similar to: shaded timeseries plot

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"))

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

I have a timeseries object, ts, and want to get the first date in the series into a string so I can concatenate it with a SQL query. Input and output are shown below. I must be missing something very basic, but I can't seem to pry the data ("2008-07-01") into a string variable. Any suggestions would be appreciated. Thank you, Andrew =====script: class(ts) (ts[1,0]) #returns

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?

Hi R users: When I try to merge or bind (cbind or rbind) two series, both with a "FinCenter" different that GMT, the result is "GMT" not the original financial center? What am I doing wrong? ###################################################### require(timeSeries) getRmetricsOptions("myFinCenter") setRmetricsOptions(myFinCenter = "America/Bogota")

I?m wondering which is the most efficient (time, than memory usage) way to obtain a multivariate time series object from a data frame (the easiest data structure to get data from a database trough RODBC). I have a starting point using timeSeries or xts library (these libraries can handle time zones), below you can find code to test. Merging parallelization (cbind) is something I?m thinking at

I have defined a daily timeseries for the 365 days of 2003 issuing: myts = ts(dati[,2:10],frequency=365,) > myts Time Series: Start = c(1, 1) End = c(1, 365) Frequency = 365 and mytime = as.POSIXct(strptime(as.character(dati[,1]),format="%Y-%m-%d")) contains the dates from "2003-01-01" to "2003-12-31" How can I combine mytime and myts in order to list

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

Hello there, I am trying to compute the 3 months return momentum with the timeSeries x.ts, which is just a subset of simple returns from a much bigger series, > class(x.ts) [1] "timeSeries" attr(,"package") [1] "timeSeries" > dim(x.ts) [1] 20 3 > x.ts[1:8,] GMT MS.US AAPL.US CA.FP 1996-01-31 0.15159065 -0.133391894

Dear R Helpers, Currently I'm working with the ts package of R and created a TimeSerie from pixels extracted from satellite imagery(S10 NDVI data, 10 daily composites). I'm trying to decompose this signal in different signals (seasonal and trend). When testing out the STL method is says => Only univariate timeseries are allowed, but the current Timeserie I'm using is univariate!

Hi folks - After upgrading to the latest version of Rmetrics, I can't read in data like I used to. Is anyone seeing the following? It seems to truncate the dates after I use "as.timeSeries". -John SP500<-read.table("SP500.csv",header=TRUE,sep=",") > head(SP500) Date Open High Low Close Volume 1 08/04/06 1280.26 1292.92

Hi, today, I noticed a problem in focus handling for shaded windows which is pretty easy to reproduce: - Disable "Click to focus" - Shade a window - Hover another window - Hover back to the window frame of the shaded window - Press Ctrl+Alt+S Expected behaviour would be that the shaded window is unshaded. What happens is that the last active window is shaded. I investigated this a

>> today, I noticed a problem in focus handling for shaded windows which is >> pretty easy to reproduce: >> >> - Disable "Click to focus" >> - Shade a window >> - Hover another window >> - Hover back to the window frame of the shaded window >> - Press Ctrl+Alt+S >> >> Expected behaviour would be that the shaded window is

Does anyone know why the following code hangs on the do.call, but works fine when I either comment out the require(timeSeries) or only do 2 levels of a for loop instead of 3? Thanks, Andrew Bierbryer require(timeSeries) num <- 1 x.list <- list() for ( i in 1:10 ) { for ( j in 1:20 ) { for ( k in 1:30 ) { x.list[[num]] <- cbind(num,10)

Hi, I'm new to R and tried a search but couldn't find what I was looking for. I have some data as a csv file with columns:- longditude latitude year month rainfall region What I need to do is produce a monthly time series for each region, where region is an integer id and where each time point in the series is the monthly average of rainfall for each location in that region. Basically

--- src/paint.c | 14 ++++++++++++-- 1 files changed, 12 insertions(+), 2 deletions(-) diff --git a/src/paint.c b/src/paint.c index 00cbf73..4ddd332 100644 --- a/src/paint.c +++ b/src/paint.c @@ -193,7 +193,12 @@ paintOutputRegion (CompScreen *screen, if (w->destroyed) continue; - if (!w->shaded) + if (w->shaded) + { + if (w->id < 2) + continue; + } + else

Hello, I would like to place shaded boxes on different areas of a phylogenetic tree plot. Since I can not determine how to find axes on the phylogenetic tree plot I am not able to place the box over certain areas. Below is example code for the shaded box that I have tried to use, and the first four values specify the position. rect(110, 400, 135, 450, col="grey",

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

Hello, i have following problem and I hope you can help me a little bit My dataframe looks like: df a m d typ value 1950 1 1 5 -4.1 1950 1 2 9 2.7 1950 1 3 3 -1.3 1950 1 4 5 -1.9 1950 1 5 2 0.2 1950 1 6 8 0.5 1951 1 1 4 1.3 .... It consists by daily observations from 1950- 2009. Now, I get with.... for (i

Hi I would like to plot the variation of some mean values with time, and have the standard deviation around the mean shaded on the plot. I could not find a way to have the shaded area on the curve with the default R commands, do I need a special package to do that? Or any idea of a way with the default R commands? Many thanks Thomas -- Thomas Loridan King's College email: thomas.loridan