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I have index ( of a vector ) values of say tempin<-c(1 31 61 91 121 all the way upto 1411) What I want is a function that takes in a number say, x = 5, and gives me an new vector of tempout<-1 6 31 36 91 96 121 126 .......... 1411 1416 This can't be so hard but I can't get it and I've honestly tried. Obviously, tempin + 5 gives me the missing values but I

I am constructing plots ( regular not lattice ) and my initial command is par(mar=c(3,4,2,2), mfcol=c(5,2)) and then I create 10 plots on the page. It looks great but the plots on the page go in the order 1 6 2 7 3 8 4 9 5 10 Where the numbers denote decile breakdowns. Is there an easy way to make them go from left to right so 1 2 3 4 5 6 7 8 9 10 I could try

does anyone know how to put a column name on a zoo object. I think achim and gabor are off line or they have gotten totally tired of me an decided to ignore me ( which is totalyy understandable ). logbidask<-log((aggfxdata[,"bid"] + aggfxdata[,"ask"])/2.0) logbidask doesn't have a name and I can't figure out how to get one on it ? aggfxdata is a zoo object.

I have the code below which gives me what I want for temp based on logvec but I was wondering if there was a shorter way ( i.e : a one liner ) without having to initialize temp to zeros. This is purely for learning purposes. Thanks. logvec <- c(TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE) temp<-numeric(length(invec)) temp[invec]<-which(invec) temp [1] 1 0 0 4 0 0 7 0 obviously, the

Dear R Users, Can someone point me to a R package which will help me optimally choose a lag for Granger Causality testing ? Many thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are

I just noticed something by accident with R syntax that I'm sure is correct but I don't understand it. If I have a simple numeric vector x and I subscript it, it seems that I can then subscript a second time with TRUE or FALSE, sort of like a 2 dimensional array in C. Does someone know if this is documented somewhere Because it's neat but I never knew it existed. To me it seems like a

I have a vector of character strings such as mainnames<-c("CAD","AUD") and another vector say checknames<-c("CAD.l1","AUD.l1","JPY.l1","EUR.l1","CAD.l2","AUD.l2","JPY .l2","EUR.l2") I want a new vector of character strings that is just

Dear all R users, I have a small doubt about panel data analysis. My basic understanding on Panel data is a type of data that is collected over time and subjects. Vector Autoregressive Model (VAR) model used on this type of data. Therefore can I say that, one of statistical tools used for analysis of panel data is VAR model? If you clarify my doubt I will be very grateful. Thanks and regards,

This is not an R question but if anyone can help me, it's much appreciated. Suppose I have a series ( stationary ) y_t and a series x_t ( stationary )and x_t has variance sigma^2_x and epsilon is normal (0, sigma^2_epsilon ) and the two series have the relation y_t = Beta*x_t + epsilon My question is if there are particular values that sigma^2_x and sigma^2_epsilon have to take in

i'm doing a bar plot and there are 16 column variables. is there a way to make the variable names go down instead of across when you do the barplot ? because the names are so long, the barplot just shows 3 names and leaves the rest out. if i could rotate the names 90 degrees, it would probably fit a lot more. or maybe i can use space to make the horizontal width longer ? I looed up ?barlot but

Hi useRs.. I cant figure out how to test for causality using causality() in vars package I have two datasets (A, B) and i want to test if A (Granger)cause B. How do I write the script? I dont understand ?causality. How do I get x to "contain" A and B. Further using the command VAR() to specify x, I dont either understand. Kind regards Tobias -- View this message in context:

I did a ?do.call but i don't think i understand it. if a, b,c,d are numeric vectors then could someone explain the difference between do.call("cbind",list(a,b,c,d)) and cbind(a,b,c,d). or point to an archive on it. the return value of cbind is a matrix or dataframe depending on what is sent in but i don't understand wheen it would be useful to use do.call. i realize it

Hi! I've made great progress in my R programming, but I am again stuck on a beginner's problem. I would like to start R with a command line that loads a file, and if possible, executes a function. Can anyone give me an example of how to do this? For example, in lisp, I would say: $ lisp -load toto.lisp -eval '(do-something $PORT)' to load the file "toto.lisp", then

Hi, Having several daily wind speed time series I want to extract those consecutive days over and below certain values (i.e. 5 < x <8) Don't know which funtion to use (aggregate, lapply?) and how to do it. Thanks in advance Antonio

Greetings, I'm learning R and I'm stuck on a basic concept: how to specify a logical condition once and then perform multiple transformations under that condition. The program below is simplified to demonstrate the goal. Its results are exactly what I want, but I would like to check the logical state of gender only once and create both (or any number of) scores at once.

I was going through the example below which is taken from the example section in the R documentation for accessing the function call stack. I am confused and I have 3 questions that I was hoping someone could answer. 1) why is y equal to zero even though the call was done with gg(3) 2) what does parents are 0,1,2,0,4,5,6,7 mean ? I understand what a parent frame is but how do the #'s relate

I have comma delimited asci data with each row being in the format : 2006-01-24 02:41:24.00011,1.22930000,5,1.22950000,7 . . . . and i'm trying to use read.zoo ( which is similar to read.table ) to read in the data. the data goes all the way out to milliseconds and i can't figure out what to put for the format field. if i put nothing, then read.zoo gets rid of the the whole time and

I have the code below and it works fine if I print the xyplot but if I take the print out, then I just get a blank pdf. The same holds if I just send the plot to the console without the print ( I get nothing ). My question is whether this is always the case with xyplot or is there something wrong with my settings ? I am on linux ( redhat ) and using R.2.5.0. Thanks. load("stocks.dat")

I have two numeric vectors each of length 17 and each is named the exact same way. so obsnum ppppp ppppm pppmp . dot dot dot...... temp1 is 1417 52 63 85 obsnum ppppp ppppm pppmp . dot dot dot...... temp2 is 1213 41 50 97 what i want to have is a resultant matrix with 2 rows and 16 columns where the 16

Dear Community, I am new to R and have a question concerning the causality () test in the vars package. I need to test whether, say, the variable y Granger causes the variable x, given z as a control variable. I estimated the VAR model as follows: >model<-VAR(cbind(x,y,z),p=2) Then I did the following: >causality(model, cause="y"). I thing this tests the Granger causality of