similar to: Get column value of col1 .. col10

Hey all! We''ve been using Ferret to great success these past six months. But recently we''ved tried adding many new ContentItems (only thing being index by Ferret at the moment), and things came crashing to a halt. ferret gem: 0.10.9 acts_as_ferret plugin (not sure which version) How we''re using the plugin: class ContentItem < ActiveRecord::Base acts_as_ferret

Hi: I am looking for a good hands on web mashup tutorial? or books for that matter.. Google gives me bits and pieces of the info but not any step by step or hands on tutorial.. Thanks a bundle -- Posted via http://www.ruby-forum.com/. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk"

Hi everyone, I''m pretty new to Lucene and Ferret, so I feel that this is most likely myself not completely understanding the correct way to do this. I haved indexed ~2200 text files (of various sizes), and I am now running searches on the index to get a feel for Lucene and Ferret. In my first program, which is using Lucene I search for ''influenza'' and get the

The ferret webpage at http://ferret.davebalmain.com/ has been down for a number of days. Any idea what''s going on? or how to notify the webmaster? -- Posted via http://www.ruby-forum.com/.

R 2.15.1 OS X Colleagues, I am reading a 1 GB file into R using read.table. The file consists of 100 tables, each of which is headed by two lines of characters. The first of these lines is: TABLE NO. 1 The second is a list of column headers. For example: TABLE NO. 1 COL1 COL2 COL3 COL4 COL5 COL6 COL7 COL8 COL9 COL10

Hi all, I have a matrix with 10000 rows and 10 columns. The last columns contains another identifiers but the values are not uniques so that I want to generate another matrix with rows with unique values in the last column. If I did tmp<-unique(my_mat$col10) this will give me 8560 unique entries so the ideal matrix will be 8560X10 columns now then. I tried sub_mat<-my_mat[tmp,] but

Dear R users, I??ve got a simple question but somehow I can??t find the solution: I have a data frame with columns 1-5 containing one set of integer values, and columns 6-10 containing another set of integer values. Columns 6-10 contain NA??s at some places. I now want to calculate (1) the number of values in each row of columns 6-10 that were NA??s (2) the sum of all values on columns 1-5

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the

Full_Name: Robert Pusz Version: 2.2.1 OS: Windows Submission from: (NULL) (157.25.9.126) Hello, In my opinion something is wrong with 'weights' option in glm. My code is following: ###begin of the code#### cl <- c(5012, 106, 3410, 5655, 1092, 1513, 557, 1351, 3133, 2063, 3257, 4179, 5582, 5900, 8473, 4932, 3463, 5596, 2262, 0, 2638, 1111, 4881, 4211, 6271, 5257, 6926, 6165, 0, 0,

dear useRs, i have a list containing 16 matrices. i want to calculate the column mean of each of them. i tried >sr <- lapply(s,function(x) colMeans(x, na.rm=TRUE)) but i am getting the following error >Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric can it be done in any other way? and why i am getting this error?? thanks in advance.. elisa [[alternative

Hi, is there a way I can calculate a summary statistics for a columns matrix let say we have this matrix x <- matrix(sample(1:8000),nrow=100) colnames(x)<- paste("Col",1:ncol(x),sep="") if I used summary summary(x) i get the output for each column but I need the output to be in matrix with rownames and all the columns beside it this how I want it

Hi all, I'm making a PCA plot with eight variables (columns taken from a larger data frame "fieldTrial0809[idx,c(39:46)]"). I then want the symbols in the plot to be colored as a gradient from red to blue, depending on the value of another column in "fieldTrial0809[idx, c(48)]" containg temperatures from -12.1 to -5.4. I don't want to use the heat.colors(n)

Hi, In a function, I compute 10 (un-named) vectors of reasonable length (4471 in the particular example I have to hand) that I want to combine into a data frame object, that the function will return. This is very slow, so *I'm* doing something wrong if I want it to be quick and efficient, though I'm not sure what the best way to do this would be. I know it is the combining into data

From: anand jain <anand.jain@oracle.com> Anand Jain (1): [RFC] Add btrfs autosnap feature Makefile | 6 +- autosnap.c | 1553 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ autosnap.h | 81 +++ btrfs-list.c | 140 +++++- btrfs.c | 46 ++- btrfs_cmds.c | 186 +++++++- btrfs_cmds.h | 3 +- scrub.c | 1 + 8 files changed, 1982 insertions(+), 34

PROBLEM I have two models, Blog and BlogComment. When a blog is initially created, it has no comments. Upon creation, the title and body are automatically added to the ferret index and directly searchable. However, when a comment is added to a blog, that comment does not get added to the index and is therefore not ferretable. The desired behavior is that when a comment is added to a blog, that the

Currently, I'm using mail_location = mdbox:/var/spool/mail/%Ld/%Ln/mdbox Now I want to add a partitioning (so I don'T have all directories in one single directory), but can't find the right syntax: mail_location = mdbox:/var/spool/mail/%Ld/<HASHING HERE>/%Ln/mdbox It seems like I'd need to use %N (new hash) on %Ln and then take a substring of that. %2NLn 2 Characters of

Hello all, I have a data file table.txt which i have attached. I am trying to pass the columns as arguments to a function "totnorm" where i am displaying a total normalization plot. The function is given below: totnorm<-function(x,y){scale<-sum(x)/sum(y);xlab<-colnames(x);ylab<-colnames(y);x1<-x[[1]];y1<-scale*y[[1]];plot(x1,y1,xlab=xlab,ylab=ylab,col=6, col.lab=4);}

Hello all, I have a data file table.txt which i have attached. I am trying to pass the columns as arguments to a function "totnorm" where i am displaying a total normalization plot. The function is given below: totnorm<-function(x,y){scale<-sum(x)/sum(y);xlab<-colnames(x);ylab<-colnames(y);x1<-x[[1]];y1<-scale*y[[1]];plot(x1,y1,xlab=xlab,ylab=ylab,col=6, col.lab=4);}

Hi, I'm trying to create a Pattern that looks something like this: def my_inst : Instruction < let OutOperandList = (outs REG:$dst); let InOperandList = (ins imm:$src); let Uses = [R0]; > def int_my_intrinsic : Intrinsic < [llvm_float_ty], [llvm_i32_ty, llvm_i32_ty, llvm_i32_ty], [] >; def : Pattern < (int_my_intrinsic imm:$a, imm:$b, imm:$c), [(set R0, (MOV_IMM

Dear R people, I have a very big tab-delim txt file with header and I only want to import several columns into R. I checked the options for "read.table" and only found "nrows" which lets you specify the maximum number of rows to read in. Although I can use some text editors (e.g., wordpad) to edit the txt file first before running R, I feel it?s not very convenient. The