similar to: lda, collinear variables and CV

Displaying 20 results from an estimated 2000 matches similar to: "lda, collinear variables and CV"

2012 Aug 14
0
Problems with lda-CV, and collinear variables in lda
Dear R-help list, two issues regarding lda. 1) I'm puzzled by the fact that lda's in-build cross-validation gives results different from the manual cross-validation routine that I run (of course mine may be wrong, but I don't think so). See here: library(MASS) set.seed(12345) n <- 50 p <- 10 # or p<- 200 testdata <- matrix(ncol=p,nrow=n) for (i in 1:p) testdata[,i]
2013 Jan 08
0
bagging SVM Ensemble
Dear Sir, I got a problem with my program. I would like to classify my data using bagging support vector machine ensemble. I split my data into training data and test data. For a given data sets TR(X), K replicated training data sets are first randomly generated by bootstrapping technique with replacement. Next, Support Vector Mechine (SVM) is applied for each bootstrap data sets. Finally, the
2020 Oct 28
0
R for-loop to add layer to lattice plot
On Tue, Oct 27, 2020 at 6:04 PM Luigi Marongiu <marongiu.luigi at gmail.com> wrote: > > Hello, > I am using e1071 to run support vector machine. I would like to plot > the data with lattice and specifically show the hyperplanes created by > the system. > I can store the hyperplane as a contour in an object, and I can plot > one object at a time. Since there will be
2020 Oct 23
0
How to shade area between lines in ggplot2
Hi What about something like p+geom_ribbon(aes(ymin = slope_1*x + intercept_1 - 1/w[2], ymax = slope_1*x + intercept_1 + 1/w[2], fill = "grey70", alpha=0.1)) Cheers Petr > -----Original Message----- > From: Luigi Marongiu <marongiu.luigi at gmail.com> > Sent: Friday, October 23, 2020 11:11 AM > To: PIKAL Petr <petr.pikal at precheza.cz> > Cc: r-help
2011 Jan 24
5
Train error:: subscript out of bonds
Hi, I am trying to construct a svmpoly model using the "caret" package (please see code below). Using the same data, without changing any setting, I am just changing the seed value. Sometimes it constructs the model successfully, and sometimes I get an ?Error in indexes[[j]] : subscript out of bounds?. For example when I set seed to 357 following code produced result only for 8
2010 Nov 23
5
cross validation using e1071:SVM
Hi everyone I am trying to do cross validation (10 fold CV) by using e1071:svm method. I know that there is an option (?cross?) for cross validation but still I wanted to make a function to Generate cross-validation indices using pls: cvsegments method. ##################################################################### Code (at the end) Is working fine but sometime caret:confusionMatrix
2020 Oct 23
2
How to shade area between lines in ggplot2
also from this site: https://plotly.com/ggplot2/geom_ribbon/ I get the answer is geom_ribbon but I am still missing something ``` #! plot p = ggplot(data = trainset, aes(x=x, y=y, color=z)) + geom_point() + scale_color_manual(values = c("red", "blue")) # show support vectors df_sv = trainset[svm_model$index, ] p = p + geom_point(data = df_sv, aes(x=x, y=y),
2020 Oct 27
3
R for-loop to add layer to lattice plot
Hello, I am using e1071 to run support vector machine. I would like to plot the data with lattice and specifically show the hyperplanes created by the system. I can store the hyperplane as a contour in an object, and I can plot one object at a time. Since there will be thousands of elements to plot, I can't manually add them one by one to the plot, so I tried to loop into them, but only the
2020 Oct 26
0
How to shade area between lines in ggplot2
Hi Put fill outside aes p+geom_ribbon(aes(ymin = slope_1*x + intercept_1 - 1/w[2], ymax = slope_1*x + intercept_1 + 1/w[2]), fill = "blue", alpha=0.1) The "hole" is because you have two levels of data (red and blue). To get rid of this you should put new data in ribbon call. Something like newdat <- trainset newdat$z <- factor(0) p+geom_ribbon(data=newdat, aes(ymin =
2009 Mar 11
1
prediction error for test set-cross validation
Hi, I have a database of 2211 rows with 31 entries each and I manually split my data into 10 folds for cross validation. I build logistic regression model as: >model <- glm(qual ~ AgGr + FaHx + PrHx + PrSr + PaLp + SvD + IndExam + Rad +BrDn + BRDS + PrinFin+ SkRtr + NpRtr + SkThck +TrThkc + SkLes + AxAdnp + ArcDst + MaDen + CaDt + MaMG + MaMrp + MaSh +
2006 Feb 28
2
Need help with a Power Find()
I was hoping someone would be able to help me with creating a method. I have two tables. What I am trying to do is create a list of all the id''s from table2 that aren''t currently referenced by Table1''s address_id column. That way, when I create a new customer I can have a drop down list in the view of all the addresses that are not currently being used. ##### Database
2012 Jan 03
1
sqldf and not converting integers to floating point in SQLite
Hi, I have following 2 tables: Table 1: POSTAL | VALUE 1000|49 1010|100 1020|50 Table 2: INSEE | POSTAL A|1000 B|1000 C|1010 D|1020 I would like to convert this to the following: INSEE | VALUE_SPREAD A|24.5 B|24.5 C|100 D|50 I can achieve this with a nested SQL query (through counting the number of POSTAL that belong to any given INSEE, and diving the value of the postal in that INSEE by
2020 Oct 23
2
How to shade area between lines in ggplot2
Thank you, but this split the area into two and distorts the shape of the plot. (compared to ``` p + geom_abline(slope = slope_1, intercept = intercept_1 - 1/w[2], linetype = "dashed", col = "royalblue") + geom_abline(slope = slope_1, intercept = intercept_1 + 1/w[2], linetype = "dashed", col = "royalblue") ``` Why there
2012 Dec 02
2
How to re-combine values based on an index?
I am able to split my df into two like so: dataset <- trainset index <- 1:nrow(dataset) testindex <- sample(index, trunc(length(index)*30/100)) trainset <- dataset[-testindex,] testset <- dataset[testindex,-1] So I have the index information, how could I re-combine the data using that back into a single df? I tried what I thought might work, but failed with:
2011 Nov 30
1
Replace columns in a data.frame randomly splitted
Dear community, I'm working with the data.frame attached ( http://r.789695.n4.nabble.com/file/n4122926/df1.xls df1.xls ), let's call it df1. I typed: df1<- read.xls("C:/... dir .../df1.xls",colNames= TRUE, rowNames= TRUE) Then I splited randomly df1 using splitdf function (http://gettinggeneticsdone.blogspot.com/2011/03/splitting- dataset-revisited-keeping.html)
2004 Sep 23
0
two internet connections don''t appear to be masqing
I have a script for dual internet connections that does this: ------------------------- #!/bin/bash IF1=eth1 IP1=203.219.190.106 P1=203.219.190.105 P1_NET=203.219.190.104 IF2=eth2 IP2=220.245.224.46 P2=220.245.224.45 P2_NET=220.245.224.44 IF0=eth0 P0_net=192.168.0.0 TABLE1=inet1 TABLE2=inet2 ip route add $P1_NET dev $IF1 src $IP1 table $TABLE1 ip route add default via $P1 table $TABLE1 ip
2020 Oct 23
0
How to shade area between lines in ggplot2
Hi Did you try google? I got several answers using your question e.g. https://stackoverflow.com/questions/54687321/fill-area-between-lines-using-g gplot-in-r Cheers Petr > -----Original Message----- > From: R-help <r-help-bounces at r-project.org> On Behalf Of Luigi Marongiu > Sent: Friday, October 23, 2020 9:59 AM > To: r-help <r-help at r-project.org> > Subject:
2012 Sep 27
1
Random Forest - Extract
Hello, I have two Random Forest (RF) related questions. 1. How do I view the classifications for the detail data of my training data (aka trainset) that I used to build the model? I know there is an object called predicted which I believe is a vector. To view the detail for my testset I use the below-bind the columns together. I was trying to do something similar for my trainset but
2011 Feb 27
2
regularized dfa rda (Klar): problems with predictions
Dear all, I am trying to do a n-fold cross-validation for a regularized discrimant function analysis using rda from the package klaR. However, I have problems to predict the groups from the test/validation sample. The exmaples of the R documantation and some online webpage also do not work. Does anybody know what I have done wrong? Here my code # I want to use the first 6 observations for
2012 Nov 20
3
data after write() is off by 1 ?
I am new to R, so I am sure I am making a simple mistake. I am including complete information in hopes someone can help me. Basically my data in R looks good, I write it to a file, and every value is off by 1. Here is my flow: > str(prediction) Factor w/ 10 levels "0","1","2","3",..: 3 1 10 10 4 8 1 4 1 4 ... - attr(*, "names")= chr