similar to: Use of variables to reference to objects

Dear, I'm looking for some examples on OO programming in R. I have the programming manual with explanation on UseMethod and NextMethod but I miss some practical examples to get me going (I hope). I searched the web but could not find a good independent tutorial on this. Any suggestions are welcome, Kris -- ------------------------------------------------------------------------

Hi, I looked for the nls() function and couldn't find it. In the refman.pdf it's mentioned as part of the nls package which I cannot find and I also read something about the MASS package, also impossible to find for me. Kris -- ------------------------------------------------------------------------ http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=krisn

Dear, we have a problem with geoR. We try to read an ASCII table (x,y,z) with 40000 lines. With read.geodata we get the error: Error in vector("double", length) : cannot allocate vector of length 799980000 We can read the file without any problem with read.table, but trying to convert it to the geodata class gets the same error. Any help/tips would be appreciated. Kris, Dave --

Dear, We are trying to read an asciifile using the read.table() function and discovered that only 4 decimals are read. Any idea how to get more decimals? Kris -- ------------------------------------------------------------------------ http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=krisn ------------------------------------------------------------------------ Minds are

Hello all, I want to interpolate some data i prepared in GRASS, so I'm looking for what interpolation methods are available for R. In GRASS I can do Splines with tension and IDW. I'm looking for something like multiquadric equations. Is there any function/package available fo rthis? thanks all -- +-------------------------------------------------+ Carlos Henrique Grohmann de

Hi, I can't figure out how to get the P-values out of the summery of a logistic regression. I used: logit.out <- glm(...) and then I should be able to extract just the P values for the coefficients. Any idea? Kris -- ------------------------------------------------------------------------ http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=krisn

Dear, I have XYZ data available in a MySQL database. I get it out, can plot the data with the plot() function, load it into a geoR datastructure. But what I actually would like to do is a simple contouring of the data based on a no Kriging interpolation such as TIN based. I know the first thing I shold do is interpolate a full matrix for the region I have my points for, then contour should

Dear all, Is there a simple trick to read in data with the following format and create a Time Serie object of it? Date CountOfField2 5/10/1998 7 5/11/1998 5 5/12/1998 2 5/14/1998 1 5/15/1998 1 5/19/1998 1 5/20/1998 1 5/21/1998 1 5/24/1998 2 5/25/1998 1 5/26/1998 2 .... 2002 ... R should recognize that some dates are not available...(NA). You can define start and end date Ok, and frequency= 365

Dear R users, I have spectral data (say, wavelength vs. extinction coefficient) for which I??d like to calculate an integral (i.e. the area underneath the curve). Suppose the (artificial) dataset is lambda E 1 2 2 4 3 5 4 8 5 1 6 5 7 4 8 9 9 8 10 2 How can I calculate an integral for these values using R? Many thanks for any help! Regards Christoph

Dear, Thanks for the previous tips about 'its' for importing the following data. 5/10/1998,7 5/11/1998,5 5/12/1998,2 5/14/1998,1 5/15/1998,1 5/19/1998,1 5/20/1998,1 1. When using the following command; test<-readcsvIts('Fires98.csv',informat=its.format("%m/%d/%Y"),header=FA LSE) the function reads in the data from the csv file as; V2 05/10/1998 7

All, I am working with NIR spectral data and it was great to find that the example in ?plsr also used spectral data. Unfortunately, I am having difficulty figuring out how the "yarn" dataset is structured to allow for the plsr model to read: library(pls) data(yard) yarn.oscorespls <- mvr(density ~ NIR, 6, data = yarn, validation = "CV", method = "oscorespls")

Dear collegues, I´ ve worked with near infrared (NIR) spectroscopy to assess chemical, physical, mechanical and anatomical properties of wood. I use "The Unscrambler" software to correlate the matrix of dependent variables (Y) with the matrix of spectral data (X) and I would like to migrate to R. The matrix of spectral variables is very large (2345 columns and n lines, where n =

Dear list, I've recently become interested in comparing the spectral estimates using the different methods ("pgram" and "ar") in the spectrum() function in the stats package. With many thanks to the authors of these complicated functions, I would like to point out what looks to me like a bit of an inconsistency -- but I would not be surprised if there is good reasoning

Hello all, Before getting to my question, I would like to apologize for asking this question here. My question is not directly an R question, however, I still find the topic relevant to R community of users - especially due to only * partial* (current) support for interactive data visualization (see here: http://cran.r-project.org/web/views/Graphics.html were with iplots we are waiting for

Hi R-Helpers, I'm dealing with the STL procedure and trying to apply the tsdiag and StructTS onto the ts object to analyse the different parameters which need to be set. How can I use the tsStructure & tsdiag to create a seasonal, trend and cycle subseries plot so that I can select & analyse the correct np,ns, nt and nl? The problem is that too much signal goes into the seasonal

Hi I'm trying to write a generic script for processing some data which finishes off with some plots. Given Im never sure how many columns will be in my dataframe I wanted to using the following plot(spectra.wavelength, cormat, type = "l", ylim=c(-1,1), xlab="Wavelength (nm)", ylab="Correlation") however even if I specify as type="l" it appears plot

Dear R users, I am a newbie. Just switched from MATLAB. So thanks a lot for your patience. I have 50000 spectra collected in field. Each spectra has two columns : Wavelength (56) and the actual measurement. Each measurement came in a different .txt file on disk (50000 files in total). I wrote a script that reads every spectra in a for loop and constructs two variables : Wavelength (56) and

Hello I have a Grandstream GXP2000 with latest firmware. When I use it holding the handpiece I don't hear any echo - neither does other end. However, if I use it handsfree, the other end notices echo when they speak - ie their voice is echoy. I hear their voice being a bit echoy. Is this purely down to the IP Phone? Is there anything I can do about it? I considered buying a more

Dear R Helpers, Currently I'm working with the ts package of R and created a TimeSerie from pixels extracted from satellite imagery(S10 NDVI data, 10 daily composites). I'm trying to decompose this signal in different signals (seasonal and trend). When testing out the STL method is says => Only univariate timeseries are allowed, but the current Timeserie I'm using is univariate!

Hi, I have some difficulty in figuring out whether I am doing correct or not. A brief introduction about the work: It is a light/dark choice test conducted in insect larvae.  The response is binary (0- present in dark area, 1-present in light area) and the experiment is run for 15 min, so there are 15 repeated measurements per individual larva at 1 min intervals.  The factors which affect