similar to: using time series

Hello Everyone, I would like to know if I can call one of the columns of a list, to use it as a variable in a function. Thanks in advance for any advice! Jana -- Jana Makedonska, B.Sc. Biology, Universite Paul Sabatier Toulouse III M.Sc. Paleontology, Paleobiology and Phylogeny, Universite de Montpellier II Ph.D. candidate in Physical Anthropology and Part-time lecturer Department of

Hi Everyone, I am working with the R function "dataEllipse". I plot the 95% confidence ellipses for several different samples in the same plot and I color-code the ellipse of each sample, but I do not know how to specify a different line pattern for each ellipse. I can only modify the pattern for all ellipses with the "lty" argument. Any help will be highly appreciated.

Hello list, After many hours I still fail to configure properly dovecot as the LDA with opensmtpd, for system users only. I don't want pop at all, jus lmtp and imap, but still haven't stripped it. Here is the info, thanks in advance for your response: ===== # doveconf -n # 2.2.14: /etc/dovecot/dovecot.conf # OS: OpenBSD 5.6 i386 auth_verbose = yes auth_verbose_passwords = yes

Dear R-users, I am a relatively new R user and I have a simple question. Is there a command attached to a R function, which performs matrix pooling? Thanks in advance, Jana -- -- "The world is full of mysteries. Life is one. The curious limitations of finite minds are another."(J.B.S. Haldane, The Causes of Evolution) Jana Makedonska, M.Sc. Ph.D. candidate/ Part-time lecturer

I am trying to do t-test to test whether the mean of one one column of the data frame is greater then another. please help me out. -- Arkajyoti Jana M. Phil/ 2nd semester Centre for Economic Studies and planning School of Social Sciences Jawaharlal Nehru University New Delhi-67 [[alternative HTML version deleted]]

i have time series as 1.3578511 0.5119648 1.3189847 0.9214787 1.2272616 4.9167998 1.2272616 1.2272616 0.8854192 2.3386331 1.6132899 0.2030302 0.8426226 1.2277843 NA 1.3189847 1.3578511 0.8530141 2.3386331 1.0541099 0.7747481 0.5764672 1.3189847 1.2160533 1.2272616 0.6715839 0.9651803 1.6132899 1.2006974 0.6875047 1.3245534 1.2006974 0.8221709 1.3101684 1.6132899 1.6132899 1.2006974 1.3189847

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 What are the best tools (models within R) for use in predicting stock market trading values? Currently I'm using the smooth.spline but are there any others used in practice? Do I find the mathematical formulations of R-functions somewhere (I now I could deduct it from the source code algorithms but ...)? Of the smooth.spline() for example? Thank

Hi to anyone who is willing to help, I have a csv. file which has 1999 horses as the rows and the age(in years) of the horse at each race as columns. Ive read this file into R and called it 'horses'. Im trying to find the longest break between each race in the horse's first year of racing. I already have a numeric called 'age.first' which is the age at which each horse had its

When I import a simple dataset, run LDA, and then try to use the model to forecast out of sample data, I get a forecast for the training set not the out of sample set. Others have posted this question, but I do not see the answers to their posts. Here is some sample data: Date Names v1 v2 v3 c1 1/31/2009 Name1 0.714472361 0.902552278 0.783353694 a 1/31/2009 Name2 0.512158919 0.770451596

dear members, I have a heteroscedastic time series which I want to transform to make it homoscedastic by a box cox transformation. I am using Otexts by RJ hyndman and George Athanopolous as my textbook. They discuss transformation and also say the fpp3 and the fable package automatically back transforms the point forecast. they also discuss the process which I find to be

hi i had created an indexer n searcher in php in 0.9.4 and it was workin fine. now i installed 0.9.5 but i m getting following error *Fatal error*: No matching function for overloaded 'Document_add_posting' in */home/jana/public_html/final_file_search/file_indexer.php* on line *48 *this is the fragment of my code where i m gettin the error.

Couldn't find this in the archives. I'm fitting a series of historical weather-related data, but would like to use the latest values to forecast. So let's say that I'm using 1970-2000 to fit a model (using fourier terms and arima/auto.arima), but now would like to use the last X values to predict tomorrow's weather. I'm at a loss. All the functions I've come across

hi all. i'm busy with some time series data, starting from an earlier period until the current day. i have created a time series forecast taking into account the entire data from the earlier date up until 2007, using the "forecast" package for R. i am comparing this forecasted data to the actual/ observed data (which starts from the earlier date up until the current day). my

Hello, In order to do a future forecast based on my past Time Series data sets (salespricesproduct1, salespricesproduct2, etc..), I used arima() functions with different parameter combinations which give the smallest AIC. I also used auto.arima() which finds the parameters with the smallest AICs. But unfortuanetly I could not get satisfactory forecast() results, even sometimes catastrophic

Hello, I have recognized a pretty annoying thing with my Samba-Server: My smb.conf is set, that deletet files go into the dir ".Papierkorb". It works well one one Client, but when the user deletes Files on the other client, a dir called "RECYCLER" appears with the file and some .ini files in it. Is there a way to solve this? Both clients are WinXP, I'm using Samba

My guess would be that if you inspect the output from ma(dat3[1:28], order=3) you will find some NAs in it. And then forecast() doesn't like NAs. But I can't check, because I can't find the ma() and forecast() functions. I assume they come from some package you installed; it would be helpful to say which package. -Don -- Don MacQueen Lawrence Livermore National Laboratory 7000

Hello Don, thank you for your response. I appreciate your help. I am using the forecast package, originally I found it following a forecasting example on bloggers.com https://www.r-bloggers.com/time-series-analysis-using-r-forecast-package/ And subsequently located the complete pdf https://cran.r-project.org/web/packages/forecast/forecast.pdf Since I created this practice data using the

Hi. I have to forecast a time series of a Internet network traffic bitrate. The data are in file http://www.forumaltavilla.it/joomla/datitesi/dati.datand the sampling time is every 0.05 seconds. Now, i want to use HoltWinters forecasting. This is my script. dt=1.58443823e-9 #0.05 seconds in years dati.ts=ts(scan("dati.dat"),start=0,deltat=dt) model=HoltWinters(dati.ts)

You are right that there are no NAs in the practice data. But there are NAs in the moving average data. To see this, break your work into two separate steps, like this: tnr.ma <- ma(dat3[1:28], order=3) TNR_moving_average <- forecast(tnr.ma, h=8) I think you will find that the warning comes from the second step. Print tnr.ma and you will see some NAs. -Don -- Don MacQueen Lawrence

Hello, I am very new to R and Time Series. I need some help including R codes about the following issues. I' ll really appreciate any number of answers... # I have a time series data composed of 24 values: myinput = c(n1,n2...,n24); # In order to make a forecasting a, I use the following codes result1 = arima(ts(myinput),order = c(p,d,q),seasonal = list(order=c(P,D,Q))) result2 =