similar to: how many records for suitable regression

Hi, I am trying use lm() on some data, the code works fine but I would like to use a more efficient way to do this. The data looks like this (the data is very sparse with a few 1s, -1s and the rest 0s): > head(adj0708) MARGIN Poss P235 P247 P703 P218 P430 P489 P83 P307 P337.... 1 64.28571 29 0 0 0 0 0 0 0 0 0 0 0 0 0 2 -100.00000 6 0 0

Dear Community, I've a Work -Shift Scheduling Problem I'd like to solve via constraint linear programming. Maybe something similar to http://support.sas.com/documentation/cdl/en/orcpug/63349/HTML/default/viewer.htm#orcpug_clp_sect037.htm Can anybody suggest me any package/R examples to solve this? If it's needed more details of my little problemm I can provide. Thanks in

Dear community, I've plotted data and coloured depending on the factor variable v3. In the legend, I'd like to assign properly the same colors than in the factor (the factor has 5 levels). I've been trying this but it doesn't work. plot(var1, var2, xlab = "var1", ylab = "var2", col =var3 , bty='L') legend(locator(1),c("level 1 var3",

Dear community, Apologies, I'm still pretty newbie. Anyway, I am performing linar regression analysis. As a common cause of non-normally distributed residuals is non-normally predictor variables, i'm interested in achieving the best transformation of the predictors. I've seen some commands at R, but I would like to know if it exists a command equivalent to gladder (graphic display)

Dear Community, I want to identify outliers in my data. I don't know how to use identify command in the plots obtained. I've gone through help files and use mahalanobis example for my purpose: NormalMultivarianteComparefunc <- function(x) { Sx <- cov(x) D2 <- mahalanobis(x, colMeans(x), Sx) plot(density(D2, bw=.5), main="Squared Mahalanobis distances, n=nrow(x),

Dear all, I've tried a multiple regression, and now I want to try a cross-validation. I obtain this error (it must be sth related to df) that I don't understand, any help would be appreciated. cv.lm(df= dat, lm2.52f, m=3) Error en `[.data.frame`(df, , ynam) : undefined columns selected lm2.52f is my lm object, dat is a dataframe where the variables involved in .lm are I tried CVlm

Dear community, I've a tree which included at first 23 variables. Then I've pruned this tree, and there are only 8 variables involved. I'd like to predict and only introduce in newdata the values of these 8 variables involved. However, as the tree was built with the 23, it asked me for 15 values, even if it doesn't need them. Is there a way to introduce only this 8 values?

Dear community, I'd like to fix a mixed model. I have unbalance data, what should i use: lme in nlme package , or lmer in lme4. Thanks, user at host.com as user at host.com -- View this message in context: http://r.789695.n4.nabble.com/lme-or-lmer-for-unbalance-data-tp4608425.html Sent from the R help mailing list archive at Nabble.com.

Dear Community, I'd like to plot an rq object the same way I do with a lm one, is it possible? Something like this plot(rqmodel , 1:4, id.labels=rownames(pga1)); where rqmodel <- rq(log(vd) ~ v1 + log(v2) +log(v3) + v4 + v5 ,data =dat) Thanks in advance and apologies, I'm pretty newbie with this, user at host.com -- View this message in context:

Before loading sql packages, i was wondering, once all packages required are installed, if it's possible to do from R console sth like this: SQL> select v1 from sql_table where v2 in ("R_variable") # being "R_variable" a vector Thanks in advance, user at host.com -- View this message in context:

Dear community, I'm having this silly problem. I've a linear model. After fixing it, I wanted to know which data had studentized residuals larger than 3, so i tried this: d1 <- cooks.distance(lmmodel) r <- sqrt(abs(rstandard(lmmodel))) rstu <- abs(rstudent(lmmodel)) a <- cbind( mydata, d1, r,rstu) alargerthan3 <- a[rstu >3, ] And suddenly a[rstu >3, ] has

Does opensolaris iSCSI target support SCSI-3 PGR reservation ? My goal is to use the iSCSI LUN created by [1] or [2] as a quorum device for a 3-node suncluster. [1] zfs set shareiscsi=on <storage-pool/zfs volume name> [2] iscsitadm create target ..... Thanks, -- leon This message posted from opensolaris.org

I assume that a zvol has a vtoc. What tags are supported? Thanks, Brian -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://mail.opensolaris.org/pipermail/zfs-discuss/attachments/20070427/57e1a64f/attachment.html>

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)

Dear all, I am wondering why the step() procedure in R has the description 'Select a formula-based model by AIC'. I have been using Stata and SPSS and neither package made any reference to AIC in its stepwise procedure, and I read from an earlier R-Help post that step() is really the 'usual' way for doing stepwise (R Help post from Prof Ripley, Fri, 2 Apr 1999 05:06:03

Greetings, I'd be grateful if a good Samaritan helps me to approach this problem.... with my data, I've created the following model lm(formula = OUTCOME ~ VAR1 + VAR2) summary(model) Call: lm(formula = OUTCOME ~ VAR1 + VAR2) Residuals: Min 1Q Median 3Q Max -1.4341 -0.3621 0.1879 0.4994 0.7696 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.89020

Hallo , when I try to change user password on samba server i become this error : error connecting to 127.0.0.1:139 (Verbindungsaufbau abgelehnt) unable to connect to SMB server on machine 127.0.0.1. Error was : code 0. Failed to change password for bukhari if any someone I have an Idea please send me an E-Mail to "ufz6@rz.uni-karlsruhe.de" Thanks to All Amir Bukhari

We have some HDS storage that isn''t supported by mpxio, so we have to use veritas dmp to get multipathing. Whats the recommended way to use DMP storage with ZFS. I want to use DMP but get at the multipathed virtual luns at as low a level as possible to avoid using vxvm as much as possible. I figure theres no point in having overhead from 2 volume manages if we can avoid it. Has anyone

Hi List, Does anybody know what function I need to use for a simple regression? Here is the data: I want to find the value for x1=3.5 data<-data.frame(x=c(1:30),Value=c(31:60)) x1<-3.5 Regards, Alireza [[alternative HTML version deleted]]

Hi, Please apologize if my questions sounds somewhat 'stupid' to the trained and experienced statisticians of you. Also I am not sure if I used all terms correctly, if not then corrections are welcome. I have asked myself the following question regarding bootstrapping in regression: Say for whatever reason one does not want to take the p-values for regression coefficients from the