similar to: access objects in my environment

Dear group, Here is my environment : > ls() [1] "l" "PLglobal" "Pos100415" "Pos100416" "Pos100419" "Pos100420" "position" "select" "Trad100415" "Trad100416" "Trad100419" "Trad100420" "trade" "y" With objects : > l [1]

Dear group, I have 3 data frames I would like to merge. Here they are: pose16 <- structure(list(DESCRIPTION = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 12L), .Label = c("COPPER May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "ROBUSTA COFFEE (10) Jul/10", "SOYBEANS Jul/10", "SUGAR NO.11

Dear group, I am trying to write functions, but as a beginner, everything is not so obvious. Let's say I want the results in a list of elemts like this : tot1, tot2, etc Here is a function: toto <- function(x,y) { for(i in x:y){ paste(c("tot",i),collapse="")<-(i*2) } } If I type this : >toto(1,5) I get this message error: Error in paste(c("tot",

Dear group, Here is my function: #return the daily PL for day y PLDaily<-function(x,y) { #find elements in my directory with "LSCPos" in the name, keep the numeric part in the name and #create a list l<-gsub("\\D","",dir()[grep("LSCPos",dir())]) #select in the list the desired elements

Dear group, I have a function, let's call it myfun, wich give me a list of result: R1,R2,R3... There is a loop in this function to get my results. Here is the structure of my function: Myfun<-function() { For (i in X ){ -----------instructions--------- Ri { { All Results (R1,R2...) are Data.frame. As a final result (call it "Final"), I need to rbind all these dataframe. One

> To everyone on the list: do *NOT* attempt to do echo cancellation with > signals sampled using different clocks. This will *NOT* work. Just a > 0.1% difference between the two sampling rates (it's sometimes worse > than that) means that the impulse response drifts by 8 samples every > second. There's just no way to efficiently track this. Or at least no > way that

Dear group, Here is my df : pose16 <- structure(list(DESCRIPTION = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 12L), .Label = c("COPPER May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "ROBUSTA COFFEE (10) Jul/10", "SOYBEANS Jul/10", "SUGAR NO.11 Jul/10", "SUGAR NO.11 May/10",

Dear group, Here is a list of elements : l <- c("100415", "100416", "100419", "100420", "100421", "100422", "100423", "100426", "100427", "100428", "100429", "100430", "100503", "100504", "100505", "100506", "100507",

To everyone on the list: do *NOT* attempt to do echo cancellation with signals sampled using different clocks. This will *NOT* work. Just a 0.1% difference between the two sampling rates (it's sometimes worse than that) means that the impulse response drifts by 8 samples every second. There's just no way to efficiently track this. Or at least no way that doesn't involve something 100x

Dear group, Here is a list : l <- list("100415", "100416", "100419", "100420", "100421", "100422", "100423", "100426", "100427", "100428", "100429", "100430", "100503", "100504", "100505", "100506", "100507",

Dear group, Here is my environment: > ls() [1] "DailyPL100419" "DailyPL100420" "DailyPL100421" "dd" "i" "l" "PLglobal" "Pos100416" "Pos100419" "Pos100420" "Pos100421" "position" [13] "result" "sel"