similar to: package pls

Dear R People: I'm having trouble with something that should be very simple. I'm setting up a matrix outside of a loop and writing items into it during the loop. Here is the output: > glob3b("sites.info") dim 27 3 [1] "/raid1/osg-app" Error in xy[i, ] : incorrect number of dimensions Here is the function: > glob3b function(xx) { x.df <-

A young colleague (Matthew Keller) who is an ardent fan of R is teaching me much about R and discussions surrounding its use. He recently showed me some of the sometimes heated discussions about Type I and Type III errors that have taken place over the years on this listserve. I'm presumptive enough to believe I might add a little clarity. I write this from the perspective of someone old

Folks, Normally, in a data frame, one observation counts as one observation of the distribution. Thus one can easily produce a CDF and (in Splus atleast) use cdf.compare to compare the CDF (BTW: what is the R equivalent of the SPlus cdf.compare() function, if any?) However, if each point should not count equally, how can I weight the points before comparing the distributions? I was thinking of

Hi Duncan I tried Ecdf and/or wtd.quantile from Hmisc and it is working (probably). Ecdf(x, q=.5) Ecdf(x, weights=xw,col=2, add=T, q=.5) wtd.quantile(x) 0% 25% 50% 75% 100% 10 10 10 100 300 wtd.quantile(x, weights=xw, type="i/n") 0% 25% 50% 75% 100% 10.0000 138.8667 192.5778 246.2889 300.0000 But could you please be more specific in this? >

Hi Petr, I think that Duncan suggests something like this: x<- c(rep(10,20), rep(300,5), rep(100, 10)) tx <- table(x) prop.x <- tx / sum(tx) vx <- as.integer(names(tx)) prop.wx <- tx * vx / sum(tx * vx) plot(ecdf(x)) plot(vx, cumsum(prop.x), ylim = 0:1) plot(vx, cumsum(prop.wx), ylim = 0:1) Best regards, Thierry ir. Thierry Onkelinx Statisticus / Statistician Vlaamse

def cas casses = [@cas.ss,@cas.s,@cas.xl,@cas.l,@cas.m,@cas.w,@cas.xw] casses.each do |cas| if cas >= 10 @user.send(cas) -= 1 @user.save! end end my error: app/controllers/battle_controller.rb:383: parse error, unexpected tOP_ASGN, expecting kEND @user.send(cas) -= 1 ^ app/controllers/battle_controller.rb:388: parse error, unexpected $, expecting kEND -- Posted via

Dear all: I am comparing the PLS outputs of R and SAS for the following data set: Y x1 x2 x3 3 6 2 2 3 1 5 5 4 7 4 1 5 6 5 6 2 4 3 2 8 5 0 9 where Y is the dependent variable and x1, x2, x3 are the independent variables. I found several PLS algorithms in R (NIPALS,SIMPLS,KERNEL PLS). SAS has SIMPLS and NIPALS. The following are the NIPALS calculations of

Hi all, I made this array: @army_types = ["ss","s","xl","l","m","w","xw"] but, I want to be able to go like this @army_types.each do |st| @user.st end but, I get the error that "@user.st" st is not a valid feild for the table user. Is there a way to get around MySQL running it first? -- Posted via

Ok so I''m trying to make a little exchange 3 for 1 of 1 higher rank here is the code in the controller: def exch_link @id = @session[:user].id @type = @params[:type] exch(@id,@type) end def exch(user_id,this_type) @user = User.find(:condtions => "id = " + user_id) @ranks =

Dear list I am using the mvr function of the package pls.pcr to compute PLS resgression using a X matrix of gene expression variables and a Y matrix of medical varaibles. I would like to obtain the R2 (sum of squares captured by the model) and Q2 (proportion of total sum of squares captured in leave-one-out cross validation) of the model. I am not sure if there are specific slots in the

Yeah, I have its datasheet (it's a Xantrex XW invertor by the way). I do not know why creating a more-or-less generic driver is an issue. Of course, there are Modbus beasts that can scare everyone but mostly one would need to read either intreger or float numbers out of Modbus registers in order to decide whether or not to start or stop the shutdown process. 24 ???? 2017 ?. 19:25:14

dear all, I am a new comer to R and statistic. Now I have a little confuse about the package pls. I have to use 5 components to form a model. There are strong relationship between some of the components, which leads to the changes of the sign of each coeficeince, of course this is unwanted when using the normal regression way. So I choose the way of PLS, which is good at solve this kind of

Here are my patches to add edge + button functionality. I still feel that there is a problem with gconf, but I have just made it so that the edge button functionality works. I have included a patch for gconf to display AnyButton if it is set to 0. There is also a patch to make the edge size configurable because 1 pixel was too small and the mouse keeps slipping off when using it for the

Hi R Users, Thanks in advance. I am using R-2.5.1 on Windows XP. I am trying to call C code (testCX1.C) from R. testCX1.c calls another C code (funcC1.c) and returning a value to testCX1.c. I like to have this value in R. My steps are below: 1. R CMD SHLIB testCX1.c funcC1.c (at command propmt) 2. It creates testCX1.dll with warning (but testCX1.dll works):

On 24/11/2017 6:27 AM, PIKAL Petr wrote: > Dear all > > Strictly speaking it is not R question but as you are the most capable persons I know I give it a try. > > I am strugling with recalculation of number weighted to volume weighted distribution. > > Suppose I have objects (cubes) with size > > x<- c(rep(10,20), rep(100, 10), rep(300,5)) > I can get >

Hey I just ran this "ruby script/generate login loging_in" here is my SQL: CREATE TABLE `users` ( `id` int(11) NOT NULL auto_increment, `user_name` varchar(80) default NULL, `login` varchar(120) NOT NULL default '''', `last_update` timestamp NOT NULL default ''0000-00-00 00:00:00'', `last_attack` timestamp NOT NULL default ''0000-00-00

Hello! I need help to use the package pls.pcr in R. I installed R in an IRIX 6.5, using the version of R 0.64.1 from sgifreeware(I didn't get to install the newest version using make). I need to use the package pls.pcr and when I give the command: # R R : Copyright 1999, The R Development Core Team Version 0.64.1 (May 8, 1999) R is free software and comes with ABSOLUTELY NO

Version 1.1-0 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and summary - Functions

Version 1.1-0 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and summary - Functions

Version 1.2-0 of the pls package is now available on CRAN. The pls package implements partial least squares regression (PLSR) and principal component regression (PCR). Features of the package include - Several plsr algorithms: orthogonal scores, kernel pls and simpls - Flexible cross-validation - A formula interface, with traditional methods like predict, coef, plot and summary - Functions