similar to: ts & daily timeseries

I'm learning how to use tapply. Now I'm having a go at the following code in which dati contains almost 600 lines, Pot - numeric - are the capacities of power plants and SGruppo - text - the corresponding six technologies ("CCC", "CIC","TGC", "CSC","CPC", "TE"). .....................................................

I receive the following meteo dataset regularly, containing the average daily temperatures (tMedia) of a certain month for 24 selected meteo-stations (COD_WMO) whose human-readable names are in (NOME). str(tabella) `data.frame': 1038 obs. of 4 variables: $ COD_WMO: int 16045 16045 16045 16045 16045 16045 16045 16045 16045 16045 ... $ NOME : Factor w/ 24 levels

I usually work with R on a windows querying data through RODBC from a postgresql db on a freebsd machine on my offcie lan. Now I have the chance to use R also on a linux gentoo client box and to connect to the same db. I know that I can install the unixodbc stuff and stick to RODBC, BUT my question is: Is there any more 'linuxish' way of querying a postgresql server from a client?

Context: Windows XP, R 1.8.1 I'm studying Venables-Ripley "MASS" book and having a go at the many examples in library MASS. The code I'm checking (from script ch04.R) now is ...... data(swiss) splom(~ swiss, aspect = "fill", panel = function(x, y, ...) { panel.xyplot(x, y, ...); panel.loess(x, y, ...) } ) which produces an agreable plot with a gray

Context: Windows XP - R 2.0.1 with the latest updated packages (including Rcmdr) I'm trying to load Rcmdr to use the 3d plots (e.g. scatter3d) but here it is what happens: > library(Rcmdr) Loading required package: zoo Loading required package: strucchange Loading required package: sandwich Loading required package: relimp Loading required package: mvtnorm Loading required package:

I use linux debian testing for which the latest debianized version of R is 1.8.1. Therefore I installed: r-base-core_1.8.1-0.cran.1_i386.deb r-base-dev_1.8.1-0.cran.1_all.deb r-base-html_1.8.1-0.cran.1_all.deb r-base-latex_1.8.1-0.cran.1_all.deb r-base_1.8.1-0.cran.1_all.deb r-doc-html_1.8.1-0.cran.1_all.deb r-doc-info_1.8.1-0.cran.1_all.deb

At office I'm cautiously introducing R to be used as the basic statistical program, getting rid of licensed stuff or reducing the amount of it. The aim of R would be to run generic statistical programs built & "consumed" when needed and some static procedure dealing with time-series. Now, we have substantially 3 OS platforms, win xp, linux and freebsd 5.4, on similar PCs (pentium

Sorry to keep posting but I want to do this right and I'm hoping for some pointers I now have two time series objects which I need to subtract. Unfortunatly the two series dont have the same sample rates. When I try to subtract them avgSub<-avg1-avg2 The time series object is clever enough to object. So I guess I need to write a function for subtraction of the time series objects which

I have the following timeseries "tab" ===================================== > str(tab) mts [1:23, 1:2] 79.5 89.1 84.9 75.7 72.8 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : chr [1:2] "Ipex...I" "Omel...E" - attr(*, "tsp")= num [1:3] 2006 2008 12 - attr(*, "class")= chr [1:2] "mts" "ts" > tab

Working - among other things- in the field of (short & long term) electricity forecast, we are now using too many & too expensive pieces of licensed software: SAS, SPSS, EViews. This "sedimentation" is due to the fact that my predecessors in the past used different consultant companies to manage each procedure. Having attended the useR2004! Conference with the aim of assessing

Dear All, I'm happily extracting data of temperature from an oracle db under R via RODBC. After manipulating the extracted data I put them into a data.frame 'dati' which is as follows: > dati DATA tm. UDINE/RIVOLTO tm.TORINO/CASELLE 1 2005-07-01 22.35 23.80 2 2005-07-02 22.70 22.85 3 2005-07-03 23.80

Context:Linux debian testing, compiled R 1.9.0 from source. I've just installed the contributed ffnet package wit no problem at all. But when loading the library the following error message is popping up and no ffnet command seems to work: >library("ffnet") Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library

When I try to convert the zoo object to a timeSeries object, which would allow me to utilize Rmetrics packages, I get an error message. > Data<-read.zoo("c:\\DOWUBSPRICING.txt,na.strings="NA",sep="\t",header=T) > is(Data) "zoo" > as.timeSeries.zoo(Data) Error in .local (.Object, . ) Is this happening because I am using daily data?

In the text file pressione2008.csv I have the following "Data","MAX","MIN","Note" "07-01-2008 08:00:00", 135, 90, "Eccessi feste, inizio dieta" "07-01-2008 18:00:00", 135, 85, "" "08-01-2008 08:00:00", 125, 75, "" which is a collection of blood pressure data at different time of the day. I would

Dear all, I'm indirectly faced with the fact that setting the 'tsp' attribute of an object modifies its class definition: > class( structure(1:2, tsp=c(1,2,1), class=c("myts","ts")) ) [1] "ts" "myts" In general, this is of really little (ok, I admit: totally no) interest for me because 'myts' class is added just after assigning the

I have a problem ordering by descending magnitude a POSIXt object. Can someone help please and let me know how to work around this. My goal is to be able to order my data by DATE and then by descending TIME. I have tried to include as much info as possible below. The problem stems from trying to read in times from a CSV file. I have converted the character time values to a POSIXt object using the

Hi all I have some tick-by-tick data and I have calculated the intraday returns. I want to sum up the intraday squared returns to calculate the daily volatility(or daily variance). I know that the s-plus FinMerics has the function aggregateSeries function that can be apply to daily data: aggregateSeries(x, Fun, by="daily"), but the counterpart function in R:applySeries can not be apply

I have the following code #################################################################### library(zoo) miedate <- yearmon((2006)+seq(0,23)/12) tab <- zoo(cbind(A = c(79.47, 89.13, 84.86, 75.68, 72.82, 78.87, 93.46, 78.18, 82.46, 77.25, 80.95, 84.39, 81.7, 74.76, 65.29, 60.3, 66.59, 73.19, 92.39, 65.76, 77.45, 74.22, 101.36, 100.01), B = c(77.95, 76.73, 51.2, 51.86, 51.29, 49.45,

Dear List, I have a data frame of data taken every few seconds. I would like to subset the data to retain only the data taken on the quarter hour, and as close to the quarter hour as possible. So far I have figured out how to subset the data to the quarter hour, but not how to keep only the minimum time for each quarter hour. For example:

Hi, I have problem with upssched on windows. Upssched is not executed. I have 2 scripts, 1 for notification in upsmon and second for scheduling in upssched. Monitoring is working fine, script write to log. I'm using binary windows installer 2.6.5-6 from NUT. Here are my configs: --- nut.conf MODE=netclient --- upsmon.conf MONITOR ups_1000 at 192.168.3.95 1 <user> <password> slave