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Hi, I would like to import some daily financial data from excel via csv. More specifically, I would like to be able to use the ts.union function from the tseries library as the dates are irregular and I need to line up the dates so that I can place all the variables into one data frame. The trouble is, how do I import the dates from excel into R? At the moment I'm just importing the data

Hi everyone - I'm seeing a 32-bit build perform significantly faster (up to 3x) than a 64 bit build on Solaris 8. I'm running R version 2.1.0. Here are some of my system details, and some resulting timings: >uname -a SunOS lonetree 5.8 Generic_117350-16 sun4u sparc SUNW,Sun-Fire-V440 lonetree /home/sgilpin >gcc -v Reading specs from

When Dovecot is in proxy mode, the client sends along the original connection endpoints in an ID command. Is there any chance 'doveadm who' could use this to display the original connection source? As it currently stands, all I see is a bunch of connections from the proxy. Thanks! --- Brandon 'Brad' Davidson Virtualization Systems Administrator University of Oregon Information

Dear R-help list, Sorry to trouble everyone. This seems like it could be achieved with a single command (? variant of apply), but I am not quite seeing it. I am trying to multiply one vector (a1 below) by corresponding values in a3 (as determined by matching element in a vector a2). The example below might be clearer. a1 <- c(4,3,4,6,8,9,2,3,4,6,7,4) a2 <-

> An RFC for eg Vorbis is the next logical step after the current drafts > are passed. I'm confused -- isn't audio/vorbis in the present RFC? Or is that application/Ogg? BTW I don't mean to complain, this is great stuff you guys are doing. I'd love to help any way I can. > > Linus > > --- >8 ---- > List archives: http://www.xiph.org/archives/ >

I recently reviewed a paper that used Wald's Z in a mixed model analysis. The dataset (see end of message for complete dataset) has individual animals (SAMPLE) from within social groups, from within geographic regions. Y is the response variable. The paper ran a mixed model with year and region as fixed effects, group a random effect nested within region, and sample nested within group. I

I'm not familiar with Solaris, so take this with appropriate dose of NaCl... For the 64-bit build, why not have the -O2 for gcc, since you have it for g77 and g++? If you just run vanilla configure for the 32-bit build, I believe it uses -O2 for all three compilers by default. If that's the difference, perhaps it's sufficient to explain the performance difference. The other thing

Hey, i want to define 3 ideal breaks (bin) for each variable one of those variables is attached in the previous email, i don't want to consider quartile method because quartile is not working ideally for that data set because data distribution is non normal. so i want you to suggest another method so that i can define 3 breaks with the ideal interval for Recency, frequency and monetary to

Hi Your statement about attaching data is problematic. We cannot do much with it. Instead use output from dput(yourdata) to show us what exactly your data look like. We also do not know how do you want to split your data. It would be nice if you can show also what should be the bins with respective data. Unless you provide this information you probably would not get any sensible answer. Cheers

Hi You expect us to solve your problem but you ignore advice already recieved. Your data are unreadable, use dput(yourdata) instead. see ?dput > test<-read.table("clipboard", heade=T) Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : line 115 did not have 6 elements What is ?ideal interval? can you define it? Should it be such to provide eqal

Hello, I'm working on RFM analysis and i wanted to define my own breaks but my frequency distribution is not normally distributed so when I'm using quartile its not giving the optimal results. so I'm looking for a better approach where i can define breaks dynamically because after visualization i can do it easily but i want to apply this model so that it can automatically define the

This is the second generation of the edit-livecd tool that replaces our original bash script with a python version and aims to reuse as much as the livecd-creator libraries as possible. The main reason for the new creator class is to avoid the need for a kisckstart file in order to edit an existing livecd image. edit-livecd is useful for people who don't have the development and yum

Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934