similar to: Some questions about package "pastecs" and "stats"

Hi; lissage<-function(variable) { library(pastecs) ENTREE.ts <- ts(projet$ENTREE) ENTREE.dec <- decaverage(ENTREE.ts, order=variable, sides=2, ends="fill") plot(ENTREE.dec, col=c(1, 4), xlab="temps",ylab="Nombre d'entr?es",main=paste("Moyenne mobile d'ordre ",variable," sous R"), stack=FALSE, resid=FALSE,

I am trying to use the "kernel" function. To understand how it works I tried out some of the examples. None of them works as shown in the following: > kernel("daniell", 50) # Error in kernel("daniell", 50) : unused argument(s) (50) > kernel("daniell", 10) # Error in kernel("daniell", 10) : unused argument(s) (10) >

I have a Date x Stock (223 x 520) matrix of "trading volume". I can calculate a 5-day (past) average in about 1 second using: R> apply(vol, 1, filter, filter=c(0, rep(1/5,5)), sides=1) I would like to do the same with a 5-day median, e.g.: R> mymed <- function(x, n=5) { R> r <- rep(NA, length(x)) R> for (i in (n+1):length(x)) r[i] <- median(x[i-(1:n)]) R>

Hi I just installed the pastecs package and I am wondering: is there an english (or german) translation of the file pastecs.pdf? If not, is there an explanation somewhere of the object of type 'turnpoints' as a result of turnpoints(), especially the "info" field? Thanks, Rainer -- NEW EMAIL ADDRESS AND ADDRESS: Rainer.Krug at uct.ac.za RKrug at sun.ac.za WILL BE

Hello, I'm trying to get a few turnpoints for a financial time series. There is a function in pastecs that does that. However, I get a large number of turnpoints: library(pastecs) data(EuStockMarkets) dax <-EuStockMarkets[,1] plot(dax) turnp <-turnpoints(dax) summary(turnp) #gives 925 peaks/pits!!! How can specify to get only 30 turnpoints? Second question: the extract function

In function daystoyears in package pastecs, I get this (wrong?) result with 1995: > daystoyears(1,datemin="1/1/1997",dateformat="m/d/Y") 1997.001 > daystoyears(1,datemin="1/1/1995",dateformat="m/d/Y") 1994.999 Any insights? Thanks Angel

Hi, I'm trying to analyse some time series data on dissolved organic nitrogen. Because it has gaps in it, I try to interpolate (linear) with the regul method from the pastecs package. I have a number of stations with measurement series in a matrix constructed from a data frame with the unstack method (temp) I also used the unstack method to make a similar matrix for the time points

There is now a preliminary version of a time series package in the R-devel snapshots, and we would welcome feedback on it. It is based in part on the packages bats (Martyn Plummer) and tseries (Adrian Trapletti) and in part on code I had or have written. (Thanks for the contributions, Martyn and Adrian!) Some of the existing ts code has been changed, for example to plot multiple time series, so

Hi, I have a question to post. But I have a problem finding the appropriate forum. Some of the FAQ on pastecs are answered by R-help@stat.math.ethz.chmailing list. I searched to see if this mailing list requires registration or not. There was no information about that. I am a registered member of R- help general mailing list but I am aware it is better to post my question to a specific group in

Sorry for entering late in the thread, but I was absent last week. I am developping an alternate GUI for R (and also Splus, Octave, Scilab, Matlab, Ox & Mathematica). The project started 3 years ago, but it is progressing slowly, since I am currently the only developer on the project and had to do it during my extra time. Now, it is going a little faster because I got some time and money

Hi R-user, I was trying to make a raster map with WGS84 projection in R, but I could not make it. I found one data set in Google that data is almost the same format as of mine. I wanted to make a raster map of temperature with 1 degree spatial resolution for the global scale. I could make it in GIS software but I do have many variables (to be many raster images) and ultimately I am importing them

Hi R-User I was trying to make a raster map with WGS84 projection in R, but I could not make it. I found one data set in Google that data is almost the same format as of mine. I wanted to make a raster map of temperature with 1 degree spatial resolution for the global scale. I could make it in the GIS software but I do have many variables (to be many raster images) and ultimately I am

Hello, I have an irregular time series of the form : Time Data Time1 Data1 .... 1 b 1 e 7 g 4 i NA NA 5 k NA NA NA NA ... (the columns have varying length of NAs after a certain point) Converting this to regular time series with Pastecs does not seem to work, when I see the entire data as a single series. So I remove

Hello, LLVMers. I am trying to restore the original HL code from LLVM IR (kinda reverse engineering). There are two main issues for that, control-flow analysis and data-flow analysis. (Thanks to your suggestsions) I have good refereces about the control-flow analysis for structuring conditionals, loops and so on. However, I have no good idea about data-flow analysis, especially on PHI-functions.

Good evening to everybody. I have a data of four columns - three of the columns represent date while the fourth is counts. Setting 4000 as my minimum point/value, I wish to find out the number of counts that are less or equal to 4000 and the dates they occur. I have installed pastecs and have been trying to use turnpoints function to do this. I have not been much lucky. I am a still learning. I

Dear R-listers, I am a newbie with R and I am struggling with something I consider very basic. I wish to produce a table (to import in a latex file) of summary statistics, but for as much as I've been looking around and trying various alternatives (plyr, reporttools, pastecs and Hmisc) I haven't found what I am looking for. Probably I am doing something wrong, but I can't figure out

Hi, Here's the problem I ran into: the gmp package has a method for apply() so it masks the base::apply function. With gmp installed, I tried to run the function turnpoints() from the pastecs package. It fails because it calls apply() internally, like this: apply(mymatrix,1,max,na.rm=TRUE) , but the code in the gmp package which sets up the operator overload for apply() strictly

Hello, To me as a beginner, every problem looks big. Below is what I was asked to do as part of a code that will solve my problem. I have used read.table to read my data into R and assigned the column names with colnames(dat)<- ... . But to go from txt<-" to the last " at the bottom of the table below is what I am unable to do. Could anybody please tell me how to type or arrive at

Dear all, I want make correction depth of a bathymetric data set. To do so, I have the depth data set sample every second (a depth at each second) in one hand, and in the other hand, I have a tide variation level data set sample every 250 ms. The time register in each data sets (tide and bathymetric) is express in seconds followinf this format : hh:mm:ss.ss I would like to rectify the depth

Dear R People Here is an interesting problem: > library(pastecs) > a <- 1:100 > b <- daystoyears(a,datemin="1/1/2003",dateformat="m/d/Y") > b [1] 2002.999 2003.002 2003.005 2003.008 2003.010 2003.013 2003.016 2003.018 2003.021 2003.024 2003.027 2003.029 2003.032 [14] 2003.035 2003.038 2003.040 2003.043 2003.046 2003.049 2003.051 2003.054 2003.057 2003.060