search for: ragged

Hi All, I'm wanting to convert a ragged list of values into a structured matrix for further analysis later on, i have a solution to this problem (below) but i'm dealing with datasets upto 1GB in size, (i have 24GB of memory so can load it) but it takes a LONG time to run the code on a large dataset. I was wondering if anyone had any...

...ust not able to solve. I created the following mean value from the following dataset structure: Id |value 1 | 2 1 | 3 1 | 4 2 | 2 2 | 1 3 | 5 4 | 3 etc.|etc. with the command: mean_rating <- tapply(ratok$value, ratok$project_id , mean,simplify = FALSE) this gives me a ragged array: > mean_rating [1] $`14` ###########==project_id [1] 3.933333 #######==mean value > dim (mean_rating) [1] 2214 I want to separate now the project_id from the mean value. So that I have two separate columns (2 dimension). How can I separate a ragged array into two...

...individuals which have pairs of rows with the same ID and (lowest or highest) DATE. The size of the dataset precludes the option of doing this by eye. I suspect there is a very elegant way of doing this in R. This is what I've come up with: - Sort by DATE then ID - Make a ragged array of DATE by ID - Remove IDs that only occur once. - Subtract the first and second DATEs. Remove IDs for which this = zero, as this will only be true for IDs for which the appointment is recorded twice (because there were two diagnoses recorded on this date). - (Th...

How can I add an extra column containing the rank to a ragged array indexed by more than one grouping factors? E.g. with the barley dataset: How can I to add an additional column ``rank'' containing the rank of the ``yield'' of the different varieties in relation to the indices ``year'' and ``site'' to the barley dataframe?...

...score_mean_iqr<-data.frame(id=names(tblscore_iqr),mean=tblscore_mean,iqr=tblscore_iqr) However, as it turns out, my data look more like: dat<-dat[-sam] ldply(dlply(dat,.(id,day),adj.values),length) So on different days I only have data for some of the id variables which leads to a "ragged" data.frame. ddply(dat,.(id,day),adj.values) can i do something like ldply(dlply(dat,.(id.day),adj.values), function(x){put in a NA for the places where data is missing?}) To give you a sense of where this is going, I'm eventually going to plot the mean of each id variable over the ti...

Hi * and thanks for you responses some body help me stop effect, just last effect. Thanks! to somebody help me with: Pulsator = Class.create(); Pulsator.prototype = {initialize: function(element) { this.stopped = false; new Effect.Pulsate(element, { afterFinish: this.action.bind(this) }); },action: function(element){if(!this.stopped) new Effect.Pulsate(element, { afterFinish:

Hi, I have a list made up of character strings with each item a different length (each item is between 1and 6 strings long). Is there a way to convert a "ragged" list to a matrix such that each item is its own row? Here is a simple example: a=list(); a[[1]] = c("a", "b", "c"); a[[2]] = c("d", "e"); a[[3]] = c("f", "g", "h", "i"); I would like to conver...

I wonder what's the right way in R to do the following -- placing objects of the same kind together in subarrays of varying length. Here's what I mean: > word <- c("a","b","c","d","e","f","g","h","i","j") > kind <- c(1,1,1,2,3,4,5,5,7,7) > d <-

Can anyone please suggest how I can print: a <- matrix(c( "Heading 1", "This is some info\nabout heading 1", "Heading 2", "This is some info\nabout heading 2", ), byrow=T, nrow=2) to look like: Heading 1 This is some info about heading 1 Heading 2 This is some info about heading 2 (if you're not using a fixed width

Just wondering how come read.table lets you specify fill=TRUE for ragged arrays, but so far as I can tell, no equivalent for write.table? Not a big deal, since I'm perfectly comfortable w/ write and scan and the other file I/O goodies. "A foolish inconsistency..." and all that. Carl

Dear R users, I am currently writing a MCMC algorithm for spatial Poisson model. One problem which I need to solve is as follows: I have a vector X[1:J] which describes characteristics of cells of a rectangular grid. Further, for each cell I have a list of adjascent cells adj[] and the vector listing numbed of adjascent cells num[]. Thus if I want to list cells adjascent to cell i I write

Hi and thanks in advance, I am fairly new with R so I hope this problem isn't too amateur. I have a vector of count data which correspond to vectors of date (%m/%d/%Y) and time of day (%H:%M:%S). I am trying to compute various statistics (e.g. daily max) by lumping the data together by day. I have been able to utilize tapply() and group the counts together, but with the method I use I end

I am using Apache2.2 + mod_proxy_balancer + mongrel setup and my mongrel.conf file(for apache is like this) 2 3 <Proxy balancer://mongrel_cluster> 4 BalancerMember http://127.0.0.1:9000 5 BalancerMember http://127.0.0.1:9001 6 BalancerMember http://127.0.0.1:9002 7 </Proxy> 8 9 <VirtualHost *> 10 ServerAdmin rags at

Hello, I'm running an algorithm for graph structural cohesion that requires a depth-first search of subgraphs of a rather large network. The algorithm will necessarily be redundant in the subgraphs it recurses to, so to speed up the process I implemented a check at each subgraph to see if it's been searched already. This algorithm is very slow, and takes days to complete on a

...llowing single line of code shows what I am trying to do, and the problem I am having... barplot(c(101,102,103),ylim=c(100,103)) The 'xaxis' is missing, and the grey bars 'fall off' the plot area. This is generally ugly, and I would like to trim the bars (ideally they would have a ragged appearance to show that I am 'zooming in'). I can see why what I am trying to do is conceptually a bit tricky, as the yaxis needs to be closly inspected to see the data in its propper context. This is simply fixed by showing... barplot(c(101,102,103)) However, I want to first show the da...

hi again How can i extend 5 times for effect.pulsate beats? I need that continue beat until other event client happened about my other mail, is there other solution more elegant that this? : new Effect.Pulsate(leccion[i_leccion],{duration: 5,from: 1}); thanks again rag

Ok, I have a new, multipart problem that I need help figuring out. Part 1. I have a three dimensional array (species, sites, repeat counts within sites). Sampling effort per site varies so the array should be ragged. Maximum number of visits at any site = 22 Number of species = 161 Number of sites = 56 I generated the array first by; mydata<-tapply(spdata1$NTOTAL,list(spdata1$COUNT,spdata1$SPECIES,spdata1$SITESURVEY),sum) where spdata1$NTOTAL = number of detections spdata1$COUNT = repeat visit per site (...

In "An Introduction to R" Version 3.3.1, in "4.2 The function tapply() and ragged arrays", after stderr <- function(x) sqrt(var(x)/length(x)) , there is a note in brackets: Writing functions will be considered later in [Writing your own functions], and in this case was unnecessary as R also has a builtin function sd(). The part "in this case was unnecessary as R a...

...ling the 'memoir' class. I can run 'latex document.tex' ok: the resulting .dvi looks nice in xdvi. When running 'dvips -o document.dvi', I get a .ps file that I can view OK in Evince. But when I run 'pdflatex document.tex', the fonts in the resulting PDF are all ragged and fuzzy... though the print output is OK. I thought I'd rather post this question here, since the answer is probably distribution-specific. Any suggestions? Niki

...) 2 b 2 list(4, 5, 6) 3 c 3 list(7, 8, 9, 10) I discovered this in the R Language Definition manual: "A data frame can contain a list that is the same length as the other components. The list can contain elements of differing lengths thereby providing a data structure for ragged arrays. However, as of this writing such arrays are not generally handled correctly. (2.3.2)" Is this still the case? What does 'not handled correctly' mean? Can I do something like: sample(df$rtn, 1) If this isn't the way to do this, can you suggest the correct way? Thanks for...