similar to: Testing Specific Hypothesis

Hi All! I have been messing around with this problem for about a week but to no avail! The following data has been cut down in order to make my question reproducible. The alldat data frame includes 2 columns: 1 date column and 1 factor column (equity names)).

Hi, I have what I think is an easy question. I have a data frame, called stockdata, of stock prices that looks like this: date ticker close 1 01/02/1998 GE 24.667 2 01/05/1998 GE 25.104 3 01/06/1998 GE 24.771 4 01/07/1998 GE 24.979 5 01/08/1998 GE 24.750 6 01/02/1998 HIT 71.125 7 01/05/1998 HIT 72.313

I fit the model fit<-lm(thresh~cond*Ne) where thresh is the reponse cond is a factor with levels a, b, and c Ne is a continuous indep var I think of this full model as having three lines: thresh as a function of Ne for each condition. Thus we have slopea, slopeb, slopec, inta, intb, intc. lm output my params ------------------------- (Intercept) inta condb intb - inta condc

windows 7, R 2.12 I am trying to run a piecewise linear regression with a single knot, i.e. a regression composed of two straight lines where the two lines intersect at an x value given by the variable knot. I wish to estimate the slope of both lines, the value of knot, the x value where the two lines intersect, and an intercept. I am using the nls code below, and get the following error

Hi, I have a client connected to the ''net through 3 ISP''s. Have set up a Linux box to do routing and load sharing for the 3 connections. A fourth interface is connected to the LAN with private IP addresses. Am using iptables to SNAT traffic to the appropriate IP depending on the interface the packet gets routed onto. The setup looks something like this: Interface IP

Hello All, I've been getting an error using rsync that I've been trying to track down the cause of, but haven't been able to solve yet. When I try to connect to a remote rsync deamon, using a double colon address like 192.168.0.2::classes to copy files in either direction, I get this error after a timeout. @ERROR: chroot failed rsync: connection unexpectedly closed (128 bytes

Dear list, I encounter an error when I try to use ddply to generate means as follows: fun3<-structure(list(sector = structure(list(gics_sector_name = c("Financials", "Financials", "Materials", "Materials")), .Names = "gics_sector_name", row.names = structure(c("UBSN VX Equity", "LLOY LN Equity", "AI FP Equity",

Hi All, This is my first post ... I *HAD* been trying to get RHEL AS 4 onto this Dell PE 6400/700, but it just wouldn't go without some weird tweaking. I am VERY happy to say that CentOS 4.4 installed without a hitch! NICELY done folks! The only real issue for me is that the machine fails to reboot or shutdown correctly. It requires physical interaction with the power switch,

Basic question but still learning .... How do I plot two lines (f$equity and f$bh.equity) on one of the three graphs under mfrow ? I tried putting brackets around the first plot and lines command but that didn't work. par(mfrow=c(3,1)) {plot(f$Date,f$equity, col="blue", type="l", main="equity") lines(f$bh.equity, col="gray")} plot(f$Date,f$indicator,

Hi John: Thanks! Below is the data using your suggestion. I used "ggplot" to make a graph. I am not too happy with it. I am looking for something simpler and cleaner. Plot is attached. I also tried "lattice" package, but nothing got plotted with "xyplot" command, because it is looking for a numeric variable on x-axis. ggplot(TrialData4, aes(x=Income, y=Percent,

Btw, I think "lattice" graphics will provide a better solution than "ggplot", because it puts appropriate (space saving) markers on the axes and does axes labels well. However, I cannot figure out how to do it in "lattice". On Thu, 6 Jul 2023 at 15:11, Anupam Tyagi <anuptyagi at gmail.com> wrote: > Hi John: > > Thanks! Below is the data using your

Hi, Can anyone shed any light on why "reaper" (whilst seemingly working re restarting my mongrel ruby process) does not pick up changes to my application? (e.g. changing a title in a view for example). It''s like the "mongrel_rails start etc..." is just restarting the current process but ignoring the new details re where the new application directory is. That is

On Thu, 6 Jul 2023 at 15:21, Anupam Tyagi <anuptyagi at gmail.com> wrote: > > Btw, I think "lattice" graphics will provide a better solution than > "ggplot", because it puts appropriate (space saving) markers on the axes > and does axes labels well. However, I cannot figure out how to do it in > "lattice". You will need to convert Income to a

Hallo Anupam I do not see much difference in ggplot or lattice, they seems to me provide almost identical results when removing theme part from ggplot. library(ggplot2) library(lattice) ggplot(TrialData4, aes(x=Income, y=Percent, group=Measure)) + geom_point() + geom_line() + facet_wrap(~Measure) xyplot(Percent ~ Income | Measure, TrialData4, type = "o", pch = 16, as.table =

Thanks! You are correct, the graphs look very similar, except ggplot is scaling the text font to make it more readable. Is there a way to scale down the x-axis labels, so they are readable? On Fri, 7 Jul 2023 at 12:02, PIKAL Petr <petr.pikal at precheza.cz> wrote: > Hallo Anupam > > I do not see much difference in ggplot or lattice, they seems to me > provide almost identical

I am using R 0.49 and I did not see this in the archives: Given sum() defaults to na.rm = FALSE, should both of these results be NA? > sum(c(1,NA)) [1] NA > sum(c(NA,1)) [1] 0 -- Richard Lammers Phone: (603) 862-4699 Complex System Research Center Fax: (603) 862-0188 University of New Hampshire email: Richard.Lammers at unh.edu Durham, NH 03824 (USA)

Anupa, I think your best bet with your data would be to tidy it up in Excel, read it into R using something like the readxl package and then supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where *mydata* is your data. Copy the output and paste it here. On Thu, 29 Jun 2023

Folks, I have a matrix of historicalReturns, where entry (i, j) is the daily return corresponding to date i and equity j. I also have a matrix startOffset, where entry (1, k) is the row offset in historicalReturns where I entered into equity k. So we have that NCOL(startOffset) = NCOL(historicalReturns). Now I would like compute for each column in historicalReturns, the cumulative return

Hi, Complete newbie to R here. Just getting started reading manuals and playing with data. I've managed to successfully get my *.csv files into R, however I have to use header=FALSE because the real header starts in line #2. The file format looks like: PORTFOLIO EQUITY TABLE TRADE,MARK-SYS,DATE/TIME,PL/SIZE,PS METHOD,POS SIZE,POS PL,DRAWDOWN,DRAWDOWN(%),EQUITY 1,1,1/8/2004 12:57:00

Hi everybody, I'm working on the very messy data, I have tried to clean it up in SAS and SAS/IML but there is not enough info on how to handle certain things in SAS so I have turned to R. The thing itself should be rather simple, so i was wondering if someone could help me out. The original .csv has ([1] 7138 6338 ) dimensions with funds with the corresponding dates and observations for each