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Hallo I am not familiar with any of packages you use (except of MASS and ggplot2) and the code is too complicated without any hint where the error could come from and what is the message you get. I wonder if anybody would like to go through your whole code. 1. data seems to be read correctly ICUData <- read.csv(file = "ICUData.csv", stringsAsFactors = TRUE) ICUData.neuro <-

Dear Sir, Thanks for your mail and help. I got this error while trying to run your code. sbux1.z <- read.csv.zoo(u, FUN = as.yearmon, format = fmt) Error in read.table(file = file, header = header, sep = sep, quote = quote, : 'file' must be a character string or connection Thanks and Regards, Upananda Pani On Tue, Sep 19, 2017 at 4:31 PM, Upananda Pani <upananda.pani at

...ntaining any > amendment or variation. > - the sender insists on that the respective contract is concluded only > upon an express mutual agreement on all its aspects. > - the sender of this e-mail informs that he/she is not authorized to enter > into any contracts on behalf of the company except for cases in which > he/she is expressly authorized to do so in writing, and such authorization > or power of attorney is submitted to the recipient or the person > represented by the recipient, or the existence of such authorization is > known to the recipient of the person repr...

...part of the recipient containing any amendment or variation. - the sender insists on that the respective contract is concluded only upon an express mutual agreement on all its aspects. - the sender of this e-mail informs that he/she is not authorized to enter into any contracts on behalf of the company except for cases in which he/she is expressly authorized to do so in writing, and such authorization or power of attorney is submitted to the recipient or the person represented by the recipient, or the existence of such authorization is known to the recipient of the person represented by the recip...

I am sorry. On Wed, Jan 11, 2023 at 5:32 PM Eric Berger <ericjberger at gmail.com> wrote: > No code or data came through. > Please read the posting guidelines. > > > On Wed, Jan 11, 2023 at 1:38 PM Upananda Pani <upananda.pani at gmail.com> > wrote: > > > > Dear All, > > > > I am using roptest function of package "ROptEst" (Kohl

No code or data came through. Please read the posting guidelines. On Wed, Jan 11, 2023 at 1:38 PM Upananda Pani <upananda.pani at gmail.com> wrote: > > Dear All, > > I am using roptest function of package "ROptEst" (Kohl and Ruckdeschel > (2019)) to find out the ML, CvM-MD, and the RMX estimator and their > asymptotic confidence intervals. I am assuming 1-5% of

Dear All, I want to create a loop within a function r. The example follows: Box.test (lfut, lag = 1, type="Ljung") if i want to compute the Box.test for lag 1 to 10, I have to write manually change each time for different lag. So i wan to write a loop for the lag 1 to 10 and return the statistics for each lag. Is there any method to do this ? With regards, Upananda -- You may

Dear All, I have a dataset which contains date and 12 other countries data. I have extracted the data as xts object. I am not able to recall all the series in the Y axis. My data set looks like this index crepub finland france germany italy netherlands norway poland <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>

Dear All, I want to create a vector p and extract first 20 observations using subset function based on logical condition. My code is below p <- 0:100 I know i can extract the first 20 observations using the following command. q <- p[1:20] But I want to extract the first 20 observations using subset function which requires a logical condition. I am not able to frame the logical

Dear All, I am using roptest function of package "ROptEst" (Kohl and Ruckdeschel (2019)) to find out the ML, CvM-MD, and the RMX estimator and their asymptotic confidence intervals. I am assuming 1-5% of erroneous data for the RMX estimator. Then I am trying to Plot the data in the form of a histogram and add the three Gamma distribution densities with the estimated parameters and

Dear All, While i am trying convert data frame object to zoo object I am getting numeric(0) error in performance analytics package. The source code i am using from this website to learn r in finance: https://faculty.washington.edu/ezivot/econ424/returnCalculations.r # create zoo objects from data.frame objects dates.sbux = as.yearmon(sbux.df$Date, format="%m/%d/%Y") dates.msft =

Hi Thomas, Thanks for your help. I need to plot all other countries as well. Thanks for your time With sincere regards, Upananda On Tue, May 2, 2023 at 3:01?PM Thomas.Rose <Thomas.Rose at daad-alumni.de> wrote: > Dear Upananda, > > I see a misplaced bracket in your code, and there is no need in aes() to > call the dataframe explicitly. Does this work? > > ggplot(data =

Dear All, I have a time series daily data with date are stored ( %dd-%mm-%yy format ) from 22-01-20 to 03-08-21. In total I have 560 observations. I am using the following command to declare as a time series object. Here the the data set is 7 days a week. oil <- read_xlsx("crudefinal.xlsx") pricet=ts(oil$price, start = c(2020, 22), freq = 365)

?s 20:52 de 16/01/2023, Upananda Pani escreveu: > Hi Rui, > > Thank you so much for your help. As I have to fit a Markov Switching Model > using MSwM package. > > May I know whether i can convert from zoo object to a time series object. > > As I have to use several packages which uses ts so I am not able to decide > how to do it. > > Grateful to you for your

It's not clear what you want but ... On 02/05/2023 10:57, Upananda Pani wrote: > Dear All, > > I have a dataset which contains date and 12 other countries data. I > have extracted the data as xts object. > > I am not able to recall all the series in the Y axis. My data set > looks like this > > index crepub finland france germany italy netherlands norway poland >

Clang's CFG construction introduces NULL successors for infeasible paths. These are exposed via GraphTraits iterators, which is currently unhandled in LLVM code, e.g. in llvm::DFSPass(...) To reproduce: $ echo "int main() { return 0 ? 0 : 0; }" | clang -cc1 -analyze -analyzer-checker=debug.DumpDominators -x c - segfaults in llvm::DFSPass() The question is, should this be fixed

Dear All, Can you please guide me how to check the outliers in the data set in R. It would be great if you can give some examples of methods. With regards, Upananda -- You may delay, but time will not. Research Scholar alternative mail id: upani@iitkgp.ac.in Department of HSS, IIT KGP KGP [[alternative HTML version deleted]]

Dear All, I am facing problem with NA treatment in my financial time series data. # data reading aluminum = read.csv(file="alu.csv", header=T, sep=",") fut = aluminum [,2] spt = aluminum [,3] # Missing Value Treatment (Linear Interpolation) spt = interpNA(spt, method = c("linear")) fut = interpNA(fut, method = c("linear")) fut=fut[,1] spt =spt[,1]

How to optimize the for-loop to be reasonably fast for sample.size=100000000 ? You may want to change sample.size=1000 to have an idea what I am achieving. set.seed(143) A <- matrix(sample(0:1, sample.size, TRUE), ncol=10, dimnames=list(NULL, LETTERS[1:10])) B <- list() for(i in 1:10) { B[[i]] <- apply(combn(LETTERS[1:10], i), 2, function(x) { sum(apply(data.frame(A[,x]), 1,

Dear Members, Greetings! I would like to know how to create the lag variable for my data. # Load data and create time series object ---- oil <- read_xlsx("crudefinal.xlsx") pricet=ts(oil$price, start = c(2020, 22), frequency = 365) roilt=ts(diff(log(oil$price))*100,start=c(2020,22),freq=365) # Fit MSW model ---- roilt.lag0 =