similar to: plotting zoo object

I have a time series from 1933-2005 of precipitation at Fayetteville NC. I get the following error messages when I plot the zoo series. Any help would be appreciated. If you need the data I can dput it or send the csv. I didn't include it here because I didn't want to clog up anybodies email account. I know that this is not reproducible, and I will send along the file if needed.

Here's the small scale version of the R script: http://pastebin.com/sEYKv2Vv Here's the file that I'm reading in: http://r.789695.n4.nabble.com/file/n4487682/weatherData.txt weatherData.txt I apologize for the length of the data. I tried to cut it down to 12 lines, however, it wasn't reproducing the bad output that I wanted to show. The problem is that my whole data set

I am using windows XP with R 2.8.1 I am generating a lattice plot of annual rain patterns using the following function: > xyplot(rain.stats$min+ rain.stats$max + rain.stats$ave ~ rain.stats$month |rain.stats$year, lty = 1, data = rain.stats, type = c("l","l", "l"), col = c("red", "blue", "green"), distribute.type =

I have a matrix with data that runs from 1/1/06 00:01:00-1/31/08 23:46:00. I have read in the data with this fmt.chron <- function(x) { chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x)) } x <- read.zoo(file.choose(), sep=",", header=T, FUN=fmt.chron) plotted with this plot(x[,(seq(3, by=9, length.out=12))],

the comma seperated file is 37Mb, and I get the below message: it is zoo object read in this way: # chron > library(chron) > fmt.chron <- function(x) { + chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x)) + } > z1 <- read.zoo("all.csv", sep = ",", header = TRUE, FUN = fmt.chron) and then the plot is done with:

Dear R People: I have a zoo object with its date index as a factor. > xAle1.zoo$index Error in xAle1.zoo$index : $ operator is invalid for atomic vectors > str(xAle1.zoo) Class 'zoo' atomic [1:32] 1253 1316 1038 1157 1710 1489 1159 1142 945 1245 ... ..- attr(*, "index")= Factor w/ 32 levels "04/16/09","04/17/09",..: 1 2 3 4 5 6 7 8 9 10 ... >

Hello, I have two zoo objects, new and old, indexed by chron objects. Their structure is like this: (05/25/06 00:00:00) NA NA NA (05/25/06 00:02:00) 948.20 24.198 0 (05/25/06 00:04:00) 948.26 20.640 0 (05/25/06 00:06:00) 948.37 19.653 0 (05/25/06 00:08:00) 948.48 19.135 0 (05/25/06 00:10:00) 948.54 22.510 0 (05/25/06 00:12:00) 948.55 27.175 0 (05/25/06 00:14:00) 948.46

Dear all, I have several text files looking like this: 9063032 19700201 22:00 174.067 9063032 19700201 23:00 174.076 9063032 19700202 00:00 174.085 9063032 19700202 01:00 174.091 9063032 19700202 02:00 174.094 9063032 19700202 03:00 174.091 9063032 19700202 04:00 174.082 9063032 19700202 05:00 174.079 And I run this loop: for (j in 1:nr.of.files) { #Import: DF <-

Hi all, I have a zoo object issue. When I create a zoo object I have following error message: "some methods for 'zoo' objects do not work if the index entries in 'order.by' are not unique." I checked if I have some duplicates in the 'Time' column, R says yes, but when I check the data set I can't explain why. Here is the code. >

Dear R-helpers, Please have a look at the following. f1 is the same as f2 except that it has some values replaced by NA. But it's corresponding file is slightly bigger than the file containing f2. Could someone please tell me if this is an anomaly ? > load("file1") > ls() [1] "f1" > load("file2") > ls() [1] "f1" "f2" > >

#this is a subset of a larger data frame and I am okay with subsetting it as there are redundant time stamps, but I would like to create a zoo object out of this and I am having a hard #time figuring out how to do this the date structure is year and then month x <- structure(list(Yearmonth = structure(c(12L, 24L, 1L, 13L, 14L, 3L, 15L, 4L, 16L, 5L, 17L, 6L, 18L, 7L, 19L, 8L, 20L, 9L, 21L,

Dear R People: I would like to combine a zoo object with some observations at the end. Here is the set up: > xgh 2010-06-15 2010-06-16 2010-06-17 2010-06-18 2010-06-19 2010-06-20 2010-06-21 5 6 1 5 0 0 13 2010-06-22 2010-06-23 2010-06-24 2010-06-25 2010-06-26 2010-06-27 2010-06-28 9 6 4 6

library(zoo) d<-(structure(c(1.39981554315924, 0.89196314359498, 0.407816250252697, 0.823496839063978, 1.14429021220358, 1.23971035967413, 0.960868900583432, 0.927685306209829, 1.22072345292821, 0.249842897450642, 1.00879641624694, 0.925372139878243, 0.317259909172362, 0.382677149697482), index = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996,

z1 = read.zoo("chemmgL.csv", sep=",", header=T, format="%m/%d/%y") I would like to the entire date field in the plot - 1/1/07 all that I get now is 2007 I do not include data because it is to large of a data set for an email -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us

# chron library(chron) fmt.chron <- function(x) { chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x)) } z1 <- read.zoo(SC3.csv, sep = ",", header = TRUE, FUN = fmt.chron) z2 <- read.zoo(SC2.csv, sep = ",", header = TRUE, FUN = fmt.chron) z3<-c(z1, z2) write.table(z3, sep="," , "SC.csv") How do you

Hi, again i am stuck in my presentation, and i have never learn R before in my life but need this to be done, so please help me out for a favour: http://www.nabble.com/file/p20333155/kew.dat kew.dat run this in R and these comes up: Month Year Rain 1 Jan 1900 74.400000 2 Feb 1900 80.500000 3 Mar 1900 23.600000 4 Apr 1900 23.600000 5 May 1900 25.100000 6

I am was going to look at the as.yearmon function in the zoo package and write a as.day function to aggregate a time series of 96 observations per day into the mean for each day, but I don't know how to look at the code so that I can convert it into something I can use. On top of that I believe that it is probably an S3 method and I haven't quite gotten that far in my programming

Hello all! I have a problem with ggplot2 library. I want to do an heat map and the y variables are the year months. If I use the following code, he y values are in alphabetical order, but I want it in month order. The code is: library(reshape) library(ggplot2) library(scales) p <- ggplot(data.m, aes(variable, Month)) + geom_tile(aes(fill = value),

library(zoo) library(chron) t1 <- chron("1/1/2006", "00:00:00") t2 <- chron("1/31/2006", "23:45:00") deltat <- times("00:15:00") tt <- seq(t1, t2, by = times("00:15:00")) d <- sample(33:700, 2976, replace=TRUE) sin.zoo <- zoo(d,tt) #there are ninety six reading in a day d.max <- rollapply(sin.zoo, width=96, FUN=max)

#Is there a way to break the below zoo object into non-NA data frames algorithmically #this is a small example of a much larger problem. #It is really no even necessary to have the continuous chunks #end up as zoo objects but it is important to have them end #up with the index column. #thanks for all of your help in advance, and #if you need anything else please let me know library(zoo) ind.