<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gd="http://schemas.google.com/g/2005"><id>tag:blogger.com,1999:blog-7958828565254404797.post8121424613199408455..comments</id><updated>2024-12-13T03:11:35.450-08:00</updated><title type='text'>Comments on ListenData: Dimensionality Reduction with R</title><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://www.listendata.com/feeds/comments/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html'/><link rel="hub" href="http://pubsubhubbub.appspot.com/"/><author><name>Deepanshu Bhalla</name><uri>http://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>11</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-7285368651093754538</id><published>2021-01-06T08:34:42.010-08:00</published><updated>2021-01-06T08:34:42.010-08:00</updated><title type='text'>with this i know i&amp;#39;m not alone in data science...</title><content type='html'>with this i know i&amp;#39;m not alone in data science</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/7285368651093754538'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/7285368651093754538'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1609950882010#c7285368651093754538' title=''/><author><name>Emmanuel</name><uri>https://www.blogger.com/profile/15380787574172947898</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-2012460932"/><gd:extendedProperty name="blogger.displayTime" value="January 6, 2021 at 8:34 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-8169693168871481834</id><published>2017-01-09T18:46:56.099-08:00</published><updated>2017-01-09T18:46:56.099-08:00</updated><title type='text'>What a informative post! It&amp;#39;s really helpful. ...</title><content type='html'>What a informative post! It&amp;#39;s really helpful. &lt;br /&gt;But I have a question. findCorrelation() function searches columns to remove to reduce pair-wise correlations. Then, is it different with vif() function?&lt;br /&gt;vif() function calculates multi-collinearity. what&amp;#39;s the difference? </content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/8169693168871481834'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/8169693168871481834'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1484016416099#c8169693168871481834' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/10369024663689566434</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1277632376"/><gd:extendedProperty name="blogger.displayTime" value="January 9, 2017 at 6:46 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-1801702642690844177</id><published>2016-10-16T05:36:40.367-07:00</published><updated>2016-10-16T05:36:40.367-07:00</updated><title type='text'>I have added more description in the article. Hope...</title><content type='html'>I have added more description in the article. Hope it helps.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/1801702642690844177'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/1801702642690844177'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1476621400367#c1801702642690844177' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/399803728321551600'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="October 16, 2016 at 5:36 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-7247638055408058399</id><published>2016-10-11T10:59:29.380-07:00</published><updated>2016-10-11T10:59:29.380-07:00</updated><title type='text'>What do you mean by mean absolute correlation of e...</title><content type='html'>What do you mean by mean absolute correlation of each variable? How can we compute the correlation of a single variable? Thanks.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/7247638055408058399'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/7247638055408058399'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1476208769380#c7247638055408058399' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/399803728321551600'/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/17562822903953745242</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-174432166"/><gd:extendedProperty name="blogger.displayTime" value="October 11, 2016 at 10:59 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-886173384629988902</id><published>2015-07-21T01:30:19.815-07:00</published><updated>2015-07-21T01:30:19.815-07:00</updated><title type='text'>Really like the way you have created a whole corre...</title><content type='html'>Really like the way you have created a whole correlation module. Thanks. Any other articles you have written on pre-analytics visualization in R?</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/886173384629988902'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/886173384629988902'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1437467419815#c886173384629988902' title=''/><author><name>Varun</name><uri>https://www.blogger.com/profile/02212721215257461694</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-455144171"/><gd:extendedProperty name="blogger.displayTime" value="July 21, 2015 at 1:30 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5136280713077091366</id><published>2015-07-01T10:48:30.788-07:00</published><updated>2015-07-01T10:48:30.788-07:00</updated><title type='text'>It is because OOB error is very small. Scope of im...</title><content type='html'>It is because OOB error is very small. Scope of improvement is very minimal. Hence, improve = 0.01 fails. You can ignore this line of code and just to the next step. Set 4 to mtry instead of mtry = best.m. See the code below -&lt;br /&gt;rf &amp;lt;-randomForest(classe~.,data=dat3, mtry=4, importance=TRUE,ntree=1000)</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/5136280713077091366'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/5136280713077091366'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1435772910788#c5136280713077091366' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/583626847769800541'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="July 1, 2015 at 10:48 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-583626847769800541</id><published>2015-07-01T00:08:30.346-07:00</published><updated>2015-07-01T00:08:30.346-07:00</updated><title type='text'>Hi Deepanshu,&#xa;Thanks for your very useful code. I ...</title><content type='html'>Hi Deepanshu,&lt;br /&gt;Thanks for your very useful code. I am getting error in the mtry command as mentioned below. Any clue to solve that ?&lt;br /&gt;mtry &amp;lt;- tuneRF(dat3[, -36], dat3[,36], ntreeTry=1000, stepFactor=1.5,improve=0.01, trace=TRUE, plot=TRUE)&lt;br /&gt;mtry = 5  OOB error = 0% &lt;br /&gt;Searching left ...&lt;br /&gt;mtry = 4  OOB error = 0% &lt;br /&gt;NaN 0.01 &lt;br /&gt;Error in if (Improve &amp;gt; improve) { : missing value where TRUE/FALSE needed</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/583626847769800541'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/583626847769800541'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1435734510346#c583626847769800541' title=''/><author><name>siddu</name><uri>https://www.blogger.com/profile/12677519659101457972</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1993063096"/><gd:extendedProperty name="blogger.displayTime" value="July 1, 2015 at 12:08 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-8190635043253718957</id><published>2015-06-30T23:29:56.563-07:00</published><updated>2015-06-30T23:29:56.563-07:00</updated><title type='text'>No, it keeps one variable among the 2 highly corre...</title><content type='html'>No, it keeps one variable among the 2 highly correlated variables. If two variables have a high correlation, the function looks at the mean absolute correlation of each variable and removes the SINGLE variable with the largest mean absolute correlation.&lt;br /&gt;</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/8190635043253718957'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/8190635043253718957'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1435732196563#c8190635043253718957' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/399803728321551600'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="June 30, 2015 at 11:29 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-399803728321551600</id><published>2015-06-30T14:29:23.145-07:00</published><updated>2015-06-30T14:29:23.145-07:00</updated><title type='text'>Hi Manish, nice article.&#xa;One question&#xa;If we are re...</title><content type='html'>Hi Manish, nice article.&lt;br /&gt;One question&lt;br /&gt;If we are removing highly correlated variables, do we keep one variable among the highly correlated set (cluster) to represent the other removed variables of the set or do we remove all of them?</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/399803728321551600'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/399803728321551600'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1435699763145#c399803728321551600' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/13801737029415139684</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1092656894"/><gd:extendedProperty name="blogger.displayTime" value="June 30, 2015 at 2:29 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-8284888410445648407</id><published>2015-06-27T08:15:25.893-07:00</published><updated>2015-06-27T08:15:25.893-07:00</updated><title type='text'>Glad you liked it. Stay tuned :-)</title><content type='html'>Glad you liked it. Stay tuned :-)</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/8284888410445648407'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/8284888410445648407'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1435418125893#c8284888410445648407' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/5597737466658059680'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="June 27, 2015 at 8:15 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5597737466658059680</id><published>2015-06-27T07:54:07.005-07:00</published><updated>2015-06-27T07:54:07.005-07:00</updated><title type='text'>great article. I am learning R and this was very h...</title><content type='html'>great article. I am learning R and this was very helpful indeed. Please keep writing more hands on how to do this in R stuff:-)&lt;br /&gt;cheers&lt;br /&gt;Manish</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/5597737466658059680'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/8121424613199408455/comments/default/5597737466658059680'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html?showComment=1435416847005#c5597737466658059680' title=''/><author><name>Manish Mahajan</name><uri>http://www.twitter.com/manizoya</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/06/simplest-dimensionality-reduction-with-r.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-8121424613199408455' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/8121424613199408455' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-6939909"/><gd:extendedProperty name="blogger.displayTime" value="June 27, 2015 at 7:54 AM"/></entry></feed>