similar to: How to plot multiple time series with different time base in same plot?

Hi I have a time series of measurements: every 10 min. a value was logged. The data look like: 20100914 08:01 3.74 20100914 08:11 3.74 20100914 08:21 3.71 20100914 08:31 4.39 20100914 08:41 3.74 This data spans several months. I would like to group the data per day. In Matlab it is fairly easy to obtain a cell array, of which the first column contains the date of each

Hi Using the ggplot2 package, I would like to obtain a plot that contains two time series that have data points on different dates. For instance, one data frame looks like: date1, value1 2010-01-05, 2921.74 2010-01-08, 2703.89 2010-01-14, 3594.21 2010-01-20, 3659.22 The other data frame looks like date2, value2 2010-01-01, 285.85 2010-01-02, 229.20 2010-01-05, 333.91 2010-01-06, 338.27

Hej, i need the which() funktion to find the positions of an entry in a matrix. the entries i'm looking for are : seq(begin,end,0.01) and there are no empty spaces i'm searching in the right range. so i was looking for the results R can find and i recieved this answer. for (l in

I'm trying to write a formula method for canonical correlation analysis, that could be called similarly to lm() for a multivariate response: cancor(cbind(y1,y2,y3) ~ x1+x2+x3+x4, data=, ...) or perhaps more naturally, cancor(cbind(y1,y2,y3) ~ cbind(x1,x2,x3,x4), data=, ...) I've adapted the code from lm() to my case, but in this situation, it doesn't make sense to include an

Hi, I have a table which I can read via read.csv: fx1<-read.csv(file="A_FX_M.csv", header=TRUE) TIME REER NTD JPY GBP HKD 1 198001 124.26 36.030 237.96 2.263980 4.8366 2 198002 126.59 36.030 244.05 2.290426 4.8765 3 198003 128.33 36.026 248.62 2.206045 4.9960 4 198004 127.85 36.063 251.67 2.215330 4.9760 5 198005 124.40 36.050 228.35 2.302026 4.8891 6 198006

We just studied randomized block design analysis in my statistics class, and I'm trying to learn how to do them in R. I'm trying to duplicate a case study example from my textbook [1]: > # Case Study 13.2.1, page 778 > cd <- c(8, 11, 9, 16, 24) > dp <- c(2, 1, 12, 11, 19) > lm <- c(-2, 0, 6, 2, 11) > table <- data.frame(Block=LETTERS[1:5], "Score

Dear Daniel and Jorge, Thank you very much and it does help. If I have a string "ABCD", how can I access the second element of the string "B"? Thanks, Miao 2012/7/27 Daniel Nordlund <djnordlund@frontier.com> > > -----Original Message----- > > From: r-help-bounces@r-project.org [mailto:r-help-bounces@r-project.org] > > On Behalf Of jpm miao

Hi all (and Andy!), When running a randomForest run in R, I get the last part of an output (with do.trace=T) that looks like this: 1993 | 0.04606 130.43 | 1994 | 0.04605 130.40 | 1995 | 0.04605 130.43 | 1996 | 0.04605 130.43 | 1997 | 0.04606 130.44 | 1998 | 0.04607 130.47 | 1999 | 0.04606 130.46 | 2000 | 0.04605 130.42 | With the first column representing the

Hi all, We've run into a curious issue. We run CentOS 6.5 with openssh installed (OpenSSH_5.3p1, OpenSSL 1.0.1e-fips 11 Feb 2013 by default). We connect to this server through sftp (Subsystem sftp internal-sftp) using the java JSch library. When opening many sftp channels on a single ssh session OpenSsh does not seem to release the sftp channels closed from the client side when there are

Given a data frame consisting of a pointID and 12 pairs of (lat, long) variables, with names latA, longA, latB, longB, ... latL, longL, I want to reshape it into a data frame with the structure point source lat long 1 A ... ... 1 B ... ... I've looked at reshape and plyr, but can't figure out how to do this. Details of my data frame are below

I originally set up this monitor with an analogue lead. Everything seemed fine, so I didn't check xorg.conf at all. Then I bought a digital lead, and since then the monitor blinks. Running system-config-display identifies it as a 1280 x 1084 CRT monitor. It is an LCD monitor. That model is not on the drop-down list, so assuming that a specific driver wasn't available for it, I

Dear R, I'm trying to plot the first principle component of an analysis vs the first variable but am having trouble. I have no trouble doing the initial plot but have difficulty thereafter. First I want to highlight some points of the following data set list(running) [[1]] X100m X200m X400m X800m X1500m X5K X10K Marathon Argentina 10.39 20.81 46.84 1.81

As described earlier (http://dovecot.org/list/dovecot/2006-December/018055.html), Dovecot nowadays has full text search indexing support in CVS HEAD. Currently there are two backends: Lucene and Squat. Lucene's problem is that standard IMAP SEARCH command can't be used with it without breaking IMAP RFC. So Lucene can be used only with non-standard X-BODY-FAST and X-TEXT-FAST search

At the cost of breaking the thread I'm going to change your subject and replace 'Principle' by 'Principal'. I just can't stand it any longer... OK, here is how I would solve your other problems. First put > wh <- c("USA", "New Zealand", "Dominican Republic", "Western Samoa", "Cook Islands") > ind

Hi all, Hope someone could help me. I am trying to run automatically the conversion of an Rwn file to a tex file. I am using windows 7, and cygwin. I tried to run automatically the Sweave.sh script, in its the most recent version available at R webpage: http://cran.r-project.org/contrib/extra/scripts/Sweave.sh Unfortunately, I got this error message: =========================== Raquel at

I am using Asterisk to send Voicemail out as Email. I am running into a problem I believe to be caused by the exchange server requiring SMTP authentication. I cannot get the sys admin's to turn it off. Does anyone know enough about sendmail to help me. I am assuming that the default mail client is sendmail. It will also send to other non-SMTP authenticated servers. Your help is much

On 04/26/2013 05:08 AM, tanmx_star wrote: > Hi all, Hi, thanks for the update and sorry for the delay in reviewing. I just had a look at your proposal. > I have updated my GSoS proposal: "FastPolly: Reducing LLVM-Polly Compiling overhead" (https://gist.github.com/tanstar/5441808). I think the pass ordering problem you discussed early can be also investigated in this project!

hi Michael, am sorry for the incomplete reply . csv file data havinmg like this , >getSymbols("IBM") >weekly_data = to.weekly(week_name) >dataframe=data.frame(weekly_data) >outputfile_name="F:\\R-programs\\Outputfile.csv" >write.table(dataframe, file =outputfile_name,sep = ",",col.names =TRUE,row.names = T) > datafrom_table <-

Hi all, I have updated my GSoS proposal: "FastPolly: Reducing LLVM-Polly Compiling overhead" (https://gist.github.com/tanstar/5441808). I think the pass ordering problem you discussed early can be also investigated in this project! Is there any comment or advice about my proposal? I appreciate all your help and advice. Thanks, Star Tan Proposal:

Hello, I need help with a partial least square regression in R. I have read both the vignette and the post on R bloggers but it is hard to figure out how to do it. Here is the script I wrote: library(pls) plsrcue<- plsr(cue~fb+cn+n+ph+fung+bact+resp, data = cue, ncomp=7, na.action = NULL, method = "kernelpls", scale=FALSE, validation = "LOO", model = TRUE, x = FALSE, y =