similar to: Aligning ragged text columns

. HI there, I'd like to show demonstrate how the chi-squared distribution works, so I've come up with a sample data frame of two categorical variables y<-data.frame(gender=sample(c('Male', 'Female'), size=100000, replace=TRUE, c(0.5, 0.5)), tea=sample(c('Yes', 'No'), size=100000, replace=TRUE, c(0.5, 0.5))) And I'd like to create a list of 100

Is anyone using Pdf::Writer? I don know how to insert html tags in a pdf using Pdf::Writer, except <b> and <i> I think an idea is with Pdf::TechBook but i hadn''t seen any example till now. -- Cheers, ioana k&a http://boulangerie.wordpress.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL:

I'm still getting used to R's scoping. I've run into the following situation value=0 thefunction <- function() print( value ) somefunction <- function() { value=99; thefunction() } somefunction() now, I understand that somefunction() returns 0 because thefunction() was defined with value=0 in its parent envrionment, it dosent look at all in the environment of somefunction. My

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",

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

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:

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`

Thanks, I can now reproduce and it is a bug that is easy to fix, I will do so shortly. Fyi it can be reproduced simply by running these two lines in Rgui: list() encodeString("apple") Best Tomas On 07/17/2018 05:16 PM, Kevin Ushey wrote: > Sorry, I should have been more clear -- if I write the contents of > that script to a file called 'encoding.R' and source that,

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)

Fixed in R-devel and R-patched, Tomas On 07/18/2018 12:03 PM, Tomas Kalibera wrote: > Thanks, I can now reproduce and it is a bug that is easy to fix, I > will do so shortly. > > Fyi it can be reproduced simply by running these two lines in Rgui: > > list() > encodeString("apple") > > Best > Tomas > > On 07/17/2018 05:16 PM, Kevin Ushey wrote:

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 <-

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

Sorry, I should have been more clear -- if I write the contents of that script to a file called 'encoding.R' and source that, then I see the reported behavior. Here's something standalone that you should hopefully be able to copy + paste into RGui to reproduce: code <- ' x <- 1 print(list()) save(x, file = tempfile()) output <- encodeString("apple")

I was cursing Matlab again today (what else is new) because the default action for every Matlab command is to spew the result to the console, and one must remember to put that darn ";" at the end of every line. So I just wondered: was there ever a discussion as to providing some modified version of the "<-" and "->" operators in R to do the reverse?

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

What is the inverse of encodeString? For example, \u1 is some Unicode symbol. If I do s <- encodeString("\u1") then s will be the string "\001". But anything I do with s, will not return the Unicode that corresponds to \u1: cat(s, "\n") # prints \001 cat("\u1", "\n") # prints y with umlaut Alberto Monteiro

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

Hi everybody. I have been searching and trying for an answer, but no luck, so here I go.. Is there anyway to execute multiple commands on a single priority in extensions.conf? eg: exten => X.,1,Dial(SIP/1111) & somefunction(${EXTEN}) I need the dial command to dial internal extensions, and the "somefunction" to kick of our own outgoing system for redirection to outside lines;

Hi all: This question is related to a state machine generated by LLVM for a coroutine. I stripped all coroutine related details to get to the essence of the question. Let's say I have a state machine that looks like this: struct State { FnPtr Fn; State() : Fn(&SomeFunction) {} void Go() { (*Fn)(); } void Stop() { Fn = nullptr; } bool IsDone() { return Fn ==

Dear R-users, I'm trying to work out a way to set default values for arguments in a function which includes the optional argument '...'. In practice, I have a 'plot' method for a function which specifies different types of plots. Every different plot should have different default arguments (for example for 'col', 'ylim' etc), plus the argument '...' to