similar to: is there a packge or code to generate markov chains in R

I'm new to using sql so I'm having difficulties (and worries) in adding a new column of data to a table I have. Its a very large file (around 5 Gb) which is why I'm having to use SQL I have a table with variables ID, IDrec and IDdes and the variables IDrec and IDdes give a mapping of some other values but the other values are associated with the ID variable (think of IDrec and IDdes

Hello all, I don't understand why this won't work. I have entered: WriteXLS(alldata,'test.xls') and I get this error message: Error in get(x, envir = envir) : variable names are limited to 256 bytes. My variable names are not very long, and are accepted by write.csv. alldata is a list containing 4 dataframes, with each dataframe having the the same variable names, which are:

My mistake sir. I was literally engrossed in my stupid logic, and while doing so, overlooked the simple and very effective solution you had offered. Sorry once again sir and will certainly try to be very careful in future. Thanks again and have a great weekend sir. Regards Amelia --- On Fri, 7/1/11, Petr PIKAL <petr.pikal@precheza.cz> wrote: From: Petr PIKAL

Dear R helpers I have following data stocks <- c("ABC", "DEF", "GHI", "JKL") prices_df <- data.frame(ABC = c(17,24,15,22,16,22,17,22,15,19),                                          DEF = c(22,28,20,20,28,26,29,18,24,21),                                           GHI = c(32,27,32,36,37,37,34,23,25,32),                                          

Dear sir, I am extremely sorry for messing up the logic asking for help w.r.t. my earlier mails   I have tried to explain below what I am looking for.     I have a database (say, currency_rates) storing datewise currency exchange rates with some base currency XYZ.   currency_rates <- data.frame(date = c("12/31/2010", "12/30/2010", "12/29/2010",

Dear R-help forum members, Suppose I have a data-frame having two variables and single data for each of them, as described below. variable_1           variable_2         10                          20 I have written a function, say, 'fun' which uses input 10 and 20 and gives me desired result. fun = function(X, Y)          {          X + Y              #( I am just giving an example of

two OutputsHello! I am Amelia from Auckland and work for a bank. I am new to R and I have started my venture with R just a couple of weeks back and this is my first mail to R-forum. I need following assistance Suppose my R code generates following outputs as > X [[1]] [1] 40 [[2]] [1] 80    160 [[3]] [1] 160   80  400 > Y [[1]] [1] 10 [[2]] [1] 10    30 [[3]] [1] 5  18  20

Dear R forum helpers, I am extremely sorry for the receipt of my incomplete mail yesterday. There was connectivity problem at my end and so I chose to send the mail through my cell, only to realize today about the way mail has been transmitted. I am again sending my complete mail through regular channel and sincerely apologize for the inconvenience caused. ## Here is my actual mail Dear R

Hello, I guess a have a very simple problem though up to now couldn't solve it: I want to plot two datasets wihtin one plot like plot(x) provides it for one dataset(type="b" that is: points connected by lines). Example data 'x': Befragung1 Befragung2 Befragung3 Geschlecht 2.25 2.34 1.78 weiblich 1.34 3.45 2.23 maennlich The two rows of the example above

Hi, i get error after using a data.frame with subset for "sqlSave". What can i do ? It seems that lines like this in a data.frame structure are after subset deleted and cause the error ? - attr(*, "variable.labels")= Named chr "CUSID" "Welle" "Arbeitgeberfavorit1" "Aktuelle Bewerbungssituation" ... ..- attr(*, "names")=

Hi, Teresa, This looks really useful. It seems like this general infrastructure could be useful for diagnosing places where we have a lot of false sharing too. This could be between cores, sockets, or devices. Looking forward, especially with HMM and support under Linux for transparent unified memory between CPUs and accelerators, I anticipate we'll end up looking for places where some

On Sat, Jul 4, 2020 at 11:28 PM Wenlei He <wenlei at fb.com> wrote: > This sounds very useful. We’ve improved and used memoro > <https://www.youtube.com/watch?v=fm47XsATelI> for memory profiling and > analysis, and we are also looking for ways to leverage memory profile for > PGO/FDO. I think having a common profiling infrastructure for analysis > tooling as well as

On Wed, Jul 8, 2020 at 6:30 PM Kostya Serebryany <kcc at google.com> wrote: > > > On Wed, Jun 24, 2020 at 4:58 PM Teresa Johnson <tejohnson at google.com> > wrote: > >> Hi all, >> >> I've included an RFC for a heap profiler design I've been working on in >> conjunction with David Li. Please send any questions or feedback. For >>

Hello, I have some data that has dates in the form 27.02.37. I convert them to a date object as follows: as.Date(data$date,format="%d.%m.%y") But this gives me years such as 2037 when I would like them to be 1937. I thought of trying to take off some time i.e. as.Date(camCD$DoB,format="%d.%m.%y") - 100*365 But that doesn't seem to work out correctly. Any ideas how to

Hi, I want to impute a data set multiple times with Amelia, but the data set is large so it takes a long time. As a result, I'm trying to run the multiple imputation with parallel processors in Windows, but am having trouble. Here is a quick example: ###### library(foreach) library(doSNOW) registerDoSNOW(makeCluster(4, type = "SOCK")) getDoParWorkers() getDoParName()

I am fairly new at using R/programming in general so I apologize if I am leaving crucial parts of the puzzle out, but here goes. First and foremost this is the error I am receiving: Error in muPriors[priors[, 1:2]] <- priors[, 3] : NAs are not allowed in subscripted assignments This occurs only when I am using observational priors and some number of nominal variables, it does not

Hello R-sig-debian and (hopefully) Dirk: On Debian wheezy, I have the R packaging that CRAN (you) provide. I run into a little trouble while trying to fiddle with alternative BLAS. I know you and I went around on this last year and I think perhaps I've found something wrong in the framework, or I've just done something wrong. I installed the packages openblas-base and openblas-dev, and

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

Hello I do not think I have fully grasped how to use Amelia to deal with missing data. For instance, suppose I have a data.frame variable with 4 columns (year, mon, ssn, dev) = (year, month, measurements, standard deviation of the measurement). Of course, there are some random missing values on columns 3 and 4. The measurements are an almost periodic time-series contaminated by noise.

Colleagues, I have started working with Amelia, with the aim of imputing missing data for time-series data. Although I have succeeded in getting Amelia to perform the imputation, I have not found any documentation describing how Amelia imputes time-series data. I have read the basic Amelia documentation, but it does not address how time-series data are imputed. The documentation describes