similar to: R help

Is there a simple function in R to get a moving standard deviation (i.e. for the last x samples)? My goal is to plot bollinger bands around a moving average for price data. I use kernel smoothing for the moving average. cheers and thanks! over and out -- doktora

I got a sample data (let's call it sample.data), which is about 2200 by 15. I tried to take a look of all data >sample.data It shows only a part of data that I thought was a corner. It does not really affect my job, but I thought it is nice to have a look of all data. I can see individual records and they are fine. Is this normal because of buffer size or some reasons? Can I use other

Hi, I would like to get the coefficients of x^0, x^1, x^2, . , x^6 from expansion of (1+x+x^2)^3. The result should be 1, 3, 6, 7, 6, 3, 1; How can I calculate in R? You help will be greatly appreciated. Peter [[alternative HTML version deleted]]

Hello R users wiser than I - I am trying to produce a boxplot with quantiles defined by the type 6 algorithm used mainly by Minitab and SPSS for a comparison study. I found how to compare the results in tabular form using the quantile(x, type = 6) function, but am stuck on how to show the results in a summary boxplot form. Would someone be able the help with this situation? Many thanks, Matt

Hi, I would like to know whether there exist algorithms to compute the coefficients or, at least, the degree of the minimal polynomial of a square matrix A (over the field of complex numbers)? I don't know whether this would require symbolic computation. If not, has any of the algorithms been implemented in R? Thanks very much, Ravi. P.S. Just for the sake of completeness, a

Dear list readers, I want to: 1. Get a table of basic descriptive statistics for my variables with the variable names one below the other like SPSS descriptive statistics: Varname N Min Max Mean SD xxxx x x x x x xxx x x x x x .... 2. Delete some variables from a data frame or exclude variables from beeing analyzed. 3. Create a text file / redirect the terminal output to a

Hello, I am hoping someone can help me with the following multivariate issue: I have a model consisting of about 50 covariates. I would like to reduce this to about 5 covariate for the reduced model by combining cofactors that are strongly correlated. Is there a package or function that would help me with this in R? I appreciate any suggestions. Thanks, Ian

How can I extract K (number of parameters) from an AIC calculation, both to report K itself and to calculate AICc? I'm aware of the conversion from AIC -> AICc, where AICc = AIC + 2K(K+1)/(n-K-1), but not sure of how K is calculated or how to extract that value from either an AIC or logLik calculation. This is probably more of a basic statistics question than an R question, but I thank

Hello, can someone tell me how to extract a partial table from a multiway table? Something else: I tried to do basic operations on cross-tables, like subtracting two cross tables with same dimensions and i was unable to do so. Is there another way? thanks! __________________________________________________________

Hello, Brand new user of R that I want to interface with Windew (http://www.pcsoft.fr), I am looking for a detailed documentation of R(D)Com. Does anybody know where I can find it, or do you have any form of experience of the use of R with Windev? Thanks for your help. PS : As I am new to the group, people interested in some details about the requestor could find his resume at address

Greetings all, Is there a way to do the equivalent of a lmList (fit separate models for each subject) in the package nlme for a glm? Thank you very much, Peter B. [[alternative HTML version deleted]]

Hi Does R have a proceedure/software for capture recapture? Thank you. Lawrence Lessner Please respond to LLessner at nycap.rr.com

Hello, I have been asked to perform a exponential correlation on a data set. Unfortunately, i did not find any simple example on how to do that with R. If the correlation is significant, one asked me to also find the thresold of the acceleration slope. Have any of you a little example or a good link to get me started? Best regards Blaise -- Mutt, c'est de la balle, quand ??a marche :-)

Hello R people, I am need some help using the try() function. Currently I am running a loop which uses arima() for some values of p and q, which sometimes crashes. When it crashes, I want the program to just ignore it and move on to the next values to loop through. I currently have this, looping through a range of values for p and q: lo = try( arima1 <- arima( y, order=c( p, 0, q ) ) if(

Hi During using the R(vision 2.0.1), I meet a problem. I would like to do the Multiple Correspondence Analysis, but when I use the "< mca(lf, nf = 2, abbrev = FALSE)", the sentence "Error: couldn't find function 'mca'" will appear. So, please tell me how can I use the "mca()", thanks! Any help appreciated....

Hi! Can you help me? I would like to make a vector from p pre-determined vector. The parameter p can change. I've try with ?c with unsuccess! An idee? Sorry for my english! Thanks Fred

Dear R-helper, I would like to compare the AUC of two logistic regression models (same population). Is it possible with R ? Thank you Roman Rouzier [[alternative HTML version deleted]]

I am a partner at Assembla, a software services group that helps companies make use of open source techniques and software. We have been asked by a company in the financial services sector to provide support for their use of R, Rmetrics and possibly SciViews. I am trying to locate other companies in the financial services industry that might be interested in commercial support for R, Rmetrics

Dear R users! I used lme to fit a mixed model with random intercept and spatial Gaussian correlation i.e. I fitted a model of the following form: Y = X*beta + error and error = U + W(t) + Z where U is the random intercept (normally distributed), W(t) the stationary Gaussian process and Z also a normally distributed (the residual) rv. Each of these three random variables have a variance which

R: I need to minimize a function such that the parameters when used in another function result in a particular value, which i fix. That is, I need min(f(a,b)) given g(a,b)=X, where min(.) is the minimum, f(.) and g(.) are functions (with unknown gradients) of parameters a and b and X is a fixed value. What optimization function(s) in R do you suggest? constrOptim looks like it will work