search for: mdvaan

I have a question about the Reduce function: x <- list() x[[1]] <- LETTERS[1:5] x[[2]] <- LETTERS[11:15] Reduce(paste, x) [1] "A K" "B L" "C M" "D N" "E O" How do I get this?: [1] "A" "K" [2] "B" "L" [3] "C" "M" [4] "D" "N" [5] "E" "O"

Hi, I have produced a list g and I would like to reduce the amount of information contained in each object in g. For each matrix I would like to keep the values where the column name equals g[year][[1]][[x]] and the row names equals g[year][[1]][[-x]]. So in g$`1999`$`8029`, year = 1999 and x = 8029. I have been experimenting with the subset function, but have been unsuccesful. Thanks for your

Hi, I have data on individuals (B) who participated in events (A). If ALL participants in an event are a subset of the participants in another event I would like to remove the smaller event and if the participants in one event are exactly similar to the participants in another event I would like to remove one of the events (I don't care which one). The following example does that however it

Hi, I have the following sequence: in <- c(0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 2, 0, 2, 0, 0, 2) >From this sequence I would like to get to the following sequence: out <- c(0, 0, 0, 3, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 0, 2, 0, 2, 0, 0, 2) Basically,

Hi, I am using R's grep function to find patterns in vectors of strings. The number of patterns I would like to match is 7,700 (of different sizes). I noticed that I get an error message when I do the following: data <- array() for (j in 1:length(x)) { array[j] <- length(grep(paste(patterns[1:7700], collapse = "|"), x[j], value = T)) } When I break this up into 4 chunks of

Hi, I have a series of MS word files and each file contains plain text. From these texts I would like to extract only those elements (read: words) that are between square brackets. Example of a text: Most fundamentally, it has led to an effort to clarify the organizational form concept. According to them [see also Smith, Jones and Carroll 2002], categories emerge as audience members recognize

Hi, This is probably an easy one, but I am new to ggplot2 and cannot find an answer online. I am bar plotting values of 10 groups. These values are all within a 90-100 range, so I would like leave out the area of the bars below 90. If I say "graph + scale_y_continuous(limit=c(90, 100))", it does limit the axis but the bars disappear completely. Any solution here? Thanks a lot!

Hi, The following returns an error message. How do I evaluate (TRUE or FALSE) the function? require(XML) readHTMLTable("http://www.sec.gov/Archives/edgar/data/2969/000095012399010952/0000950123-99-010952.txt") Thanks in advance! Math -- View this message in context: http://r.789695.n4.nabble.com/evaluate-whether-function-returns-error-tp4631406.html Sent from the R help mailing list

Hi, I have a vector like this: DF <- c("Aetna, Inc.", "Alexander's Inc.", "Allegheny Energy, Inc") For each element in the vector I would like to remove the "incorporated" info, so that my vector looks like this: DF <- c("Aetna", "Alexander's", "Allegheny Energy") That means that I have to strip: strip <-

Hi, I have written a function "harvest" and I would like to run the function for each value in a vector c(1:1000). The function returns 4 list objects (obj_1, obj_3, obj_3, obj_4) using the following code at the end of the function: return(list(obj_1 = obj_1, obj_2 = obj_2, obj_3 = obj_3, obj_4 = obj_4)). Since I am connecting with the web in the function and the connection sometimes

Hi, I am trying to access a website and read its content. The website is a restricted access website that I access through a proxy server (which therefore requires me to enable cookies). I have problems in allowing Rcurl to receive and send cookies. The following lines give me: library(RCurl) library(XML) url <- "http://www.theurl.com" content <- readHTMLTable(url) content

Hi, I have a question concerning the selection of data. Let's say that given list h created below, I would like to select a section of the 1999 matrix. For a case (rownames and colnames) I would like to select the cells that have a value > 0. So for case 8025 8025 8026 8027 8025 1 1 1 8026 1 1 1 8027 1 1 1 And for case 8028 8028 8029 8028 1

Hi list, based on the following data.frame I would like to create a variable that indicates the number of occurrences of A in the 3 years prior to the current year: DF = data.frame(read.table(textConnection(" A B 8025 1995 8026 1995 8029 1995 8026 1996 8025 1997 8026 1997 8025 1997 8027 1997 8026 1999 8027 1999 8028 1995 8029 1998 8025 1997 8027 1997 8026 1999 8027 1999

Hi, I have two lists (c and h - see below) containing matrices with similar cases but different values. I want to split these matrices into multiple matrices based on the values in h. So, I did the following: years<-c(1997:1999) for (t in 1:length(years)) { year=as.character(years[t]) h[[year]]<-sapply(colnames(h[[year]]), function(var)

Hi, I am trying to use the objects from the list below to create more objects. For each year in h I am trying to create as many objects as there are B's keeping only the values of B. Example for 1999: $`1999`$`8025` B B 8025 8026 8027 8028 8029 8025 1 1 1 0 0 8026 1 0 0 0 0 8027 1 0 0 0 0 8028 0 0 0 0 0 8029

Hello, I am using the plot.igraph function in the igraph package to plot a network. How do I keep vertices from overlapping? One option would be to pass an argument that restricts vertices to occupy the same coordinates given their size. A second option would be to increase the area of the plot (and multiply the distance between vertices with a constant) while keeping the size of vertices the

Hi list, Using the script below, I have generated two lists (c and h) containing yearly matrices. Now I would like to divide the matrices in c into multiple matrices based on h. The number of matrices should be equal to: length(unique(DF1$B))*length(h). So each unique value in DF1$B get's a yearly matrix. Each matrix should contain all values from c where element cij is 1. An example for