similar to: postscript error

If I have several character vectors, for example: a_c('data.') b_c('_myfunction(') c_c('vect.') d_c(')') and, j_1 I can build a vector using paste: x_paste(a,j,b,c,j,d,sep="") x="data.1_myfunction(vect.1)" I have n numeric vectors (vect.1...vect.n) Then, if I could evaluate the string x, I would calculate the result of my function in

The library wavethresh performs 1-d and 2-d wavelet statistics and transforms. You can find it in the package sources in http://cran.r-project.org. Hope this helps. -- ============================================================== Alvaro Colina |-|o||o||o||o||o||o||o||o||o|- Area de Quimica Analitica | Pza. Misael Banuelos s/n Facultad de Ciencias | 09001. Burgos. Spain Universidad de

Hi! I am using R1.5.0. When using functions form lattice the background is dark grey. I have tried to change it using par() but it does not work. By the way, if I use par and the standard functions like hist() there is no problem with the par function. Any hints? Thank in advance, Ignacio Perez Escuela Colombiana de Ingenieria

Hello, I would like to remove some files which have the extension .test for example (data1.test, data2.test ....). Is there another solution to remove them instead of doing it one by one ? Thanks for your help, St?phanie Langevin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi - I would like to create a scatterplot with the symbols coded by a factor in each record. Is their a better way than what I have used below? I attempted to use the plot.factor, but cannot force it to make a scatterplot instead of boxplots. I have considerd making a function with a 'for' statement for each level of the factor. Is there a better way for when I am dealing with more

Hi everyone I'm trying to use sigma2.mat<-apply(ri.mat,2,'-n/2*log(sum(ri.mat^2)/n)') but it's not working. Is it wrong to use that kind of FUN in apply ? or am I doing something wrong ?! Thank's ernesto -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hola a todos. Soy un poco torpe manejando cadenas de texto, así que os pido ayuda. Tengo un vector de texto de este tipo datos$tipo [1] m.1.p.Álava m.1.p.Albacete [3] m.2.p.Alicante m.1.p.Almería [5] m.3.p.Asturias m.1.p.Ávila [7] m.1.p.Badajoz m.1.p.Baleares (Illes) [9] m.1.p.Barcelona m.1.p.Burgos [11] m.1.p.Cáceres m.1.p.Cádiz Y quiero extraer el

Hello fellow R's, I'm sure there must be an easy way to do this. But after digging in the documentation and thinking about it for a while I couldn't figure it out. I need to get a decreasing recursive vector in. I mean something like this: if starting at 2, and ending at 6, the vector should be 2 3 4 5 6 3 4 5 6 4 5 6 5 6 6 An easy way would be to do this x <-

Dear list, I do apologize if these are basic questions. I am fitting some GAM models using the mgcv package and following the model selection criteria proposed by Wood and Augustin (2002, Ecol. Model. 157, p. 157-177). One criterion to decide if a term should be dropped from a model is if the estimated degrees of freedom (EDF) for the term are close to their lower limit. What would be the

Hello R list, I need to compute empirical variograms using data from a large geographic area (~10^6 km2). Although I could not find a specific reference, I assume that both geoR and gstat calculate distances among data points assuming points are on a flat surface (using the Pythagorean Theorem). Because the location of my data is large and located near the pole, assuming that latitude and

Hello fellow R's, I do apologize if this is a basic question. I'm doing some GAMs using the mgcv package, and I am wondering what is the most appropriate way to determine how much of the variability in the dependent variable is explained by each term in the model. The information provided by summary.gam() relates to the significance of each term (F, p-value) and to the

Hi, I'm migrating from from 1.1 to 2.2. Currently I am doing test to ensure I'm doing it right. On the old server the managesieve config says: sieve = /correo/%d/%u/dovecot.sieve sieve_dir = /correo/%d/%u/Sieve and is working fine. But the same config on the new server is not working. I have activated verbose logging and this is the result: Dec 3 09:59:41 imap-01 dovecot:

Dear list, I´m calculating time differences between series of time stamps and I noticed something odd: If I do this... > time1=strptime("2009 05 31 22 57 00",format="%Y %m %d %H %M") > time2=strptime("2009 05 31 23 07 00",format="%Y %m %d %H %M") > > diff(c(time1,time2),units="mins") Time difference of 10 mins .. I get the correct

Dear list, I?m using the ?mgcv? package to fit some GAMs. Some of my covariates are derived quantities and have an associated standard error, so I would like to incorporate this uncertainty into the GAM estimation process. Ideally, during the estimation process less importance would be given to observations whose covariates have high standard errors. The gam() function in the ?mgcv? package

Hello fellow R's, I apologize if this question was answer elsewhere. I have an executable file that I need to run from R. Basically I want to use R to create the input files this executable requires, then run it, and finally use R again to analyze the output files. Because I have to do this many times I'd like to have the R code call the executable file after the input files are

Hello fellow R's, I?ve been learning to use the ggplot2 library, and after a full day of work I still have a couple of basic questions. Here is an example: mydata=data.frame(x=runif(20),y=runif(20),n=runif(20)) mydata2=data.frame(x=c(0.4,0.6,0.5),y=c(0.4,0.4,0.6)) ggplot(mydata, aes(x, y)) + geom_point(aes(size = n)) + geom_polygon(data=mydata2,aes(x,y,alpha=0.5)) In this plot, the

Dear list, I´m using the mgcv package to model the proportion by weight of certain prey on the stomach content of a predator. This proportion is the ratio of two weights (prey weight over stomach weight), and ranges between 0 and 1. The variance is low when proportion is close to 0 and 1, and higher at intermediate values. It seems that the best way to go is to model this using the

Is there any way that you could trigger events based upon actual pickup of calls and hangups of lines in ALL cases(parked calls, queued calls, calls triggerd by .call queue files)? It seems like Asterisk needs something a little lower level to allow for this, is it even possible? MATT--- -----Original Message----- From: asterisk@analitica.md [mailto:asterisk@analitica.md] Sent: Thursday,

Hola, Una forma de hacerlo es así... Pensando en que el separador de cada palabra es el "." y que la provincia es la cuarta palabra. > cad.ena <- c( + 'm.1.p.Álava' + ,'m.1.p.Albacete' + ,'m.2.p.Alicante' + ,'m.1.p.Almería' + ,'m.3.p.Asturias' + ,'m.1.p.Ávila' + ,'m.1.p.Badajoz' + ,'m.1.p.Baleares (Illes)' +

Hola. Tengo algún tipo de problema con las tildes, a la hora de trabajar en R o en RStudio, que no sé resolver. Intentando reproducir en dos PCs distintos, ambos con Windows 7, uno de los últimos ejercicios que ha publicado Carlos Gil Bellosta en su blog ( https://www.datanalytics.com/2016/06/20/6602-767-km-alrededor-de-espana-para-visitar-todas-sus-capitales-de-provincia/), me ocurre que al