [image: > LinkedIn] <http://www.linkedin.com/profile/view?id=61839390&trk=tab_pro> > Contact me: [image: Google Talk] flaviomargarito(a)gmail.com > “"If ever there is tomorrow when we're not together.. there is something > you must always remember. you are braver than you believe, stronger than > you seem, and smarter than you think. but the most important thing is, even > if we're apart.. i'll always be with you." - Winnie the Pooh<http://www.quotesdaddy.com/quote/280037/winnie-the-pooh/if-ever-there-is-to…> > ” Get this email app! <http://www.wisestamp.com/apps/quotes?utm_source=extension&utm_medium=email&…> > > Create your free signature: > <http://r1.wisestamp.com/r/landing?promo=33&dest=http%3A%2F%2Fwww.wisestamp.…> CLICK > HERE!<http://r1.wisestamp.com/r/landing?promo=33&dest=http%3A%2F%2Fwww.wisestamp.…> > > > 2012/11/27 Richard Santos <jamesrichardsantos(a)gmail.com> > >> ** >> >> >> Caros, >> A instalação do Revolution R pede um serial number, que parece ser de >> 12 dígitos. Qual digito? rsrssrsr >> Richard >> > > > __._,_.___ > > <flaviomargarito@gmail.com?subject=Res%3A%20Re%3A%20%5BSTAT-MATH%5D%20Instala%E7%E3o%20do%20Revolution%20R%20-%20pede%20serial%20number>| através > de email<STAT-MATH@yahoogrupos.com.br?subject=Res%3A%20Re%3A%20%5BSTAT-MATH%5D%20Instala%E7%E3o%20do%20Revolution%20R%20-%20pede%20serial%20number>| Responder > através da web<http://br.groups.yahoo.com/group/STAT-MATH/post;_ylc=X3oDMTJxamFnMG02BF9TAz…>| Adicionar > um novo tópico<http://br.groups.yahoo.com/group/STAT-MATH/post;_ylc=X3oDMTJlMWU2ZDM5BF9TAz…> > Mensagens neste tópico<http://br.groups.yahoo.com/group/STAT-MATH/message/27136;_ylc=X3oDMTM2bWU4c…>( > 2) > Atividade nos últimos dias: > > - Novos usuários<http://br.groups.yahoo.com/group/STAT-MATH/members;_ylc=X3oDMTJmN3ZzdHNyBF9…> > 17 > > Visite seu Grupo<http://br.groups.yahoo.com/group/STAT-MATH;_ylc=X3oDMTJlNnB0ZGpuBF9TAzk3NDk…> > O Dia dos Namorados está chegando. Encontre alguém especial até lá!<http://global.ard.yahoo.com/SIG=15mg922oo/M=830568.15128937.14797398.129601…> > ------------------------------ > Não passe mais um Dia dos Namorados sozinho(a). Conheça o Y! Encontros.<http://global.ard.yahoo.com/SIG=15m73tkvv/M=758712.15012700.14784528.129601…> > [image: Yahoo! Grupos]<http://br.groups.yahoo.com/;_ylc=X3oDMTJkM3Q4cTgxBF9TAzk3NDkwNDM1BGdycElkAz…> > Trocar para: SÃ³ Texto<STAT-MATH-traditional@yahoogrupos.com.br?subject=Mudar+Formato+de+Envio:+Tradicional>, > Resenha DiÃ¡ria<STAT-MATH-digest@yahoogrupos.com.br?subject=Envio+de+email:+Resenha>• Sair > do grupo <STAT-MATH-unsubscribe(a)yahoogrupos.com.br?subject=Sair+do+grupo>• Termos > de uso <http://br.yahoo.com/info/utos.html> > . > > __,_._,___ >

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OT Fwd: Revolution Webinar Series: Real-time Big Data Analytics: From Deployment to Production
by Leandro Marino 27 Nov '12

27 Nov '12

Enviado de um dispositivo móvel. Sent from a mobile device. ---------- Mensagem encaminhada ---------- De: "Revolution Analytics" <info(a)revolutionanalytics.com> Data: 27/11/2012 21:49 Assunto: Revolution Webinar Series: Real-time Big Data Analytics: From Deployment to Production Para: <leandromarino(a)leandromarino.com.br> ** [image: Revolution Analytics] 2012 Fall Webinar Series Hello Everyone! There's still time to register for this Thursday's webinar " *Real-time Big Data Analytics: From Deployment to Production<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> *" presented by David Smith, VP of Marketing & Community at Revolution Analytics. Join us as David describes the five stages of real-time analytics deployment, the technologies supporting each stage, and how Revolution Analytics software works with the entire analytics stack to bring Big Data analytics to real-time production environments. *Reserve your seat now!<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * Featured Webinar [image: David Smith] *Real-time Big Data Analytics: From Deployment to Production<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * As the Big Data market has evolved, the focus has shifted from data operations (storage, access and processing of data) to data science (understanding, analyzing and forecasting from data). And as new models are developed, organizations need a process for deploying analytics from research into the production environment. In this talk, we'll describe the five stages of real-time analytics deployment: - Data distillation - Model development - Model validation and deployment - Model refresh - Real-time model scoring We'll review the technologies supporting each stage, and how Revolution Analytics software works with the entire analytics stack to bring Big Data analytics to real-time production environments. [image: REGISTER NOW]<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> [image: Presenter] *David Smith* VP Marketing & Community, Revolution Analytics [image: Date] *Thursday, November 29, 2012* [image: Time] *10:00AM - 11:00AM Pacific Time* (Click here for time in your local time zone<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> ) Archived Webinars *Presented Nov 15, 2012* *New Advances in High Performance Analytics with R: ‘Big Data’ Decision Trees and Analysis of Hadoop Data<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * Revolution R Enterprise 6.1 includes two important advances in high performance predictive analytics with R: (1) big data decision trees, and (2) the ability to easily extract and perform predictive analytics on data stored in the Hadoop Distributed File System (HDFS). Classification and regression trees are among the most frequently used algorithms for data analysis and data mining. The implementation provided in Revolution Analytics’ RevoScaleR package is parallelized, scalable, distributable, and designed with big data in mind. *Presented Nov 8, 2012* *Order Fulfillment Forecasting at John Deere: How R Facilitates Creativity and Flexibility<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * Statistical analysis has been known to be invaluable to any manufactory's quality assurance for decades. Recently the value of valid statistical analysis has also been demonstrated to radically improve the ability of a company's ability to weather extreme peaks and valley in customer demand. John Deere has been able to adjust to commodity spikes and housing downturns much better than its competitors have. This is in part due to the implementation of statistical analysis and the use of R software in the order fulfillment function of John Deere. *Presented Nov 1, 2012* *The Rise of Data Science in the Age of Big Data Analytics: Why Data Distillation and Machine Learning Aren't Enough*<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> The reason why Big Data is important is because we want to use it to make sense of our world. It's tempting to think there's some "magic bullet" for analyzing big data, but simple "data distillation" often isn't enough, and unsupervised machine-learning systems can be dangerous. (Like, bringing-down-the-entire-financial-system dangerous.) Data Science is the key to unlocking insight from Big Data: by combining computer science skills with statistical analysis and a deep understanding of the data and problem we can not only make better predictions, but also fill in gaps in our knowledge, and even find answers to questions we hadn't even thought of yet. *Presented Jun 28, 2012* *Achieving High-Performing, Simulation-Based Operational Risk Measurement with RevoScaleR<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * Under the Basel II Accord, financial institutions are required for the first time to determine capital requirements for a new class of risk – operational risk. Large and internally active banks are required to estimate operational risk exposure using the Advanced Measurement Approach (AMA), which relies on advanced empirical models. As banks continue to develop and enhance their own AMA models for operational risk measurement, they are increasingly utilizing R to perform various modeling tasks. *Presented Jun 20, 2012* *100% R and More: Plus What's New in Revolution R Enterprise 6.0<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this webinar, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise. *Presented Jun 5, 2012* *Introduction to R for Data Mining<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * We at Revolution Analytics are often asked “What is the best way to learn R?” While acknowledging that there may be as many effective learning styles as there are people we have identified three factors that greatly facilitate learning R. In this webinar, we focus on data mining as the application area and show how anyone with just a basic knowledge of elementary data mining techniques can become immediately productive in R. *Presented May 2, 2012* *R + Hadoop = Big Data Analytics<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * RHadoop is an open source project spearheaded by Revolution Analytics to grant data scientists access to Hadoop’s scalability from their favorite language, R. It allows users to write general MapReduce programs, offering the full power and ecosystem of an existing, established programming language. In this webinar, Antonio will provide a brief introduction to Hadoop and R. He will describe how rmr allows R developers to program in the MapReduce framework, and provides for all developers an alternative way to implement MapReduce programs that strikes a delicate compromise between power and usability. *Presented Mar 28, 2012* *Actuarial Analytics in R<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…> * With data analysis showing up in domains as varied as baseball, evidence-based medicine, predicting recidivism and child support lapses, judging wine quality, credit scoring, supermarket scanner data analysis, and “genius” recommendation engines, “business analytics” is part of the zeitgeist. This is a good moment for actuaries to remember that their discipline is arguably the first – and a quarter of a millennium old – example of business analytics at work. Today, the widespread availability of sophisticated open-source statistical computing and data visualization environments provides the actuarial profession with an unprecedented opportunity to deepen its expertise as well as broaden its horizons, living up to its potential as a profession of creative and flexible data scientists. *View and download all of this year's archived webinars from the Revolution Analytics website<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJl…>. * *Revolution Analytics* 101 University Ave, Suite 300, Palo Alto, CA 94301. 1-855-GET-REVO / +1 650 646 9545 *Email management options: Unsubscribe from all<http://info.revolutionanalytics.com/UnsubscribePage.html?mkt_unsubscribe=1&…>| Manage my email subscription frequency<http://info.revolutionanalytics.com/ManageYourSubscriptions.html>| Update my profile <http://info.revolutionanalytics.com/UpdateYourProfile.html>*

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Criar uma coluna a partir de campos de outra coluna
by Fátima Lima Paula 27 Nov '12

27 Nov '12

Prezados, tenho: nome=c("Maria","João","Pedro","Tereza","José") idade=c(79,87,80,69,72) doenca=c("tifo", "coqueluche","catapora","tifo","sarampo") data=data.frame(nome,idade,doenca) data Quero criar no data, uma coluna chamada tifo que terá essa aparência: tifo=c("sim","não","não","sim","não") Alguém poderia me ajudar?

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Acesso a planilha do formulário de pesquisa R_br
by Fabio Mathias Corrêa 27 Nov '12

27 Nov '12

Pessoal, Segue o link para quem quiser ir brincando com os dados da planilha de pesquisa sobre o perfil dos usuário do R no Brasil. A planilha não pode ser modificada, apenas visualizada! Se alguém tiver algum local que possa disponibilizar os gráficos, seria bom também! https://docs.google.com/spreadsheet/ccc?key=0AsTYxk2c2WjedFpZSEh1QWhuNWpsNV… Valeu! Fábio Mathias Corrêa Universidade Estadual de Santa Cruz Departamento de Ciências Exatas e da Terra - DCET Campus Soane Nazaré de Andrade, km 16 Rodovia Ilhéus-Itabuna CEP 45662-900. Ilhéus-Bahia Tel.: 73-3680-5076

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cadastro de usuários R - Recife
by Ary Casado 27 Nov '12

27 Nov '12

Pessoal, Estou começando a divulgar a ideia de um grupo de discussão e estudos sobre R aqui no Recife, baseado no que começou a ser discutido na lista. Gostaria de entrar entrar em contato com usuários da lista que sejam do Recife e interior, vinculados a UFPE, UFRPE, UPE e outras instituições para que possamos preparar um cadastro desses usuários, juntar com o cadastro de usuários que não estão na lista e partir para uma primeira reunião de interessados. Então entrem em contato com o meu e-mail pessoal (ary_casado(a)yahoo.com.br) para que possamos dar o primeiro passo. Como trabalho aqui na UFPE penso em fazer a divulgação dos não participantes da lista através de e-mail, facebook e pequenos cartazes nos quadros de avisos dos departamentos. Arykerne Nascimento Eng. Químico - UFPE Especialista em Informática - UFPE Mestrando em Ciências Nucleares - UFPE

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