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Hello Every one I have data on Stock prices and I want to calculate the return on all the stocks and then replace all the stock prices with the returns can any one tell me how to do My data is in the format given below Date Stock1 Stock2 Stock3 01/01/2000 1 2 3 01/02/2000 5 6 7 01/03/2000 1 2 3 01/04/2000

---------- Forwarded message ---------- From: Akhil dua <akhil.dua.12@gmail.com> Date: Wed, Jul 4, 2012 at 10:33 AM Subject: To: r-help@r-project.org Hi everyone I have data on stock prices and market indices and I need to run a seperate regression of every stock on market so I want to write a "for loop" so that I wont have to write codes again and again to run the

Hello Every one I have data on Stock prices and I want to calculate the return on all the stocks and then replace all the stock prices with the returns can any one tell me how to do My data is in the format given below Date Stock1 Stock2 Stock3 01/01/2000 1 2 3 01/02/2000 5 6 7 01/03/2000 1 2 3 01/04/2000

Hi, I'm an R newbie and I've been struggling with a optimization problem for the past couple of days now. Here's the problem - I have a matrix of expected payouts from different stock option strategies. Each column in my matrix represents a different stock and each row represents the return to the strategy given a certain market move. So the rows are not a time series of percentage

Hi I'm getting the following errors while using the efficientPortfolio function even though I'm setting the target return to the mean of the TargetReturn I obtain from the portfolio object created by the feasiblePortfolio function. First Error: Error: targetReturn >= min(mu) is not TRUE Second Error: Error in .rquadprog(Dmat = args$Dmat, dvec = args$dvec, Amat = args$Amat, :

Hi everyone I have banking data set in long format with 4 columns.One of these columns is bank name which consist of 49 banks and I want the data for only 40 banks out of these 49 so can anyone help me on how to get this 40 banks data My data looks like Year Name totalliabilties assets 1990 a 90 10 1991 a 89 48 1992 a 87

Hi I have monthly data and the dates are in MM/YY Format I need to convert them into DD/MM/YY format by pasting 01 in place of DD to all the observations in my Year Column ex: Year Stock Prices 01/2000 1 02/2000 2 03/2000 3 I need to convert them to Year Stock Prices 01/01/2000 1 01/02/2000 2 01/03/2000

Hello Everyone I have the data long format and I want to draw the contour plot with it x1 x2 x3 0 1 2 0 2 1 0 3 5 1 1 4 1 2 2 1 3 3 when I am using contour(x1,x2,x3,col=heat.colors) or fill.contour its giving me an error that increasing x and y expected So please tell me what is the right function to draw contour when the data is not ordered and you cant order

Hi everyone, I have a time series data set and I want to fill my line plot of this time series with different colors e.g I want to fill portion related to 1995-1996 with blue , portion related to 1996-1997 with orange and then portion related to 1997-1998 with red can anyone please help me. [[alternative HTML version deleted]]

I'm tring the functions to check the cointegration of a matrix. I'm using **Phillips & Ouliaris Cointegration Test** The function in *tseries* package is **po.test** and **ca.po** in *urca* The results with **URCA** are: > ca.po(prices, demean='none') ######################################## # Phillips and Ouliaris Unit Root Test #

Hello everyone I am new to R I need to plot 3 indifference curve for the level 100, 200 and 300 my utility function is of the form u(x,y)=3x^2+2y I also need to draw contour line on it can any one please tell me how to do it???? [[alternative HTML version deleted]]

Dear all, ## I have 4 tables like this: satu <- array(c(5,15,20,68,29,54,84,119), dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black", "Brown", "Red", "Blond"))) dua <- array(c(50,105,30,8,29,25,84,9), dim=c(2,4), dimnames=list(c("Negative", "Positive"),

Dear R users I would like to group my barplot graph (see example on the R help link). The proposed R code, adding individual bars to the plot, looks really overwhelming. My specific dataset just consists of five groups and three different levels within each groups (the individual bars). The .txt file is read as matrix (horizontal: group, vertical: levels). The R trellis barchart (function

I have approximately 2.5 million rows from a number of sensor readings. Having plotted these, I can see a given pattern (say a spike in the amplitude away from the mean). I would now like to automate this procedure as we're expecting a great deal more data in the near future. Is there any package or function that will make this possible? Many thanks! I suppose, I could do something like:

Can't installe packag maDB or limma. Error is shown as Using R version 2.13.1, biocinstall version 2.8.4. Installing Bioconductor version 2.8 packages: Is there any other way to draw volcano plot ? Thanks [[alternative HTML version deleted]]

A sample of the data I have is: > head(sensor) logged_on accx accy accz compassx compassy compassz gyrox gyroy gyroz 1 1326561428000 -0.4602 0.8346 0.0936 0.145508 -0.350586 0.259766 59.617390 28.521740 59.617390 2 1326561428050 -0.4212 1.0452 0.1326 0.219727 -0.321289 0.241211 88.695656 27.478260 88.695656 3 1326561428100 -0.2496 1.3416 0.2886 0.214844 -0.326172

I have two xts objects, call them "a" and "b", and am trying to merge them... > class(a) [1] "xts" "zoo" > class(b) [1] "xts" "zoo" > head(a) 2010-04-01 7.6343 2010-04-02 7.6343 2010-04-03 7.5458 2010-04-04 7.4532 2010-04-05 7.4040 2010-04-06 7.3317 > head(b) 2010-04-01 568.80 2010-04-05 571.01 2010-04-06

-- jim knoble | jmknoble at pobox.com > On Apr 30, 2017, at 19:40, Darren Tucker <dtucker at zip.com.au> wrote: > >> On Mon, May 1, 2017 at 12:09 PM, Damien Miller <djm at mindrot.org> wrote: >> >> Hi, >> >> I just deleted SSHv1 support in OpenBSD and portable OpenSSH. There's >> probably a little dead code still to be expunged, but

> dput(sensor.sample) structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1, 1328566598.85, 1328565634.3, 1328566513.95, 1328565123.65, 1328565827.1, 1328566719.9, 1328565527.55, 1328565118.05, 1328565556.85, 1328565623.85, 1328565230.75, 1328566083.85, 1328566012.45, 1328566795.75, 1328565262.85, 1328566191.35, 1328565827.8, 1328566384.25, 1328565376.95, 1328566006.8,

Thanks to Joshua Wiley for turning me on to ggplot2. I am making a plot using this: p <- ggplot(dallas, aes(x = offense_hour)) + geom_bar() + coord_polar() Dallas is a data frame, and offense_hour is a column with chron objects from the chron library. In this case, the chron object was created with the times function. It is only a time (H:M:S) with no date attached. The plot shows up fine,