similar to: Issues reshaping data

Hi: I am trying to cluster the rows of a text file with kmeans: I load the data as follows file1 <- read.csv("somefile.csv") and the file can be viewed having the following line of words > file1 1 word1 word3 word4 word1 2 word1 word4 word3 word1 3 word4 word2 word4 word3 4 word4 word2 word1 word3 5 word2 word2 word4 word2 file_as_matrix <- as.matrix(file1); Now,

Hi, I would like to add a two-lines label consisting of: "Delta word1\n word2" (with Delta being the actual greek letter). However, when I try "expression(paste(Delta,"word1\nword2"))", I obtain the following display: "word1\n Delta word2". Do you have any idea on how to obtain the desired display? Thank you for your help! Sebastien [[alternative HTML

Greetings, I am not familiar with processing text in R. Can someone tell me how to read each line of words as separate elements in a list? FE, I would like to turn: word1 word2 word3 word2 word4 into a list of length two with three character elements in the first list and two elements in the second. I know that this should be easy, but I am a little confused by the text functions. Thanks in

I just can't google for it: I'm searching for a "bash" "one liner" (awk, perl, or anything) for this: there are text files, in several directories: mkdir one mkdir two mkdir three echo "word1 word2 word3" > one/asf.txt echo "word2 word4, word5" > one/asfcxv saf.txt echo "word1. word2" > one/dsgsdg.txt echo "word6,

I am trying to find the math behind the "tm" package findAssocs() ?findAssocs does not say anything besides "association" and "correlate" Usually entering "findAssocs" at the CLI gives the code for a R function, but in this case I obtain: function (x, term, corlimit) UseMethod("findAssocs", x) <environment: namespace:tm> Any ideas?

Dear friends: Thanks to Ekkehard, I found out how to launch Word97. I went to the .wine/drive_c directory and then (using quotes around "Program Files" and "Microsoft Office") I cd's to where Winword.exe was and then typed, within this subdirectory: wine WINWORD.EXE. That launched Word97 at last. But when I try to save a document, all I get is the first letter of the file

Hi, It says in R-intro.pdf, "For portable R code (including that to be used in R packages) only A?Za?z0?9 should be used." I'm an wondering why '_' and '.' can be used in portable R code. It very common that some variable name should be composed of two or more English words. Can somebody let me know what is the widely accepted practice to concatenate two English

Hi, I''ve implemented synonym searching in my rails application but have an idea I''d like to implement but can''t figure out how to do. The idea is that I''d like to give the end user the choice on whether to search for the synonym of a word or not. Preferably by extending the query language to parse a construct similar to ''%word1'' and

Hello, How can i mattch blanks within words, when i have more phrases? c("Shangh i", "Hello here i am","h llo") > gsub(" ","a",c("Shangh i", "Hello here i am","h llo")) [1] "Shanghai" "Helloahereaiaam" "hallo" I would like to have [1] "Shanghai" "Hello here

Hey alltogether, refacturing a package (before it will be released), I ran across the following problem. I have two directories with different text files, I want to read the first and construct a document-term matrix from it (every term=word in a row, every file in a column, occurrence frequencies form the values). The second directory contains different files. It needs to be read in to also

Hello Experts, I'm new with R and having troubles doing my graduation project.I have 20 subfolders including almost 20000 txt files.What i need to do is to create a dtm and add a column to it showing a "class" information of the txt files. My directory source is like "C:\\R\\20news-18828\\comp.graphics" for the comp.graphic subfolder.I need to take only

hi: I want to know the math behind the "tm" package findAssocs(). I have found that someone had asked the question before, and have a good explanation by Rick. ?]http://r.789695.n4.nabble.com/findAssocs-td3845751.html?^ But I still don't understand how to calculate the correlation value between the two vectors. For example: # Correlation word2 with word3

Is there a way to get a list of similar words to the ones a user has searched for? So if they search for (in my case) transferaze which has no matches I can get back an array like this [''transferase''] ? I know I can just add ~ on the end to make it fuzzy, but what I''d like is to be able to say "Sorry, no matches for ''transferaze''. Did you

FTS indexing is something I hear quite often nowadays. I?ve added some hacks to make it work better for some installations, but it?s about time to think about the whole design and how it could be improved for everyone in future. Here are some of my initial thoughts. Currently Dovecot supports 3 full text search engines: Solr, CLucene and Dovecot Squat. CLucene plugin has various features built

Hi All, I think there may be some possible confusion about what allowsInf would be reporting (or maybe its just me :) ) if we did this. Consider a class "myclass", S3, for starters, with setMethod("allowsInf", "myclass", function(obj) FALSE) Then, what would myclassthing <- structure(1.5, class = "mything") myclassthing[1] <- Inf do. Assumely it

is it possible to implement a recursive foreign key association like that? i''m writing a vocab app, where i want the vocab table to have an id and two foreign keys, word1 and word2. the word table will have an id, a word-string, and a language i''m trying to do this as follows: class Vocab < ActiveRecord::Base belongs_to :word belongs_to :word class Word <

Dear R users, I have a problem with reshaping data. I know such questions have been asked before, but I can't get it right, neither with the reshape function nor with the melt function. My dataset has about 407 variables and about 48000 cases. Each case looks as follows: V1 v2 v3 v4 v5 v6 v7 x1 y1 x2 y2 .... x200 y200 V1 is unique, v2-v7 are

I have a data set that I'm trying to melt and cast in a specific way using the reshape package. (I'll use the ff_d dataset from reshape so I don't have to post a toy data set here. ) Lets say I'm looking for the interaction of treatment with each type of "variable" in ff_d. Using the command below gets me this. Subject will get a column and each treatment type by each

Hi, I'm trying to cast() some data, but keep on getting the following error... > norm.all.melted.height <- transform(all.melted.height, + norm.height = value / ave(value, SNP, Pool, FUN = max) + ) Warning messages: 1: In FUN(X[[147L]], ...) : no non-missing arguments to max; returning -Inf 2: In FUN(X[[147L]],

Seems like this should be easy but I'm struggling a bit. How do I rearrange a data frame to go from the first one to the second shown below ? State Date lbs TX 200701 400 TX 200702 650 TX 200703 950 TX 200704 1000 FL 200701 200 FL 200702 300 FL 200703 500 FL 200704 333 NJ 200701 409 NJ 200702 308 NJ 200703 300 NJ 200704 800 Date TX FL NJ 200701 400 200 409 200702 650