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Experience with R

Friday, September 3, 2010. All = unique(c(A, B, C, D). Distribution = matrix(0, ncol=4, nrow=length(All) ;. Colnames(Distribution) -c('A','B','C','D');. Distribution[A, 1] = 1;. Distribution[B, 2] = 1;. Distribution[C, 3] = 1;. Distribution[D, 4] = 1;. A - vennCounts(Distribution[ ,c(1, 3,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. A - vennCounts(Distribution[ ,c(1, 2,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. Posted by Gary H.Y. Ge. It is re...

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Friday, September 3, 2010. All = unique(c(A, B, C, D). Distribution = matrix(0, ncol=4, nrow=length(All) ;. Colnames(Distribution) -c('A','B','C','D');. Distribution[A, 1] = 1;. Distribution[B, 2] = 1;. Distribution[C, 3] = 1;. Distribution[D, 4] = 1;. A - vennCounts(Distribution[ ,c(1, 3,4)]); vennDiagram(a, main= , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. A - vennCounts(Distribution[ ,c(1, 2,4)]); vennDiagram(a, main= , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. Posted by Gary H.Y. Ge. It is re...

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Experience with R | statisticsr.blogspot.com Reviews

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Friday, September 3, 2010. All = unique(c(A, B, C, D). Distribution = matrix(0, ncol=4, nrow=length(All) ;. Colnames(Distribution) -c('A','B','C','D');. Distribution[A, 1] = 1;. Distribution[B, 2] = 1;. Distribution[C, 3] = 1;. Distribution[D, 4] = 1;. A - vennCounts(Distribution[ ,c(1, 3,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. A - vennCounts(Distribution[ ,c(1, 2,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. Posted by Gary H.Y. Ge. It is re...

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Experience with R: Notes for Bagging and Boosting, SVM

http://statisticsr.blogspot.com/2008/10/bagging-and-boosting.html

Sunday, October 26, 2008. Notes for Bagging and Boosting, SVM. The bootstrap approach does the next best thing by taking repeated a random sample, with replacement, of the same size as the original sample. Bagging: use the bootstrap approach which does the next best thing by taking repeated samples from the training data. We therefore end up with B different training data sets. We can train our method on each data set and then average all the predictions it will reduce the variance by sqrt(B). Relative I...

2

Experience with R: How to show the distribution of several data set together

http://statisticsr.blogspot.com/2008/10/how-to-show-distribution-of-several.html

Monday, October 20, 2008. How to show the distribution of several data set together. Plot(density(x1), xlim=range( c(x1, x2, x3) ), main=" , xlab=" ). Rug plots for displaying actual data points. Rug(x1, col=1, ticksize=0.01, line=2.5). Rug(x2, col=2, ticksize=0.01, line=3.0). Rug(x3, col=3, ticksize=0.01, line=3.5). Or use stacking box plot. Hist(x1, breaks=seq(min(all), max(all) 0.999, by=0.1),. Xlim = c(min(all), max(all 0.01) , ylim=c(0, 55),. Main = "hist", xlab = "distribution", ylab= " , col=1);.

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Experience with R: September 2010

http://statisticsr.blogspot.com/2010_09_01_archive.html

Friday, September 3, 2010. All = unique(c(A, B, C, D). Distribution = matrix(0, ncol=4, nrow=length(All) ;. Colnames(Distribution) -c('A','B','C','D');. Distribution[A, 1] = 1;. Distribution[B, 2] = 1;. Distribution[C, 3] = 1;. Distribution[D, 4] = 1;. A - vennCounts(Distribution[ ,c(1, 3,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. A - vennCounts(Distribution[ ,c(1, 2,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. Posted by Gary H.Y. Ge.

4

Experience with R: note for best subset regression and ridge lasso regression

http://statisticsr.blogspot.com/2008/10/note-for-ridge-lasso-regression.html

Tuesday, October 21, 2008. Note for best subset regression and ridge lasso regression. Lasso use {lars} package, ridge and optim.lm use {leaps} package. Use leaps package to find the best linear model based on BIC AIC. Select 300 out of total 400 samples to be the training set and 100 be the test set. 1] "Sales" "CompPrice" "Income" "Advertising" "Population" "Price" "ShelveLoc" # "Age" "Education" "Urban" "US". Td=sample(400,300,replace=F);. If (is.null(val.size). Points(order(summary(regfit.full)$b...

5

Experience with R: colors()

http://statisticsr.blogspot.com/2009/02/colors.html

Monday, February 9, 2009. Use colors() to specify the color. Posted by Gary H.Y. Ge. Subscribe to: Post Comments (Atom). Combine redundant rows into one. Use mtext() to label sub graph.

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Statistics tutor | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. Go to : Statistics tutor. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Chat with me (Manos Parzakonis).

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Manos Parzakonis | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. It’s time,huh? April 7, 2010. Well, i managed to take my personal webspace somewhere out there and of course the first thing to set up was my blog😉. WordPress, was great but there was limitations you know. At this point I’d like to present you my new blog address, statsravingmad.com/blog. I hope y’all follow me there. Please update you bookmarks…. April 2, 2010. Probability manipulations with Mathematica…. April 1, 2010. Solve[{M...

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It’s time,huh? | Stats raving mad

https://statsravingmad.wordpress.com/2010/04/07/its-timehuh

Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. It’s time,huh? It’s time,huh? April 7, 2010. Well, i managed to take my personal webspace somewhere out there and of course the first thing to set up was my blog😉. WordPress, was great but there was limitations you know. At this point I’d like to present you my new blog address, statsravingmad.com/blog. I hope y’all follow me there. Please update you bookmarks…. Leave a Reply Cancel reply. Enter your comment here. R 2110 due date.

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Statistical advise for PhD | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. Statistical advise for PhD. Go to : Statistical advise for PhD. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. Notify me of new comments via email. R 2110 due date.

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mySocial Media | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. Most people normally have (at least) one email account. So, send your mails @. Statsraving.mad admin AT. Nowadays people have may social media to communicate thru. I have (limited) social media ports,. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. Chat with me (Manos Parzakonis).

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Statistical advise | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. Go to : Statistical advise. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Chat with me (Manos Parzakonis).

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My Thesis | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. Committee : G. Iliopoulos. Supervisor), M. Kateri. This dissertation aims to present the theoretical background along with practical algorithms in the class of linear models. Pdf/In Greek] and Slides. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. Chat with me (Manos Parzakonis).

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CV | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. Graduate of University of Piraeus, School of Economics. MSc in Applied Statistics (2006-2008) (Grade : 7,3/10). Core topics : Statistics, Finance, Data Analysis. Specialization : Statistical methods in Finance. Committee : G. Iliopoulos (supervisor), M. Kateri , I. Ntzoufras]. BS in Statistics and Insurance Science (2002-2006) (Grade : 7,25/10). Computational and Quantitive Finance. Basic use of Stata and E-Views. 4,942 a hits, wh...

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In church… | Stats raving mad

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. April 2, 2010. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. Build a...

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Do stats drive you mad? Statistical advise for PhD. The Springer GTM test. Wubi is an officially supported Ubuntu installer for Windows users that can bring you to the Linux world with a single click. Wubi allows you to install and uninstall Ubuntu as any other Windows application, in a simple and safe way. Are you curious about Linux and Ubuntu? Trying them out has never been easier! Please choose your preferred CRAN mirror. Gretl is an open-source. The name is an acronym for Gnu. It is written in C.

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Experience with R

Friday, September 3, 2010. All = unique(c(A, B, C, D). Distribution = matrix(0, ncol=4, nrow=length(All) ;. Colnames(Distribution) -c('A','B','C','D');. Distribution[A, 1] = 1;. Distribution[B, 2] = 1;. Distribution[C, 3] = 1;. Distribution[D, 4] = 1;. A - vennCounts(Distribution[ ,c(1, 3,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. A - vennCounts(Distribution[ ,c(1, 2,4)]); vennDiagram(a, main=" , mar=c(0.5, 0.5, 0.5, 0.5), cex=0.9, lwd=1);. Posted by Gary H.Y. Ge. It is re...

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