similar to: avas and ace

Hi, I wanted to make a transformation with "avas" and "ace" but saw a message " couldn't find function "avas" " what are the possibble reasons of this case? It may be a basic question but unfortunately I am very new in R. Thanks for your helps Regards [[alternative HTML version deleted]]

I am using ACE/AVAS to fit a non-parametric regression model to a multivariate data set. Is there a way to add confidence intervals to the fit and predictions by using bootstrap? Thanks for any suggestions. [[alternative HTML version deleted]]

Hello, I would like to perform a monotone transformation of y (my response variable) to achieve additivity. My model is as follows y~X+items I do not want to transform X or items (both of these variables are factors) > X [1] 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 6 7 7 7 7 7 7 [61] 7 7 7 8 8 8 8 8 8 8 8 8 Levels: 1 2 3 4 5

Hello R helpers! I'm using the avas function form package acepack (called from areg.boot package Hmisc) to estimate automatically transformations of predictors (in this case monotonous) and response. Well, it seems to work quite well, but I have 3 basic questions: - which set of basis functions is used in this procedure? - how do I back transform my estimate (y hat ) to the originasl scale?

In platform i386-pc-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 1 minor 7.1 year 2003 month 06 day 16 language R using debian testing (latest Knoppix) I get an error when installing acepack: gcc

Hello! I have a problem which I have tried to solve for several days now.. I have plottet a lineplot.CI in the library "sciplot", and I am trying to plot it with a logaritmic y-axis (with exponential base). The problem is that; when I type "log "y"", the axis transforms into the logaritmic of base 10. I wonder if someeone could tell me how to specify that I would

I've put all ``current'' add-on packages into CRAN's source/contrib tree and created an INDEX file (attached below). As you can see, currently we have acepack bootstrap ctest date e1071 fracdiff gee jpn snns splines survival4 (Yes, e1071 and jpn are new ... more on the latter in a later mail.) In the near future, I am hoping for the following: oz (Bill

Hello! Thank you for answering! What I am trying to do is to plot my raw values (biomass of different species) on a logaritmic y-axis with the base of e. When I type "log="y"", the axis transforms into a logaritmic axis with the base of 10. Best regards, Elisabeth > Dear Elisabeth, > > I'm not sure if I have understood your question -- are you trying > to

To whom should bug reports of the R port of acepack be directed? On a SPARC/Solaris 2.6 or 2.7 (SunOS 5.6 or 5.7) system running R-1.0.0 the avas example fails > library(acepack) > example(avas) avas> TWOPI <- 8 * atan(1) avas> x <- runif(200, 0, TWOPI) avas> y <- exp(sin(x) + rnorm(200)/2) avas> a <- avas(x, y) Process R bus error (core dumped) at Mon

Dear all, I have a problem installing a package required by Hmisc on MacOS 10.3.5 with R 2.00. g77 -fno-common -g -O2 -c avas.f -o avas.o g77 -fno-common -g -O2 -c rlsmo.f -o rlsmo.o gcc -bundle -flat_namespace -undefined suppress -L/usr/local/lib -o acepack.so ace.o avas.o rlsmo.o -L/usr/local/lib -L/usr/local/lib/gcc/powerpc-apple-darwin6.8/3.4.2

So I am designing a railsapp that indexes school organizations such as clubs and frats/sororities. I have decided to represent this as a graph, and that each entity is going to be just represented as a node, and the relationship between each node is going to be an edge. so basically, a frat such as "Alpha Beta Gamma" is represented as a node, and its chapters also as seperate nodes,

>I am trying to use the Hmisc function transace to transform predictors > > test<-cbind(flowstress,pressres,alloy) > xtrans<-transace(x,binary=pressres',monotonic='flowstress', categorical='alloy') > > >and I am getting the following message?? >Error in ace(x[, -i], x[, i], monotone = im, categorical = ic) : > unused argument(s) (monotone ...)

Hello Ted! Thank you a lot for your reply!!! I will try to explain again; what I want is a logarithmic scaled y-axis with the base of e (not 10). And the values I would like to use in the plot are the raw values (not transformed in any way). Do you still think that the base of log does not matter in this case (wheather it is e or 10 as a base)? Elisabeth > On 09-May-10 18:10:27, Elisabeth

Hi, I am working on a multivariate linear regression of the form y = Ax. I am seeing a great dispersion of y w.r.t x. For example, the correlations between y and x are very small, even after using some typical transformations like log, power. I tried with simple linear regression, robust regression and ace and avas package in R (or splus). I didn't see an improvement in the fit and

I have an hp9000/c160 with hpux10.20+gcc2.7.2. When I try the example in the ace help I get: > library(acepack) > ?ace > TWOPI <- 8*atan(1) > x <- runif(200,0,TWOPI) y <- exp(sin(x)+rnorm(200)/2) a <- avas(x,y) /usr/lib/dld.sl: Unresolved symbol: pow_dd (code) from /home/buyuk/R-0.50-a1/lib/acepack.so ABORT instruction (core dumped)

Given this example mean.values<-colMeans(VADeaths) mean.values<-apply(VADeaths, 2, mean) median.values<-apply(VADeaths, 2, median) dotchart(VADeaths, gdata=mean.values) dotchart(VADeaths, gdata=median.values) is it possible to ?combine? a single dotchart showing both the mean and the median for each single group (with different plotting symbols)? ?is it that possible with the use of

Hi, from what you're writing: "The logaritmic transformation "shapiro.test(log10(y))" says: W=0.9773, p-value= 2.512e-05." it seems the log-values are not distributed normally and so original data are not distributed like a log-normal: the p-value is extremally small! Other tests for normality are available in package: nortest compare the log-transformation of your ecdf

Hi Folks, Mac OS 10.4.4 R 2.2.1(2005-12-20 r36812) Hmisc 3.0-10 acepack 1.3-2.2 I had R crashes while running areg.boot in Hmisc (see old message below), but now I realize that the problem appears to be in the avas function in acepack. I tried running running the avas example (in acepack package), and got an immediate crash. Any thoughts? The Apple crash report (from R GUI crash) follows.

Hi, I have processed measurements of a rough surface to a heigh-height correlation plot. What the meaning of this exactly is, is not important. Only that it is a plot that had two (almost ) linear parts when plotted on a logaritmic scale. In this plot, I want to draw the best fitting lines for these linear parts but I just can't get it done. It is easy when the scales are linear but as you

This seems to be a recurrent topic, but I don't remember hearing a definitive answer. I also apologies for cross-posting. Say I have a numerical response variable and a bunch of multi-level factors I want to use for modeling. I don't expect factor interaction to be important so there will be no interactions in the model. All this would be a perfect job for ANOVA except for one additional