similar to: fdim questions

Dear R-helpers, I am looking for an implementation of the box-counting algorithm to estimate the box dimension of a cloud of points in 3D (aka fractal dimension, or similarity dimension). The package 'fdim' might be doing this, but the documentation is awful and I don't understand what is what there. Does anyone know of an implementation of this algorithm in R, or elsewhere, or

hi I am trying to use the add-on package fdim to calculate fractal dimesionality of some time series data. I keep getting an error - trying to run simple example from the help pages Error in if (MaxDiff > Chi2) { : missing value where logical needed when I set the debug option of the function slopeopt() I get the following read out... [1] "###############################" [1]

Hi, I?m new to R but I?m interested in using the fdim package to find the fractal dimension of a dataset. I downloaded the the package from https://cran.r-project.org/src/contrib/Archive/fdim/ and successfully installed it together with xgobi. However, when I try to run the first example, after df <- fdim(mydata,q=0,Alpha=0.3) I get the following error: Error in .C("pointdif",

Hm, I am not an expert in this field but trying to use obviously old package which was removed about 5 years ago from CRAN is asking for problems. There is probably some incompatibility between recent R version and obsolete package. You either 1. need to install/compile R version from 2012 and install/compile this old package for this version. 2. Or you could try to find some similar

Hello I am getting this Error in slopeopt(AllPoints, Alpha) : Object "LineP" not found when the dim(<data.frame>) of the data matrix for which the fdim is being calculated hits a certain values depending on the data set. e.g print(dim(mat)) fd <- fdim(mat,q=2) [1] 2743 2 [1] 2742 3 [1] 2741 4 [1] 2740 5 [1] 2739 6 [1] 2738 7 [1] 2737 8 [1] 2736 9 [1] 2735

Full_Name: Fred J. Version: 1.8.1 OS: windows 2000 Submission from: (NULL) (203.26.24.216) platform i386-pc-mingw32 the error can be duplicated as follows > rt <- data.frame(8:15, 7:14, 6:13, 5:12, 4:11, 3:10, 2:9, 1:8) > library(fdim) > FD <- (fdim(rt,q=2)) Error in slopeopt(AllPoints, Alpha) : Object "LineP" not found

Hello Does any one know what is the complexity scale of fdim "fractal calculation function", I need to find O(N) function to do fractal calculation. Thanks a lot

Hello, I have a problem that I think can be solved in R but I'm not sure how to tie things together. I have a digital image of a crystal growth in 2 dimensions. And my aim is to calculate the fractal dimension of the crystal. I was planning to use the box counting method. So I need to read in the image in R (for which I can use the pixmap or rimage packages) and then draw a grid over at a

I am running R 2.01 on Mac OS 10.3.7. Whenever I save graphs, they are saved as PDF files. Are there any other file formats to which I could save my graphs. I would like to directly export my graphs to MS Word, if possible. Thank you in advance. Sincerely, Jim Milks Graduate Student Environmental Sciences Ph.D. Program Wright State University 3640 Colonel Glenn Hwy Dayton, OH 45435

I need to create artificial datasets with specific correlation coefficients (i.e. a dataset that returns r = 0.30, etc.) as examples for a lab I am teaching this summer. Is there a way to do that in R? Thanks. Jim Milks Graduate Student Environmental Sciences Ph.D. Program 136 Biological Sciences Wright State University 3640 Colonel Glenn Hwy Dayton, OH 45435 [[alternative HTML version

I am attempting to fit a logistic regression plane to a 3-D scatterplot (which was generated using scatterplot3d). I've noticed that the help pages of scatterplot3d include a function titled "plane3d." However, when I attempt to use the function, I get the following message: Error: couldn't find function "plane3d" I've searched the archives and found no

Dear All, I have a rather unusual problem. I have a set of data for a class in subsurface processes. From that dataset, I must calculate the slope of the best-fit line (which is the parameter of interest). The problem I have is twofold: 1) for the purposes of the exercise, I must force my best-fit line to go through the origin (0,0), and 2) the line must be linear, even though the data is

I have a data frame with two columns, one of which is a factor (Species) and the other is numeric (BA, which stands for basal area). Here's a sample: Species BA ACSA 55.7632696 FRAM 122.9933524 ACSA 67.54424205 ACSA 89.22123136 ACSA 82.46680716 ACSA 22.46238747 ACSA 19.94911335 ACSA 20.42035225 ACSA 19.00663555 ACSA 21.67698931 ACSA 57.80530483 ACSA 30.31636911 Dead 43.98229715 Dead

Dear R Gurus, Let's get the technical details out of the way first: Computer: 1.83 GHz MacBook R version 2.5.1 I have a data set that contains the following variables: site, species, total.vines. I need to partition the main data set by site, the further select only those species that occurred at each site. When I select by site (site.name<-subset(data frame,Site=="Site

Dear all: I have a regression model that has collinearity problems (between three regressor variables). I need a F-test that will allow me to compare between full (with all variables) and partial models (minus 1=< variables). The general F-test formula I'm using is: F = {[SS(full model) - SS(reduced model)] / (#variables taken out)} / MSS(full model) Unfortunately, the ANOVA table

I have data on number of vines per tree for ~550 trees. Over half of the trees did not have any vines and the data is fairly skewed (median = 0, mean = 1.158, 3rd qu. = 1.000). I am attempting to investigate whether plot location (four sites), species (I'm using only the four most common species), or tree dbh has a significant influence on the number of vines per tree. When I

First the technical details: I'm running Mac OS 10.4.5, R 2.2.0, and just downloaded Ghostscript 8.50 to my Applications folder. My problem is this: after adding ## Ghostscript R_GSCMD=${RGSCMD='/usr/bin/gs'} to my Renviron file, as suggested in several posts on this problem contained in the archives, I still get Error in bitmap("acaldi.bmp", res = 100) : sorry,

Hi all, I figured out some things about an earlier question I posted today; this is a new question: I have a for-loop in which I have the following lines for (i in list.files(pattern = "*.dmp")) { currentfile <- read.table(i) vecrawrts <- as.vector(currentfile$V3) ... } Now, vecrawrts is numeric, but if I run the script on all the files with extension .dmp, I get the

Hi, I am experiencing something strange, and thought I would ask before reporting a bug. I trimmed it down to a self-contained example, attached as an R file. The purpose of the functions is to save the plots into a ps file and simultaneously plot them on an x11 device, but don't open a new one if there is already one opened (I don't want the repositioning / flicker). When running the

R gurus, I'm working on data analysis for a small project. My response variable is total vines per tree (median = 0, mean = 1.65, min = 0, max = 24). My predictors are two categorical variables (four sites and four species) and one continuous (tree diameter at breast height (DBH)). The main question I'm attempting to answer is whether or not the species identity of a tree has