similar to: the output of function lars

Dear Xapian users, I try to index some German text with Xapian using the xapian_php bindings. I run Apache 2.2 on Windows using PHP 5.2.13 with the pre build xapian bindings from Flax: Xapian Support enabled Xapian Compiled Version @PACKAGE_VERSION@ Xapian Linked Version 1.2.0 The problem is that after indexing text which contains special characters like ?, ?, ? and ?, using

Hi I am a newbie in R. I have data with dim of 20. How to use lm if i want to do regression with the whole design matrix? My y is the first column. the left are xs. Thanks a lot. -- View this message in context: http://r.789695.n4.nabble.com/how-to-do-linear-regression-when-dimension-is-high-tp3045167p3045167.html Sent from the R help mailing list archive at Nabble.com.

Hi Everyone, A quick question how to store a number like 12345 to a vector or array with size(1,5), like 1, 2, 3, 4, 5 So I can compare if the last three digits of this number is the same with some other numbers. Thanks a lot [[alternative HTML version deleted]]

I am attempting to use the lars package with a sparse input feature matrix, but the following fails: library(Matrix) library(lars) data(diabetes) attach(diabetes) x = as(as.matrix(as.data.frame(x)), 'dgCMatrix') lars(x, y, intercept = FALSE) Error in scale.default(x, FALSE, normx) : > > length of 'scale' must equal the number of columns of 'x' > > More

>>>>> Michael Chirico <michaelchirico4 at gmail.com> >>>>> on Tue, 27 Feb 2018 20:18:34 +0800 writes: Slightly amended 'Subject': (unimportant mistake: a dgeMatrix is *not* sparse) MM: modified to commented R code, slightly changed from your post: ## I am attempting to use the lars package with a sparse input feature matrix, ## but the following

Hi R users, I'm kind stuck in my R experience... I want to have a multiple barchart with n windows, but with the same background for each window, and I want that background to be a recorded dotplot. First, is it possible ? If so, I guess I have to call a record plot in the panel function but how ? As there is no panel.plot and I can't use the recorded plot as an argument for the

hi all why does the following not work??? this was someone elses code and i couldnt explain why it doesn't work. m=matrix(c(0,0),2,1) v=matrix(c(1,0,0,1),2,2) Y=function(X1,X2,mu=m,V=v) { X=matrix(c(X1,X2),2,1) a=(1/((2*pi)*sqrt(det(V))))*exp((-0.5)*(t(X-mu)%*%solve(V)%*%(X-mu))) a[1] } x1=seq(-1,1) x2=x1 Z=outer(x1,x2,FUN="Y",mu=m,V=v) persp(x1,x2,Z) my code:

Hello, I want to plot several lines to a main plot but at the end of each loop, it erases the last one. Here my program: alpha<-5 beta<-10 var<-0.5 s<-runif(1000,0,50) m<-length(s) variancealpha<-0.002 variancebeta<-0.051 variancevar<-0.001 alphachap<-vector() betachap<-vector() varchap<-vector() epsilon<-vector() b<-vector()

Hi, as an R-beginner, I have a recoding problem and hope you can help me: I am working on a SPSS dataset, which I loaded into R (load("C:/...) I have 2 existing Variables: "ID" and "X" , and one variable to be computed: meanX.dependID (=mean of X for all rows in which ID has the same value) ID = subject ID. Since it is a longitudinal dataset, there are repeated

Hello all, I'm new to R and trying to figure out how to perform calculations on a large dataset (300 000 datapoints). I have already made some code to do this but it is awfully slow. What I want to do is add a new column for each "rep_ " column where I have taken each value and divide it by the mean of all values where "PlateNo" is the same. My data is in the following

Hello R-helpers, I want to ask your opinion since I am not so sure how to do it. This is regarding one part of my paper project and my situation is: Stage I I have 2 groups and for each group I need to compute the following steps; i) Generate 3 random numbers from normal distribution and square them. ii) Repeat step 1 for 15 times and at the end I will get 15 random numbers. I already done

I want to implement the following algorithm in R: I want to split my data, use a t test to compare both means of the groups to see if they significantly differ from each other. If this is a yes (p < alpha) I want to split again (into 4 groups) and do the same procedure twice, and stop otherwise (here the problem arises). As a final result I would have different groups of data. I made some

Hello...i want to find the empirical rate for type 1 error using fixed trimmed mean. To make it easy, i'm referring to journal given by this website http://www.academicjournals.org/ajmcsr/PDF/pdf2011/Yusof%20et%20al.pdf. I already run the programme and there is no error in it but i got zero for the empirical rate of type 1 error. The empirical rate for the type 1 error given in the journal

What I want to do is create a horizontal bar chart matrix for a set of data that have a common set of variables (e.g., % of As, % of Bs, etc.) listed on the Y-axis and groups (e.g., Classes) on the X-axis. The key here is that the bars for each individual class plot are "centered" rather than left or right-justified. In archaeology plots similar to this are called battleship curves or

Hello, I haven't found errors in your code. I implemented the test in the paper (the first, fixed symetric mean) and it also gives me zero Type I errors, when alpha = 0.05. Try to see the value of min(pv) or to plot the histogram of 'pv', hist(pv) and you'll see that there are no significant p-values, at that level. Anyway I'll continue to look at it, but my first

Hi Experts, I am new to R, and was wondering how to do 3D linear regression in R. In other words, I need to Fit a 3-Dimensional Line to Data Points (input). I googled before posting this, and found that it is possible in Matlab and other commercial packages. For example, see the Matlab link:

Hello r helpers! Below is the whole coding for my programme. Before proceed more further, let me explain for you. First of all, I need to compute trimmed mean. Till that step is ok. Then I need to compute ssdw which is sum of square deviation. If I do equal trimming at both tail of distribution that I chose, I will use the first ssd formulae which is "a". But if I am doing unequal

The example below creates parallel time-series plots of three different y variables conditioned by a dichotomous factor. In the graphical layout, ? Each y variable inhabits its own row and is plotted on its own distinct scale. ? Each level of the factor has its own column, but within each row the scale is held constant across columns. ? The panels fit tightly (as they do

Hi, I am trying to use lars on my data. After getting the model and did the prediction, I compare the predicted value and the coefficients and it seems like there should be a constant term in the model. I have gone through the documentation of the lars package and I can't seem to find how to get this piece of information from the lars object. Can somebody help me? Thanks a lot! Mark

Hi, I am interested in a modification to LARS that allows for positive-only constraints in the variables (with details about how to implement this as described in section 3.4 of the Efron et al (2003) LARS paper). Before I dive into the "lars" package code myself, I was wondering if anyone knew of a version where this is available, or if another package that I have not found can do