similar to: Relative strength of regression predictors (relaimpo vs. relimp)

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 at least of any ideas on that - especially for plm? 2)

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 3 measurement points (0,6,12 weeks), I want to perform a similar

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.landcover_gb"

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 looks fine to me. Pardon my R ignorance if this is an easy

Dear developeRs, with R 2.4.1 (and also 2.4.0), the function 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

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.

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 Public Health Faculty of Health Sciences University of Pretoria Room

Hei Group, I want to compare the relative importance of predictors in a multiple linear regression y~a+bx1+cx2... 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

I am trying to use Rcmdr 1.5_4 with R-2.11.1 (order to run to run the new version of misdist-0.5.3 which is built under R-2.11.1). however relimp is required for Rcmdr and the version of relimp_1.0.1 downloaded from CRAN will not work with the latest version of Rcmdr (I get error message telling me to reload it). Is there any way round this problem or will there be a new version relimp that is

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 [[alternative HTML version deleted]]

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:

Hi, i'm newbie for this, but it's very interesting, but how i have to interpret the results if i get i.e. this results ? Is it correct - if the "Ratio of effect sd" is positiv than the Numerator effects are bigger , and the negative case vice-versa ? Ratio of effect standard deviations: 0.954 Log(sd ratio): -0.047 (se 0.828) Approximate 95% confidence

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

Dear developers I get some strange crashes when 'cairoDevice' and 'tcltk' are both loaded in the same R vanilla session. When executing the following in that order require(relimp) require(cairoDevice) showData (iris) I get a crash with the following message (see R-relimp-cairoDevice.txt): The program 'R' received an X Window System error. This probably reflects a bug in

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

I have a large dataset (questionnaire results) of mostly categorical variables. I have tested for dependency between the variables using chi-square test. There are an incomprehensible number of dependencies. I used the chaid() function in the CHAID package to detect interactions and separate out (what I hope to be) the underlying structure of these dependencies for each variable. What typically

Hello, I just tried to get Rcmdr package working, resulting in: ---------------------------------------------------------------------- > library(Rcmdr) Loading required package: tcltk Loading required package: lattice Loading required package: foreign Loading required package: abind Loading required package: lmtest Loading required package: multcomp Loading required package: relimp Loading

Everyone, I know that this has been discussed a few times on the list, but I think that there is a high false positive rate of messages from findGlobals during R CMD check (I know the help page has that "The result is an approximation"). Here are two examples of from the caret package: This function get the message "predictors.gbm: no visible binding for global variable

I am setting up a new Ubuntu lucid system on a Dell Precision T3500, quad core, E5507, x86_64 box and am having some difficulty updating r-cran packages as per the instructions at http://cran.us.r-project.org/bin/linux/ubuntu Perhaps the instructions are incomplete or wrong, or I've misunderstood something, and/or I've run into a dependency problem among r-cran- packages, vcd in

Context: Windows XP - R 2.0.1 with the latest updated packages (including Rcmdr) I'm trying to load Rcmdr to use the 3d plots (e.g. scatter3d) but here it is what happens: > library(Rcmdr) Loading required package: zoo Loading required package: strucchange Loading required package: sandwich Loading required package: relimp Loading required package: mvtnorm Loading required package: