similar to: loop for regression

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 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

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

RHEL 6 installed R version 3.2.3 from EPEL installed Start R and use the following command, but got warnings! install.packages("rstan", dependencies = TRUE, repos = "http://cran.r-project.org/") ... g++ -m64 -shared -L/usr/lib64/R/lib -L/usr/local/lib64 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -L/usr/lib64/R/lib -lRlapack -L/usr/lib64/R/lib -lRblas -lgfortran -lm

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]]

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, How do you subset a dataframe so that you only have columns: 1. that contain one or more NAs? 2. that contain factors with greater than or equal to 32 levels? How do you remove from a dataframe columns** 3. with one or more NA's? 4. that contain factors with greater than or equal to 32 levels? ** I know how to remove columns at a basic level but I am trying

Dear R-devel: The Cluster administrators at KU got enthusiastic about testing R-3.2.2 with Intel MKL when I asked for some BLAS integration. Below I forward a performance report, which is encouraging, and thought you would like to know the numbers. Appears to my untrained eye there are some extraordinary speedups on Cholesky decomposition, determinants, and matrix inversion. They had

On 27 April 2017 at 12:01, Johannes Ranke wrote: | | > so it seems to me this must affect all packages in Debian sid that were | > built before the release of R 3.4.0! | | or rather before 14 April 2017, which is when R from revision r72510 was | uploaded to sid as pre-release candidate. Another example with KernSmooth: > library(KernSmooth) KernSmooth 2.23 loaded Copyright

I've created a data frame in R, but in order to clean up some of the data, I need to set certain variable observations equal to the value of their previous observation (it would be conditional, but that part's less important right now). In Stata, I would simply set var = var[_n-1] in those cases. What is the R equivalent? [[alternative HTML version deleted]]

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]]

Am Dienstag, 25. April 2017, 11:21:31 schrieb Dirk Eddelbuettel: > On 25 April 2017 at 16:11, Johannes Ranke wrote: > | This looks similar to what I got this morning when I tested my > | (unreleased) > | backport of R 3.4.0 to Debian jessie. My test was > | > | library(MASS) > | example(rlm) > | > | and there was an object that was not found. I am on a train on the way

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, :

Thanks very much, Dirk! I gave that a try and got the following: pi at raspberrypi:~ $ sudo apt-get install r-cran-car Reading package lists... Done Building dependency tree Reading state information... Done Some packages could not be installed. This may mean that you have requested an impossible situation or if you are using the unstable distribution that some required packages have not yet been

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"),

Hello all, I have data in the form of a table: X Y1 Y2 0.1 3 2 0.2 2 1 And I would like to transform in the form: X Y 0.1 Y1 0.1 Y1 0.1 Y1 0.1 Y2 0.1 Y2 0.2 Y1 0.2 Y1 0.2 Y2 Any ideas how? Thanks in advance, IOanna [[alternative HTML version deleted]]

Hi, apparently you are using the backport of R 3.4.2, which provides r-api-3.4. With this backport installed, you cannot use the binary packages from the stretch archive. > | The following packages have unmet dependencies: > | r-cran-car : Depends: r-api-3 > | > | Depends: r-cran-pbkrtest but it is not going to be installed > | Depends: