search for: comprises

Dear All, I cannot find a solution to the following problem although I imagine that it is a classic, hence my email. I have a vector V of X values comprised between 1 and N. I would like to get random samples of X values also comprised between 1 and N, but the important point is: * I would like to keep the same distribution of distances between the X values * For example let's say N=10 and

Hello again, How do I split a data frame into smaller, completely separate data frames (rather than separate data frames comprising a single "list")? Consider the following data, and my coding attempt: x <- read.table(textConnection("id type number indv.1 bagel 6 indv.2 bagel 1 indv.3 donuts 10 indv.4 donuts 9"), header = TRUE) closeAllConnections() x.split <-

Given a<-"c(1,2,3,4,5)" How can  I evaluate the variable a to return a (numeric) vector comprising of 1,2,3,4,5? Thanks. [[alternative HTML version deleted]]

Hi, I have a function foo(x,y) and a dataframe, DF, comprised of two vectors, x & w, as follows : x w 1 1 1 2 2 1 3 3 1 4 4 1 etc I would like to apply the function foo to each 'pair' within DF e.g foo(1,1), foo(2,1), foo(3,1) etc I have tried >apply(DF,foo) >apply(DF[,],foo) >apply(DF[DF$x,DF$w],foo) However, none of the above worked. Can anyone help ?

Only tangentially on topic, at best... Given a pile of html files, comprising chapters of a book, with a single html file that serves as a table of contents to the group, how would I turn the entire book into a single PDF? I can't think of a way to do that, all I can come up with would result in a pile of PDFs, one per html. But there's gotta be a better way. Suggestions welcome.

I must have missed something simple, but still, i don't know what. I obtained my basic data as follows: x <- sprintf("SELECT m_id,sale_date,YEAR(sale_date) AS sale_year,WEEK(sale_date) AS sale_week,return_type,0.0001 + DATEDIFF(return_date,sale_date) AS elapsed_time FROM `merchants2`.`risk_input` WHERE DATEDIFF(return_date,sale_date) IS NOT NULL") moreinfo <- dbGetQuery(con,

...ics{...}' and run the document through 'pdflatex'. I tried both, creating PNG with 'png(...)' and converting from PDF to PNG using 'convert' from ImageMagick. So my questions are: - Is there a way to produce sufficiently lean PDFs directly in R, even when the plot comprises several million points? - How to produce a PNG that still looks nice when included in a LaTeX PDF document? Any hints will be greatly appreciated. Thank you Lasse -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/pgp-signature...

We're using gluster-2.0.1 and a nufa volume comprised of thirteen subvolumes across thirteen hosts. We've found today that there are some files in the local filesystem associated with the subvolume from one of the hosts that are not being seen in the nufa volume on any gluster client. I don't know how or when this happened, but now we have to do some work to get this gluster volume

Hi all, I'm trying to generate barplots from simple but long (~100000-row) data files, in which each bar will comprise two stacked 'sub-bars'. All the upper sub-bars will have the same hue, and all the lower bars will, likewise, have another uniform hue. However, I wish to specify the luminance (aka brightness) of each bar (i.e., each whole bar comprising two sub-bars) separately,

I have a data set of about 10000 records which was compiled from several smaller data sets using SPSS. During compilation 88 false records were accidentally introduced which comprise all NA values. I want to delete these records but not other missing data. The functions na.exclude and na.omit seem to remove all values of NA? How can I delete just the relevant NA's? . i.e. I want to delete

Dear all, I have what is a bit of a confusing question, so I hope that I can explain clearly. Thank you for your help in advance. I would like to do a replacement procedure on several strings, but the way that I am currently going about it is not working. I have defined "len", which is a series comprising the lengths of different items, all preceded by a colon. > len [1]

I have a data set which is comprised of counts, that is, the number of times a mass spectrometer measured a particular mass at a particular time (the rows and columns of the table). Is there a way to make a plot so that it draws a square at the mass/time spot on the graphic if there is a count and leave it empty if it's empty?

Dear R experts, My problem is as follows: Suppose I have a data frame d comprising two variable a<-c(1:10) & b<-c(11:20). I now want to select a subgroup according the values of b. I know if I just want to select, say, b=17, I can use f<-d[d$b==17] and R will give me > f a b 7 7 17 However, if now I want to select a subgroup according to b==e<-c(13,15,17), then the

...int function (x, ...) UseMethod("print") <environment: namespace:base> > showMethods("print") Function "print": <not a generic function> Don''t the two results contradict each other? Or do I have a terrible misunderstanding of what comprises a generic function? Thx, Nick Sabbe -- ping: nick.sabbe@ugent.be link: <http://biomath.ugent.be/> http://biomath.ugent.be wink: A1.056, Coupure Links 653, 9000 Gent ring: 09/264.59.36 -- Do Not Disapprove [[alternative HTML version deleted]]

I'm wanting to perform analysis (e.g. using eigen()) of binary matrices - i.e. matrices comprising 0s and 1s. For example: n<-1000 test.mat<-matrix(round(runif(n^2)),n,n) eigen(test.mat,only.values=T) Is there a more efficient way of setting up test.mat, as each cell only requires a binary digit? I imagine R is setting up a structure which could contain n^2 floats. Thanks in advance

dear all, i need some help in structuring my data file for a hierarchical time series analysis. can someone help please ? i have a 600 row database in the nature of a panel data, with 3 time series values of interest. the data also has 4 classificatory variables comprising a code for each entity in the panel, a value for time (year), and classification of type of entity and a further sub-group

Dear friends There is a list of arrays comprising different no of rows and columns even sometimes NULL, such as [[2]] given below. How can we ignore [[2]] or others like this in the complete list. Any help in this regard is needed. Thanks [[1]] [,1] [,2] [1,] 3 1 [2,] 3 1 [3,] 3 1 [[2]] NULL [[3]] [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 3 1

Hi, I am wondering if there is any convenient way to comment out an entire region of a Sweave file which comprises R and Latex code. Currently I'm doing it for the R and Latex parts separately or transfer the unwanted part into a different file. But both are not great solutions. (I am doing this when updating old files and debugging) Is there a way to do this with an equivalent of \iffalse \fi or is the...

Hi, I'm mainly insterested on the x86 JIT compiler. /lib/Target/X86/README.txt talks about 'Jello', the JIT compiler, which should be on /tools/jello. I think that changed to /tools/lli and now comprises a bytecode interpreter as well. Is that right? -- Oscar

...#TYPE ZONE GATEWAY GATEWAY ZONE openvpnserver:1194 net 0.0.0.0/0 openvpnserver:1195 net 0.0.0.0/0 We want the remote systems to have access to the local LAN - we do that with an entry in /etc/shorewall/policy (assume that the local LAN comprises the zone "loc"). #SOURCE DESTINATION POLICY road loc ACCEPT Is this "legal"? Keith Mitchell CTO Productivity Associates, Inc. 5625 Ruffin Rd STE 220 San Diego, CA 92123 (858) 495-3528 (Voice) (858) 495-3540 (Fax) keithm@gotopai.c...