similar to: overlaying zoo plots in lattice

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"))

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?

dear r-list I have a zoo object with 2 objects and time: looks like: 2005-12-31 12:00:00 NA NaN 2005-12-31 13:00:00 NA NaN 2005-12-31 14:00:00 NA NaN 2005-12-31 15:00:00 NA NaN 2005-12-31 16:00:00 NA NaN 2005-12-31 18:00:00 NA NaN 2005-12-31 19:00:00 NA NaN 2005-12-31 20:00:00 NA NaN 2005-12-31 21:00:00 NA

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: >

Greetings -- I've got some sensor data of the form t1_1, t1_2 t2_1, t2_2 ... tN_1,tN_2 -- time intervals measuring starts and stops of sensor activity. I'd like to see whether there's any regularity in it. Seems natural to consider these data timeseries -- except most of the timeseries packages and models assume regular ones, with a fixed frequency. I wonder what's a

Hi guys, I am logging data about my body (weight, body fat, blood pressure, ..) in a .csv file and would like to plot this as a time series. I uploaded the (noisified) .csv, you can see the link in the code I have so far (you can run the code directly as-is): df.raw <- read.csv("http://www.chaotic-neutral.de/temp/stats-noised.csv", sep=";", dec=".")

Hi, I am trying to get the following two timeseries (these are small subsets of the whole thing) into R so I can merge them using zoo. Timeseries 1=[ Date Count 9/28/2003 1505 10/5/2003 1535

Hello Where could I find examples on how to work with the time index in a timeseries or zoo series? Let say I've got this series DATA 1990-01-01 10:00:00 0.900 1990-01-01 10:01:00 0.910 1990-01-01 10:03:00 0.905 1990-01-01 10:04:00 0.905 1990-01-01 10:05:00 0.890 ....................... 2000-12-31 20:00:00 0.992 How do I make simple calculations such as ... ? Calculate the

i have time series of momentum signal. I want to get the date of each of the "-1" signal period. for example , the first period of -1 signal begins on 2005-9-21 and ends on 2005-9-28. 2nd period of -1 signal begins on 2005-09-30 and ends on 2005-10-28. Thx Cameron date Px 200MA Signals 2005-09-15 26.27 25.83865 1 2005-09-16 26.07 25.83275 1

> On 15 Sep 2017, at 11:38, yadav neog <yadavneog at gmail.com> wrote: > > hello to all. I am working on macroeconomic data series of India, which in > a yearly basis. I am unable to convert my data frame into time series. > kindly help me. > also using zoo and xts packages. but they take only monthly observations. > > 'data.frame': 30 obs. of 4 variables:

Hi, I have an intraday timeseries of financial data (see below) which has gaps due to market opening and closing hours. I am trying to plot it, but the time gap is always visible in the plot. I tried converting data to xts, zoo, timeSeries and plotting it with different functions i.e. plot.xts, plot.zoo. The only way to make it work was with function 'chartSeries' in the quantmod package

I'm stuck, but am sure it can be done I just don't understand how. I have data in an irregular timeseries. I want to be able to use stl to visualise the data (see seasonal parts etc), so I need to change to regular series of class ts (I think). I am using 2 zoo objects one is regular and the other is my irregular data. I am then merging to create the object I want but when I try to change

Hi I've been greatly enjoying the functionality the zoo package offers. However I've hit a snag with the following code > a <- zoo(matrix(1:10,5,2), 2001:2005) > a 2001 1 6 2002 2 7 2003 3 8 2004 4 9 2005 5 10 > a[I(2003), 2] 2003 8 > a[I(2003), 2] <- NA Error: subscript out of bounds > I've also tried > coredata(a[I(2003), 2])

You can just use the same code that I provided before but now use your dataset. Like this df <- read.csv(file="data2.csv",header=TRUE) dates <- as.Date(paste(df$year,"-01-01",sep="")) myXts <- xts(df,order.by=dates) head(myXts) #The last command "head(myXts)" shows you the first few rows of the xts object year cnsm incm wlth

Hi all, I am using the zoo package to plot time series. I have a problem with formatting the axes. my zoo object (z) looks like the following. c1 1992-01-10 21 1992-01-17 34 1992-01-24 33 1992-01-31 41 1992-02-07 39 1992-02-14 38 1992-02-21 37 1992-02-28 28 1992-03-06 33 1992-03-13 40

oky.. thank you very much to all of you On Sat, Sep 16, 2017 at 2:06 PM, Eric Berger <ericjberger at gmail.com> wrote: > You can just use the same code that I provided before but now use your > dataset. Like this > > df <- read.csv(file="data2.csv",header=TRUE) > dates <- as.Date(paste(df$year,"-01-01",sep="")) > myXts <-

Assuming the input data.frame, DF, is of the form shown reproducibly in the Note below, to convert the series to zoo or ts: library(zoo) # convert to zoo z <- read.zoo(DF) # convert to ts as.ts(z) # Note: DF <- structure(list(year = c(1980, 1981, 1982, 1983, 1984), cnsm = c(174, 175, 175, 172, 173), incm = c(53.4, 53.7, 53.5, 53.2, 53.3), with = c(60.3, 60.5, 60.2, 60.1, 60.7)),

Hi, is there any way to stop showing all messages which sometimes come while loading a packages? For example let say I want to load fBasics package. So I get following notices: > library(fBasics) Loading required package: MASS Loading required package: timeDate Loading required package: timeSeries Attaching package: 'timeSeries' The following object(s) are masked from

(I think this is being caused by the new methods package in RC.) In the RC (March 24) some of my packages are generating a Note Note: Method with signature "MySQLConnection#integer" chosen for function "coerce", target signature "TSMySQLConnection#integer". "dbObjectId#integer" would also be valid This is coming from a call to dbGetQuery() in package

I cannot figure out how to tune the minor tic marks on the date axis of a zoo plot. I read hundreds of CSV files from a zip archive transparently. The time/date strings I convert to POSIXct format, order them and then make a zoo object as there may be cases which have unequal time stamping. As follows: ###################### #Transform timestamps and reorder them dat <- transform(dat,