similar to: Working with daily data

Hello, We are having the HPUX 11i as our OS platform. We are trying to establish SSH connection in the same machine to the other user. The idrsa.pub is generated using ssh-keygen and the same is copied to the remote user to the file authorized_keys. Also restarted the server. Now when I issue the command, ssh loginname at ipaddress, the expected result is it should not prompt for the

Hello, I am a new user of R. I am coming from SAS and do statistics on stock market data, economic data, and social data. My question is this: How can you get the mean, standard dev, etc. of a variable based on a conditional statement on either the same variable or a different variable in the same data set? So if I had the closing prices of the S&P from 01/01/1990-12/31/1990, how could I get

R function lm(response ~ term) allows me to run a linear regression on a single response vector. For example, I have recent one year historical prices for a stock and S&P index. I can run regression of the stock prices (as response vector) against the S&P index prices (as term vector). Now assume I have 1000 stocks to run the above regressions (against the same S&P index prices).

Hi I have created the following plot over the empirical returns.. What I now want to do is to overlay a curve/line with the normal density as a comparison of the two. Does anyone know how to do this? (NB the last two lines are the problem, and are wrong, I know). Thank you in advance! Rikke http://r.789695.n4.nabble.com/file/n3768783/S%26P_500_spot_and_return_2010.csv

Hi R users,   Thanks in advance.   I am using R 2.12.0 on Windows XP.   May I request you to assist me in the following please.   1. I am getting error while downloading quote data from yahoo finance.   The example code is below (taken from tseries help):   library(tseries)   con <- url("http://quote.yahoo.com") if(!inherits(try(open(con), silent = TRUE), "try-error")) {  

Hi R Helpers, I recently tried to take advantage of the ability to download all the tickers in the S&P 500 using the functionality of tidyquant, but it threw an error. For summary, the set of commands that I ran was library(tidyquant) tq_index_options() tq_index("SP500") sessionInfo() R feedback including error message and sessionInfo are provided below. Guidance would be

Hi RUsers, Suppose I want to see the data on the website url <- "http://www.nseindia.com/content/indices/ind_histvalues.htm" for the index "S&P CNX NIFTY" for dates "FromDate"="01-11-2010","ToDate"="02-11-2010" then read the html table from the page using readHTMLtable() I am using this code webpage <-

Hi all R-Experts, I'm facing one problem in yahoo data downloading. I'm suing Windows XP, R 2.2.0, and i'm using yahoo.get.hist.quote function to download data. I need 500 companies of S&P index daily 'closing price' data for last ten years. My questions are: 1) I have all the ticker names of S&P 500 companies in a .csv format. I'm reading those names in R and

Hi RUsers, Suppose I want to see the data on the website url <- "http://www.nseindia.com/content/indices/ind_histvalues.htm" for the index "S&P CNX NIFTY" for dates "FromDate"="01-11-2010","ToDate"="02-11-2010" then read the html table from the page using readHTMLtable() I am using this code webpage <-

Hi All, I have a data set of daily measurements of river flow. I would like to create a "ts" object from this data. Here's a sample data set: date <- as.Date(c(1:300), format="%Y") year=as.numeric(format(date, format = "%Y")) month=as.numeric(format(date, format = "%m")) julianday=as.numeric(format(date, format = "%j"))

I have 2 zoo objects - 1) Interest rate spread between 10-YR-US-Treasury and 2-YR-US-Treasury (object name = sprd) 2) S&P 500 index (object name = spy) > str(spy) ?zoo? series from 1976-06-01 to 2011-03-31 Data: num [1:8791] 99.8 100.2 100.1 99.2 98.6 ... Index: Class 'Date' num [1:8791] 2343 2344 2345 2346 2349 ... > str(sprd) ?zoo? series from 1976-06-01 to 2011-03-31

I have some daily data and would like to apply some of the time series functions to it. I have read various notes in the help archive on this, the latest I found suggested that I need to use the irts class (Irregularly spaced time series) for daily data since a year does not divide into an integer number of days. I see why I would have to do that if I have gaps (e.g. only data on weekdays) but

Dear all, Finally, I made it, my RPostgreSQL works. After working through some tutorials, i was able to plot, get and replace several timeseries. Still I miss the opportunity (syntax) to add data. Most tutorials are about: "Download some S&P data from Yahoo and play around a little". What I want to do is, add data to an existing timeseries. Is there a possibility to add data

Hi, I have a bunch of irregularly spaced xts time series (with a POSIX index), and I'm trying to write a function that fillls the missing days. Using a solution suggested by Gabor Grothendieck for zoo, I wrote the following: # FD: Fill missing days FD<-function(ser) {rng<-range(time(ser)) > temp<-merge(ser,xts(,seq(rng[1],rng[2],"day"))) >

Hello R users, I'm a newby to R (and programming software at large) and I would need some help to sum up event data at discreet time and irregular time interval into a hourly frequency. Here is an example of my time series frame (irregular time-serie object - irts in the tseries package): time value 2008-12-19 19:11:03 GMT 1 2008-12-19 19:12:00 GMT 0 2008-12-19

Dear R-users I need to calibrate kappa, rho, eta, theta, v0 in the following code, see below. However when I run it, I get: y <- function(kappahat, rhohat, etahat, thetahat, v0hat) {sum(difference(k, t, S0, X, r, implvol, q, kappahat, rhohat, etahat, thetahat, v0hat)^2)} > nlminb(start=list(kappa, rho, eta, theta, v0), objective = y, lower =lb, > upper =ub) Error in dots[[1L]][[1L]] :

I make quite a lot of use of irregular time-series, and had already spent a bit of time writing an 'its' class when the 'irts' class was released via the package 'tseries'. I have experimented with the 'irts' class, and have some practical issues with its use. In some applications of irregular time-series (in my case these are financial and econometric) there are

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

Hi R-list, I'm working with irregular time series (time series of climate data, daily data 365/6 days a year) and would like to create regular time series from them ( irts e.g. Rain <- irts(as.POSIXct(Climate[,1]),Climate[,5]) to ts e.g. test <- ts(x, start=c(1997,1), frequency=365) ) such that I can find where the gaps (lacking temperature data, ...) are and try

Hi R-users: How can I format a daily time serie with ts function so the plot of the time shows the date right (dd/mm/yy) or yy.xxxx ? Excerp of the database: FECHA TRM 1 01/01/2000 1873.77 2 02/01/2000 1873.77 3 03/01/2000 1873.77 4 04/01/2000 1874.35 5 05/01/2000 1895.97 . . . 1397 10/11/2003 2843.82 1398 11/11/2003 2840.41 1399 12/11/2003 2840.41 1400 13/11/2003