Re: [R] Incremental

Hello, You have to convert y1 to class "Date" first, then do date arithmetic. The complete code would be dat<-read.table(text=" y1, flag 24-01-2016,S 24-02-2016,R 24-03-2016,X 24-04-2016,H 24-01-2016,S 24-11-2016,R 24-10-2016,R 24-02-2016,X 24-01-2016,H 24-11-2016,S 24-02-2016,R 24-10-2016,X

Re: [R] Incremental

Thank you Rui, It Worked! How about if the first variable is date format? Like the following dat<-read.table(text=" y1, flag 24-01-2016,S 24-02-2016,R 24-03-2016,X 24-04-2016,H 24-01-2016,S 24-11-2016,R 24-10-2016,R 24-02-2016,X 24-01-2016,H 24-11-2016,S 24-02-2016,R 24-10-2016,X 24-03-2016,H

Re: [R] Incremental

Hello, You must run the code to create x1 first, part 1), then part 2). I've tested with your data and all went well, the result is the following. > dput(dat) structure(list(y1 = c(39958L, 40058L, 40105L, 40294L, 40332L, 40471L, 40493L, 40533L, 40718L, 40771L, 40829L, 40892L, 41056L, 41110L,

Re: [R] Incremental

Rui, Thank You! the second one gave me NULL. dat$z2 <- unlist(tapply(dat$y1, dat$x1, function(y) y - y[1])) dat$z2 NULL On Wed, Oct 12, 2016 at 3:34 PM, Rui Barradas wrote: > Hello, > > Seems simple: > > > # 1) > dat$x1 <- cumsum(dat$flag == "S") > > # 2) > dat$z2 <-

Re: [R] Incremental

Hello, Seems simple: # 1) dat$x1 <- cumsum(dat$flag == "S") # 2) dat$z2 <- unlist(tapply(dat$y1, dat$x1, function(y) y - y[1])) Hope this helps, Rui Barradas Em 12-10-2016 21:15, Val escreveu: Hi all, I have a data set like dat<-read.table(text=" y1, flag 39958,S 40058,R 40105,X 40294,H

[R] Incremental

Hi all, I have a data set like dat<-read.table(text=" y1, flag 39958,S 40058,R 40105,X 40294,H 40332,S 40471,R 40493,R 40533,X 40718,H 40771,S 40829,R 40892,X 41056,H 41110,S 41160,R 41222,R 41250,R 41289,R 41324,X 41355,R 41415,X 41562,X 41562,H 41586,S ",sep=",",header=TRUE) First sort the

[R] Incremental Sparse Bridge PLS algorithm (iSB-PLS)

I'm reading the paper Predictive modeling with high-dimensional data streams: an on-line variable selection approach, from McWilliams and Montana, which introduces an interesting algorithm to dynamically select variables in high dimensional data streams. Does anyone know if this (or a similar

Re: [R] Incremental ReadLines

Dunlap Cc: r-help@r-project.org Subject: Re: [R] Incremental ReadLines Hi Bill, Thank you so much for your suggestions. I will try and alter my code. Regarding the even shorter solution outside the loop it looks good but my problem is that not all observations have

Re: [R] Incremental ReadLines

Hi there, I am having a similar problem with reading in a large text file with around 550.000 observations with each 10 to 100 lines of description. I am trying to parse it in R but I have troubles with the size of the file. It seems like it is slowing down dramatically at some point. I would be

Re: [R] Incremental ReadLines

Date: Wed, 13 Apr 2011 10:57:58 -0700 From: frederikl...@gmail.com To: r-help@r-project.org Subject: Re: [R] Incremental ReadLines Hi there, I am having a similar problem with reading in a large text file with around 550.000 observations

Re: [R] Incremental ReadLines

-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Freds Sent: Wednesday, April 13, 2011 10:58 AM To: r-help@r-project.org Subject: Re: [R] Incremental ReadLines Hi there, I am having a similar problem with reading in a large text file with around 550.000

Re: [R] Incremental ReadLines

: Re: [R] Incremental ReadLines Hi there, I am having a similar problem with reading in a large text file with around 550.000 observations with each 10 to 100 lines of description. I am trying to parse it in R but I have troubles with the size of the file. It seems like it is slowing

Re: [R] Incremental ReadLines

- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Freds Sent: Wednesday, April 13, 2011 10:58 AM To: r-help@r-project.org Subject: Re: [R] Incremental ReadLines Hi there, I am having a similar problem with reading in a large text file

Re: [R] Incremental ReadLines

Date: Thu, 14 Apr 2011 11:57:40 -0400 Subject: Re: [R] Incremental ReadLines From: frederikl...@gmail.com To: marchy...@hotmail.com CC: r-help@r-project.org Hi Mike, Thanks for your comment. I must admit that I am very new to R and although

Re: [R] Incremental ReadLines

[see below] From: Frederik Lang [mailto:frederikl...@gmail.com] Sent: Thursday, April 14, 2011 12:56 PM To: William Dunlap Cc: r-help@r-project.org Subject: Re: [R] Incremental ReadLines Hi Bill, Thank you so much for your suggestions. I will try and alter my code

[R] incremental learning for LOESS time series model

Hi All, I am currently working on some time series data, I know I can use LOESS/ARIMA model. The data is written to a vector whose length is 1000, which is a queue, updating every 15 minutes, Thus the old data will pop out while the new data push in the vector. I can rerun the

Re: [R] Incremental ReadLines

Gene, You might want to look at function read.csv.ffdf from package ff which can read large csv-files into a ffdf object. That's kind of data.frame which is stored on disk resp. in the file-system-cache. Once you subscript part of it, you get a regular data.frame. Jens Oehlschlägel --

Re: [R] Incremental ReadLines

If the headers all start with the same letter, A say, and the data only contain numbers on their lines then just use read.table(..., comment = A) On Mon, Nov 2, 2009 at 2:03 PM, Gene Leynes gleyne...@gmail.com wrote: I've been trying to figure out how to read in a large file for a few days

[R] Incremental ReadLines

I've been trying to figure out how to read in a large file for a few days now, and after extensive research I'm still not sure what to do. I have a large comma delimited text file that contains 59 fields in each record. There is also a header every 121 records This function works well for

Re: [R] Incremental ReadLines

On 11/2/2009 2:03 PM, Gene Leynes wrote: I've been trying to figure out how to read in a large file for a few days now, and after extensive research I'm still not sure what to do. I have a large comma delimited text file that contains 59 fields in each record. There is also a header every 121

Re: [R] Incremental ReadLines

Hi Gene, Rather than using R to parse this file, have you considered using either grep or sed to pre-process the file and then read it in? It looks like you just want lines starting with numbers, so something like grep '^[0-9]\+' thefile.csv otherfile.csv should be much faster, and then

Re: [R] Incremental ReadLines

James, I think those are Unix commands? I'm on Windows, so that's not an option (for now) Also the suggestions posed by Duncan and Phil seem to be working. Thank you so much, such a simple thing to add the r or rt to the file connection. I read about blocking, but I didn't imagine that it