similar to: zoo: hourly values (local time) not unique

Dear list, I have to look examine hourly time - series and would like to plot variable section of them using plot.zoo. Hourly time series data which looks like this: YYYY MM DD HH P-uk P-kor P-SME EPOT EREA RO R1 R2 RGES S-SNO SI SSM SUZ SLZ 2003 1 1 1 0.385 0.456 0.021 0.000 0.000 0.000 0.013 0.223 0.235 0.01 0.38

I have date data as a numeric and hourly data in 0 to 2300 hours in a dataframe. d <- rep(20110101,24) h <- seq(from = 0, to = 2300, by = 100) df <- data.frame(LST_DATE = d, LST_TIME = h, data = rnorm(24, 0, 1)) S <- chron(dates. = as.character(df$LST_DATE), times. = paste(as.character(df$LST_TIME/100), ":0:0", sep = ""), format =

I create a zooreg object that runs from Jan-1-2002 0:00 to Jun-1-2005 0:00... regts.start = ISOdatetime(2002, 1, 1, hour=0, min=0, sec=0, tz="") regts.end = ISOdatetime(2005, 6, 1, hour=0, min=0, sec=0, tz="") regts.zoo <- zooreg( NA, regts.start, regts.end, deltat=3600 ) Upon inspection: > regts.zoo[1:3] 2002-01-01 00:00:00 2002-01-01 01:00:00 2002-01-01 02:00:00

I'm using R 2.10.0, with zoo 1.5-8. The release notes for zoo 1.5-8 claim a bug with unique for yearmon objects has been fixed, but I'm still having problems. Browse[1]> tmp2 [1] "Dec 1996" "Dec 1996" Browse[1]> unique(tmp2) [1] "Dec 1996" "Dec 1996" Browse[1]> unique(unique(tmp2)) [1] "Dec 1996" Browse[1]> as.numeric(tmp2) -

Hi I have a collection of about 16 time series with occasional missing data. A few of these time-series start later than the rest. There is a relatively high correlation between them (they are hourly temps at various locations around the UK). The longest series contains about 40000 points I have constructed each time series into a zoo object and then merged each of these objects in to one (zoo

I have hourly data for approximately 21 days in the following format DateID HourID Metrics 20060920 0 xxxxxx 20060920 1 xxxxxx The hour ids correspond to one hour windows starting 00:00 to 23:59. I have never dealt with TS data before. What is the best way to handle this data? TS objects or use the Zoo package? Thanks in advance.

Hello; I am trying following but getting a warning message : Warning in rbind.zoo(...) : column names differ, no matter whatever I do. Also I do not want to specify column names manually, since I am just writing a wrapper function around getSymbols to get chunks of data from various sources - oanda, dividends etc. I tried giving col.names = T/F, header = T/F and skip = 1 but no help. I think

I have a zooreg object and I want to be able to generate a value for seasons and 11-day composites paste it onto my zoo data frame, along with year, month and days. Right now I have the following to work from: eg. dat.zoo.mdy <- with(month.day.year(time(dat.zoo)), cbind(dat.zoo, year, month, day, quarter = (month - 1) %/% 3 + 1, dow = as.numeric(format(time(dat.zoo), "%w")))) For

Using: Mac OS 10.7.2 R version 2.13.2 I cannot load the zoo package. The install runs fine but when trying to load it i get the following error: /Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object '/Users/ntyhurst/Library/R/2.13/library/zoo/libs/i386/zoo.so': dlopen(/Users/ntyhurst/Library/R/2.13/library/zoo/libs/i386/zoo.so, 6): Library not loaded:

Hi, the snippet of code below works, but I would like to know how to feed the function merge.zoo the contents of CADstocknames rather than having to hard code it into the merge.zoo command. I think I must be missing something simple, but I cannot for the life of me figure it out. Thanks in advance for any enlightenment offered. library(zoo) CADstocknames <-

Readers, I am trying to use the zoo package with an array of data: file1: hh:mm:ss 1 hh:mm:ss 2 hh:mm:ss 3 hh:mm:ss 4 file2: hh:mm:ss 11 55 hh:mm:ss 22 66 hh:mm:ss 33 77 hh:mm:ss 44 88 I wanted to merge these data set so I tried the following commands: library(chron) library(zoo) z1<-read.zoo("path/to/file1.csv",header=TRUE,sep=",",FUN=times)

Dear R Users and maintainers of packages zoo and timeSeries, I believe there is a recently introduced inconsistency between timeSeries and zoo which is causing a problem with rbind. I had previously reported that I was having problems with rbind in the following code: library(zoo) foo<-zoo(1,order.by=as.Date("2007-10-09")) bar<-zoo(2,order.by=as.Date("2007-10-10"))

Dear all, I have an error message, when I try to convert a zoo object (called test) to ts (on R 2.4.0, Package zoo version 1.2-1, Windows XP) > test 1994-05-10 1994-06-09 1994-07-09 0.0024943889 0.0024881824 0.0006955831 > str(test) atomic [1:3] 0.002494 0.002488 0.000696 - attr(*, "index")=Class 'Date' num [1:3] 8895 8925 8955 > is.regular(test) [1] TRUE

Hello: I'm having problems creating a real NAMESPACE to replace the pro forma one in the fda package on R-Forge. "R CMD check" complains, "Error: package 'zoo' could not be loaded ... there is no package called 'zoo'"; see below. I get this both with and without "import(zoo)" in NAMESPACE. Suggestions? Thanks,

Dear list, I have an irregular time series saved and exported as a zoo object. What is the trick to force zoo to ignore the missing dates when reading it back in? Thanks. > str(g) ?zoo? series from 1948-11-02 to 2012-11-06 Data: num [1:14881, 1:8] 1 0 0 0 0 0 0 0 0 0 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : chr [1:8] "session" "midterm"

Hi, I have a csv file with different datatypes: 2009-01-01, character1, 10, 20.1 2009-01-02, character2, 11, 21.1 (I have attached the file to this post) I read this file with read.zoo as I want a zoo/xts timeseries: > t = read.zoo("./data.txt", sep=",", dec = ".", header=FALSE) If I look at the zoo data all integer/numeric columns are read as character: >

Dear R users,I have a long program that I am trying to run--I am using RStudio as my interface with R. The pieces of the program run well individually but when I try to run everything in sequence it bogs down because of a warning after using rollmax from package zoo. Here is the warning: "In rollmax.zoo(zoo(Pmat), 7, na.pad = FALSE, align = "right") : na.pad is deprecated. Use

I am trying to get monthly means for a daily data series using zoo(). I have found an odd problem, that seems to be caused by zoo()'s handling of leap years. Here's my R script with 2 methods (freq=365, 366) for aggregating the daily data to monthly series: library(zoo) J_link <- "http://www.ijis.iarc.uaf.edu/seaice/extent/plot.csv" JAXA_data <- read.table(J_link,

The problem now is it looks like my read.zoo isn't working. Sorry for sort of double posting. Someone please assist if you have time with my read.zoo command line. my data is as just below this line, a time stamp and a real number with a comma sep. 10/11/2011 23:00:06,432.12 z=read.zoo("Kevin-0-comma-ITPower.txt", format="%m/%d/%Y %H:%M:%S",

Dear R-helpers, It seems to me that a character zoo cannot be coerced to a numeric zoo. Below is a minimal example. Can someone tell me what I have done wrong? > z<-zoo(1:4,order.by=1:4) > coredata(z)<-as.character(coredata(z)) > str(z) ‘zoo’ series from 1 to 4 Data: chr [1:4] "1" "2" "3" "4" Index: int [1:4] 1 2 3 4 >