similar to: Learning development concepts in R for newbie users

Hello R List, I seem to have a peculiar problem. When using time series data, I get the following error when running the acf and pacf function. Using the function acf(dtxts,plot= TRUE,xaxt = "n",col="red",na.action = na.omit) (where dtxts is a time series object created with package "xts" ) results in the error below. Error in na.omit.ts(as.ts(x)) : time series

Hi R users, I request members of the R community to consider filling a short survey regarding the use of R. The survey can be found at http://goo.gl/jw1ig Please accept my apologies for posting here for a non-technical reason. The data collected will be suitably analyzed and I'll post a link to the results in the coming weeks. Thank you all for your interest and for sharing your R usage

Hello All, I am trying to carry out variable reduction. I do not have information about the dependent variable, and have only the X variables as it were. In selecting variables I wish to keep, I have considered the following criteria. 1) Percentage of missing value in each column/variable 2) Variance of each variable, with a cut-off value. I recently came across Weka and found that there is an

HI R users, I would appreciate information/examples/suggestions on building GUIs for R applications. I am currently working on a project that would require the following functionalities : 1) Display a window to the user. Provide a function to scan local drive and choose dataset file. 2) Display the column names for the user to choose the dependent variable and the independent variables. 3) Fit

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Hi UseRs, I recently started working with the RGtk2 library. The documentation is comprehensive and I've tried learning from the examples in most Gtk tutorials (which have C code). This is a little problematic, but has helped quite a bit in getting me started. I would like to create a GUI for file selection, which then displays the column names from the selected file, and provides the user

Hi useRs, I would like to know what R users are employing to get their images/plots created in R, into Excel sheets. I am aware of the various packages (xlsReadWrite, RODBC) to get data frames into R, but I would like to copy images too. Thank you for any help in solving this problem. Regards, Harsh Singhal

Hello everybody, I've got a matrix called EUROPEDATA and I want to calculate the adf test statistic (part of the tseries package) on a rolling basis for window my.win on each column; i.e. each column of EUROPEDATA represents a particular variable; for the first column I calculate the adf test statistic for window my.win = 60 for example, roll forward one observation, calculate the adf

Hello useRs, I have a problem at hand which I'd think is fairly common amongst groups were R is being adopted for Analytics in place of SAS. Users would like to obtain results for logistic regression in R that they have become accustomed to in SAS. Towards this end, I was able to propose the Design package in R which contains many functions to extract the various metrics that SAS reports.

Hell R-list, At the cost of sounding far-fetched and almost incredulous, I would like to know if any R user is remotely considering the use of R on Mobile devices, and Android in particular. I really do not have an idea of the kind of definite incentives in terms of using R on Android, but having an analytical engine on a mobile phone would allow for micro statistics to be collected from the log

Hi All, I am trying to assemble a system that will allow me to work with large datasets (45-50 million rows, 300-400 columns) possibly amounting to 10GB + in size. I am aware that R 64 bit implementations on Linux boxes are suitable for such an exercise but I am looking for configurations that R users out there may have used in creating a high-end R system. Due to a lot of apprehensions that SAS

Dear R users/developers, I am posting on behalf of a friend who is looking for R developers. The requirements are : - Available to work/re-locate to Bangalore, India - Over 5 - 6 years of solid R experience is essential - The ideal candidate should have worked on regression modeling and predictive models - Experience using Big Data technologies (like Hadoop)

Dear Users, please help with the following DF test: ===== library(tseries) library(timeSeries) Y=c(3519,3803,4332,4251,4661,4811,4448,4451,4343,4067,4001,3934,3652,3768 ,4082,4101,4628,4898,4476,4728,4458,4004,4095,4056,3641,3966,4417,4367 ,4821,5190,4638,4904,4528,4383,4339,4327,3856,4072,4563,4561,4984,5316 ,4843,5383,4889,4681,4466,4463,4217,4322,4779,4988,5383,5591,5322,5404

I am not able to run Dickey-Fuller test. adf.test() function is not working. It is showing 'Error: could not find function "adf.test" Can any tell how to call "time series" library? -- Siddharth Arun, 4th Year Undergraduate student Industrial Engineering and Management, IIT Kharagpur [[alternative HTML version deleted]]

Hello everybody, I have a problem and would like to start with an example: library(snow) library(tseries) fn <- function(x) adf.test(x) clusterApply(cl=cl, x=x , fun=fn) R cannot find the function adf.test() because it is inside the function fn(). This problem does not occur when, for example, fn <- function(x) mean(x) holds. Therefore, I think the package tseries has to be put somehow

Hi List, I am trying to leverage my knowledge of R in trying to use it for tasks that may not make R the best choice for these tasks. I wish to automate a web scraping task, which requires a multi-step procedure: 1) log in to a website 2) Go to a particular page 3) From the drop down menu, click on a particular link 4) From the tabulated data presented, choose relevant information based on a

Short question: Is it possible to use statistical tests, like the Augmented Dickey-Fuller test, in functions with for-loops? If not, are there any alternative ways to scale measures? Detailed explanation: I am working with time-series, and I want to flag curves that are not stationary and which display pulses, trends, or level shifts. >df DATE ID VALUE2012-03-06 1

this command is used in tseries adf.test(x, alternative = c("stationary", "explosive"), k = trunc((length(x)-1)^(1/3))) this command apply adf test on data given in x .here general equatiuon that is, equation with constant and trend is used.if i did not include constant or trend in the equation and run the command then how i can run this command in tseries.

I have a question regarding the adf.test command in the tseries library. I have a vector of time series observations (2265 daily log prices for the OEX to be exact). I also have this same data in first-differenced form. I want to test both vectors individually for staionarity with an Augmented Dickey-Fuller test. I noticed when I use the adf.test command from the tseries library, the general

Hi, While doing the ADF test in R using the following command I am getting the error and the result.."> x.ct=ur.df(rev$REVENUE,start=1,end=length(rev$REVENUE),frequency=1) Error in ur.df(rev$REVENUE, start = 1, end = length(rev$REVENUE), frequency = 1) : unused argument(s) (start = 1, end = 4, frequency = 1) >