similar to: shading line plot

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

---------- 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

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

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

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 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 regression... my data is in the format given below Date Stock1 Stock2 Stock3 Market 01/01/2000 1 2 3 4

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

Dear all, I have an R script that uses Rcpp, and I have been trying to parallelize it using mclapply (I tried with the multicore and the parallel library) Sometimes (not always, interestingly), the CPU use for each core drops, usually so that the total over all cores reaches 100%, i.e., as fast as if using just one single core fully. I tried my code directly from within emacs, and also using a

Hi All: I was looking for some help to code the equation of an ellipse in R, given I have a Bivariate Normal distribution (X,Y) with mean (m1,m2) and var-covariance matrix (var1,cov12,cov12,var2). Thanks Anamika [[alternative HTML version deleted]]

Hello, I have a following dataframe with many rows. data.frame(match.start=c(5,10,100,200),range.coordinates=c("1000-1050","1500-1555","5000-5050,6000-6180","100-150,200-260,600-900")) match.start range.coordinates 5 1000-1050 10 1500-1555 100 5000-5050,6000-6180 200

Hi, I recently got a bizarre message when running arules. It just said "Killed" and quit. Anyone know why this might have happened? I am running R on an AWS quad xl ubuntu instance. Here is some information, including dataset size and the parameters: parameter specification: confidence minval smax arem aval originalSupport support minlen maxlen 0.0003581251 0.1 1 none

I have a data frame called chemdata with this structure: > str(chemdata) 'data.frame': 14886 obs. of 4 variables: $ site : Factor w/ 148 levels "BC-0.5","BC-1",..: 104 145 126 115 114 128 124 2 3 3 ... $ sampdate: Date, format: "1996-12-27" "1996-08-22" ... $ param : Factor w/ 8 levels "As","Ca","Cl",..:

Are they the same with .RData being the newer format?? Thanks, ...Tao

Hi, I'm trying to user lmer function from lmerTest package because, if I understood correectly, it allows to make better inference than lmer method from lme4 package. However, whatever I do I keep getting this error: Error in lme4::lFormula(formula = mark ~ ssCount + sTime+ : rank of X = 1660 < ncol(X) = 1895 any ideas what could be a problem? thanks, Srecko [[alternative HTML

Hello r-help, I've been banging my head against the computer in an attempt to learn how to divide my matrix into segments by rows. I want to be able to return each segment as a newly named object. I've tried looking at the apply functions and creating a for loop but brain no work. Here's the basic starting objects that I believe would be needed to separate the matrix. mat <-

Dear R users, I am running simulations (1000), and in my simulation I am looking at specific sums. For example, if the sum is >=4 then count this, if say <3, then don't count, if the sum=3, then generate a random number from uniform distribution, if this number is say less than 0.5, then count this sum, if greater than 0.5, then don't count. I am having trouble with introducing this

Hi all: My OS is 32bit winxp,but I wanna install 64bit R2.14.1. >From the following website,it says "You can also go back and add 64-bit components to a 32-bit install, or vice versa" http://cran.r-project.org/bin/windows/rw-FAQ.html#Can-both-32_002d-and-64_002dbit-R-be-installed-on-the-same-machine_003f Does it mean that I can install and run 64bit R2.14.1 under 32bit

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]]

In the following data.frame there are 6 columns, but 7 are written to the CSV file. install.packages("pmlr") library(pmlr) data(enzymes) write.table(enzymes, sep=",", eol="\n",file="albert.csv")

Hi, I am trying to normalize some data. First I fitted a principal curve (using the LCPM package), but now I would like to apply a transformation so that the curve becomes a "straight diagonal line" on the plot. The data used to fit the curve would then be normalized by applying the same transformation to it. A simple solution could be to apply translations only (e.g., as done after a