search for: ragging

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 tips or tricks that may make this run faster? Below is

Hello, I have a big problem which I’m just 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`

I have a large dataset (~1 million rows) of three variables: ID (patient's name), DATE (of appointment) and DIAGNOSIS (given on that date). Patients may have been assigned more than one diagnosis at any one appointment - leading to two rows, same ID and DATE but different DIAGNOSIS. The diagnoses may change between appointments. I want to subset the data in two ways: - define groups

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? I achieved to calculate the ranks with:

I have a dataset that looks like: set.seed(144) sam<-sample(1000,100) dat<-data.frame(id=letters[1:10],value=rnorm(1000),day=c(rep(1,100),rep(2,100),rep(3,100),rep(4,100),rep(5,100))) I want to "normalise" it using the following function (unless you have a better idea...): adj.values<-function(dframe){ value_mean<-mean(dframe$value) value_sd<-sd(dframe$value)

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",

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

The following 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

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;

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 also

Hi, I've been using LaTeX for a few years on Mac OS X, and I'd like to use it on CentOS now. I installed a complete environment using 'yum groupinstall "Authoring and Publishing"' and then installing tetex-xdvi, plus manually installing the 'memoir' class. I can run 'latex document.tex' ok: the resulting .dvi looks nice in xdvi. When running

Hello, I'm trying to create a data frame with three columns, one of which is a variable-length list. I tried: df <- data.frame(name = c("a", "b", "c"), type=c(1, 2, 3), rtn = c(list(1,2,3), list(4, 5,6), list(7,8,9, 10) ) ) This would be useful, for example, if the 'rtn' is a variable number of