search for: relaimpo

I'm having trouble getting the relaimpo package to use a covariance matrix as input. I'm getting an error message that reads as follows: Error in eval(m$weights, data, parent.frame()) : numeric 'envir' arg not of length one I'm guessing there is something wrong with the structure of my covariance matrix, but it look...

Dear all, I am stuck with tracking down an error I get from R CMD check (Windows, R 2.4.0, same error for R 2.2.1): when running R CMD check over a modified version of package relaimpo, I get the following output in install.out: preparing package relaimpo for lazy loading Loading required package: MASS Loading required package: boot Error in parse(file, n, text, prompt) : syntax error at 2193: } 2194: Error: unable to load R code in package 'relaimpo' Execution halted...

...... However, bptest indicates heteroskedasticity of my model. I therefore perform a robust regression (rlm), in combination with bootstrapping (as outlined in J. Fox, Bootstrapping Regression Models). Now I want to compare the relative importance of my predictors. Can I rely on the output of 'relaimpo' here? (which takes 'lm', not 'rlm' objects). Thanks, Robert ---------------------------------------------------------------------------------------------------------------------- NIVAs hovedkontor har flyttet til nye lokaler i CIENS - Forskningssenter for milj? og samfunn;...

I am currently using the relaimpo package to estimate the relative importance of regressors (N= 4000): > m1 <- lm(y ~ x1+x2+x3+x4+x5+, data=data) > calc.relimp(m1, rela=TRUE) > m2=boot.relimp(m1, boot = 500, rela=TRUE, type="lmg") > booteval.relimp(m2) > plot(booteval.relimp(m2)) In a new dataset with...

...s (that differ from each other drastically in mean), controlling for age and sex. N=6000. m1 <- lm(totWAS ~ 1234x+s5+q6789x+s10+s11+s12+s13+s14+q1516x+ sex+age, data=D) Now I want to find out about relative strengths. Standardized coefficients differ in the profile from results obtained by the relaimpo and the relimp packages, the largest differences exist for the variable age (which is the only variable I standardized; the standardized beta is very large compared to the other risk factors, but the relative importance packages show that is nearly has any importance). Questions: (1) What can lead...

Hi, I have a question related to the function "boot.relimp" (package relaimpo). I have a model with numerical predictors and one dummy (class) variable. I would like to calculate the relative importance of the predictors but I have some problems with the dummy variable. The name of the linear model is "lmbroadst.lc" and the dummy variable is "datacon.landcov...

Hello, Does anyone know if relaimpo only applies to "pure" multiple linear regression models, i.e. - linear in the variables AND linear in the coefficients or is it safe to use it in models that are: - non-linear in the variables BUT linear in the coefficients? Thanks Jyotin [[al...

Dear R-developers, I'm experiencing a problem with having an example run under R 2.6.1 RC (downloaded and installed today, r43513), which does not occur on R 2.6.0: The new version of package relaimpo does list package survey under "Depends", and an example directly (i.e. not only from within a function of relaimpo) uses function svydesign from package survey. Package survey is installed and available when working from within the new R-installation. However, under R CMD check, the exam...

Dears, Unfortunatelly, the packages relaimpo and relimp do not seem to work with plm function (plm package) or gls function (in nlm package). I've been studying on how to adapt one of them for this pourpose. In that sense, I have two questions regarding to this work: 1) have anyone hard of any workaround for those incompatibilities, or a...

...tion str() fails on objects of class relimplmbooteval, if there are unused slots, which is very often the case. I am not sure whether this is a bug in str() or a correct behavior of str() that unmasks some sloppiness in my usage of S4 classes (that I am not aware of)? Reproducible example (package relaimpo needed): The program require(relaimpo) bte<-booteval.relimp(boot.relimp(swiss,b=100)) str(bte) yields the error message Errorr in FUN(c("lmg.lower", "lmg.upper", "lmg.rank.lower", "lmg.rank.upper", : no slot named "pmvd.lower" for...

Is there a painless way to find the names of all packages on CRAN that "Depend" on a specified package? url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu Department of Economics vox: 217-333-4558 University of Illinois fax: 217-244-6678 Champaign, IL 61820

Dear all , Is there any subset regression (subset selection regression) package in R other than "leaps"? Thanks and regards Alex [[alternative HTML version deleted]]

...h package rpart and is the preferred analyses due to ease of interpretation. The response variable was untransformed and the distribution chosen Poisson. Result was a tree with immediately increasing error (cp) which picked 0 splits as the best tree. (2) Multiple regression Tried using package relaimpo to obtain a classification on the importance of explanatory variables. Used different transformations to analyze residuals and in all cases obtained a weird looking set of residuals with a portion normally distributed and another portion clustered to the side, giving the whole graph a clear trend (...

Dear userRs, Version 2.0 of package relaimpo is on CRAN (and on my homepage with an additional metric for non-US users). It contains several major improvements: - usage of factors - incorporation of interactions (for metric lmg only) - incorporation of observation weights - application to data from complex surveys - processing of multiply im...

Hi, I would like to perform a forward selection procedure on a data set with 6 observations and 10 predictors. I tried to run it with regsubsets (I set nvmax=number of observations) but I keep getting these warning messages: Warning messages: 1: 5 linear dependencies found in: leaps.setup(x, y, wt = weights, nbest = nbest, nvmax = nvmax, 2: nvmax reduced to 5 in: leaps.setup(x, y, wt =

Dear All: I am calculating the relative importance of a regressor in a linear model. Does anyone know how I can obtain/install the 'pmvd' computation type? I am a US user. Regards, Y -- View this message in context: http://r.789695.n4.nabble.com/calc-relimp-pmvd-for-US-R-user-tp3808752p3808752.html Sent from the R help mailing list archive at Nabble.com.

Hello, I would like to know what it means, when the hier.part's output has a data frame of a negative independent contribution for variables (?IJ) and how this can be caused. Thank you very much. Yours sincerely M. Heuner

I have installed the latest relaimpo library ( form their website with the 8 functions) When running pvmd as a type in c=type("pmvd") in calc.relimp I get the error message ...could not find function "pmvdcalc" (this is in R version 2.12.1) Can anyone help? Paul Prof P Rheeder School of Health Systems and Publi...

1) Packages to be used- For smaller datasets use these 1. CAR Package http://cran.r-project.org/web/packages/car/index.html 2. GVLMA Package http://cran.r-project.org/web/packages/gvlma/index.html 3. ROCR Package http://rocr.bioinf.mpi-sb.mpg.de/ 4. Relaimpo Package 5. DAAG package 6. MASS package 7. Bootstrap package 8. Leaps package Also see http://cran.r-project.org/web/packages/rms/index.html or RMS package rms works with almost any regression model, but it was especially written to work with binary or ordinal logistic regression, Co...

I'm in the process of converting some S3 methods to S4 methods. I have this function : setGeneric("enrichmentCalc", function(rs, organism, seqLen, ...){standardGeneric("enrichmentCalc")}) setMethod("enrichmentCalc", c("GenomeDataList", "BSgenome"), function(rs, organism, seqLen, ...) { ... ... ... })