similar to: Reg: ggplot error

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

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

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, Thanks a lot for your help. Would you please let me know if i want to read a csv file as zoo object from my local file rather than directly from the website, how to do that? library(zoo) u <- "https://faculty.washington.edu/ezivot/econ424/sbuxPrices.csv" fmt <- "%m/%d/%Y" With sincere regards, Upananda Pani On Wed, Sep 20, 2017 at 3:22 PM, PIKAL Petr

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

Hi Gabor's code works as expeceted without error. What is "u" in your case? Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Upananda > Pani > Sent: Wednesday, September 20, 2017 11:06 AM > To: Gabor Grothendieck <ggrothendieck at gmail.com> > Cc: r-help <r-help at r-project.org> >

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, 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 =

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 >

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)

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 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, 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]

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 =

?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

Hi All, I am new to this forum. I have just started learning R. When i use plot(decompose(x)), i am getting the title " Additive time series decomposition". How to make this title off and change to some other title. Any help regarding this is highly appreciated. With sincerer regards, Upananda -- View this message in context:

Dear community Using after_stat() I was able to visualise ggplot with standard deviations instead of a confidence interval as seen in the R help. p1<-ggplot(data = MS1, aes(x= Jahr, y= QI_A,color=Bio, linetype=Bio)) + geom_smooth(aes(fill=Bio, ymax=after_stat(y+se*sqrt(length(y))), ymin=after_stat(y-se*sqrt(y))) , method = "lm" , formula = y ~ x +

Hi! This is probably completely off base, but your ymin and y max setup lines are different. One uses sqrt(y), while the second uses sqrt(length(y)). Could that play a part, please? Thank you Erin Hodgess, PhD mailto: erinm.hodgess at gmail.com On Sun, Aug 11, 2024 at 10:10?AM SIBYLLE ST?CKLI via R-help < r-help at r-project.org> wrote: > Dear community > > > > Using

G'day Thomas, On Sat, 12 Aug 2023 04:17:42 +0000 (UTC) Thomas Subia via R-help <r-help at r-project.org> wrote: > Here is my reproducible code for a graph using geom_smooth The call "library(tidyverse)" was missing. :) > I'd like to add a black boundary around the shaded area. I suspect > this can be done with geom_ribbon but I cannot figure this out. Some >