similar to: Creating a table with median for multiple variables

Hello, I'm hoping that somebody out there can help with this strange problem... First off I'm running Kernel 2.6.9, Samba 3.0.9 on Debian Linux, with WinXP clients. Users working out of their home directories are creating and saving Excel documents and when they later attempt to edit and save the document they've created it results in this message from Excel 2000: "Document

I'm running Samba 3.0.9 on SLES9 as a domain member with an NT4 PDC, using winbind to authorise domain users. I have set up a general share for all users which works fine and is accessible by all users but I am unable to set up the home shares correctly. When attempting to connect via smbclient I get the following:- tree connect failed: NT_STATUS_ACCESS_DENIED What does this mean and where

Dear R-colleagues, I am quite a newbie to R fighting my stupidity to solve a probably quite simple problem of generating artificial data with defined features. I am conducting a study of inter-observer-agreement in child-bronchoscopy. One of the most important measures is Kappa according to Fleiss, which is very comfortable available in R through the irr-package. Unfortunately medical doctors

I am sure I am opening myself up to looking stupid, but I have two samples with medians of 613.5 and 189 (difference in location of 424 compared to the difference suggested from the wilcoxon of 291.5) > wilcox.test(pipwtCount,pipwdCount, conf.int=TRUE, na.rm=TRUE) Wilcoxon rank sum test data: pipwtCount and pipwdCount W = 822, p-value = 0.01227 alternative hypothesis: true location

Hi all, I''ve been trying to fit a mixed effects model and I''ve been having problems. =>My aim: to know whether states atributes, political parties and individual atributes affect the electoral results of men and women candidates. I use candidates as replications for states and for political parties. =>Response: Percentage of valid votes casted to each

Are there any R functions for creating palettes for three-way data? For example, election maps for three parties where pure red, blue, and green show 100% for the Red, Blue, and Green parties respectively, magenta shows a 50-50 Red-Blue split with 0 for the Greens, cyan a 50-50 Blue/Green split with no Red votes and so on, with grey, black or white at a 1/3,1/3,1/3 split vote. I've spent a

My ajax stopped working when I switched to using respond_with. For my Votes, I have the create action and the corresponding create.js.erb, and respond_to :html, :js, :xml in the controller. Heres the log when I try and create a vote: Started POST "/stories/3-asdfasdf1111/votes" for 127.0.0.1 at Fri Jan 14 20:46:36 -0800 2011 Processing by VotesController#create as */* Parameters:

Hello, I have got a cluster sample using an election dataset where I already had the final results of a county-specific election. I am trying to figure out what would be the best sampling design for my data. The structure of the dataset is: 1) polling station (in general schools where people vote, for a county, for example, there are 15 polling stations) 2) inside each polling station, there

Hello Railists, I have a piece of Ruby on Rails code that has a complex SQL query (well, not that complex, but as far as I know beyond the ORM capabilities) and for my taste it has too many strings and harcoded values. I''d like to improve it as much as possible, so my question is open ended, what else can I do to improve it? Some particular issues I have - Is there a way to get a table

Hi everyone, newbee query! I've installed R 2.8.0 and tried to run this simple glm - x is no of cars in a given year, y is the number voted in an election that year while n is the population 18+: votes <- data.frame(x = c(0.62,0.77,0.71,0.74,0.77,0.86,1.13,1.44), + y=c(502,542,711,653,771,806,934,1123), n=

Hi, I am having trouble with an error I keep getting. I am just trying to create a simple pic chart from a small table. Hope someone can help. I am new to R. Table: Name Votes John 300 Sean 222 Andy 467 Sinead 740 David 124 James 641 William 380 Commands: d <- read.table("C:\\rep.csv", head=TRUE, sep=",") > pie(d$Votes, +

Hi, I am bumping into a small problem I was hoping someone could send me in the right direction on. I''m counting votes from a votes table to try to find the top ten videos. The following works really well, until I try to order it. It would seem that the order by is adding a 26 second delay, which surprised me since it was all done in sql. I revised the process to sort and publish on

I think this is an issue of serious interest to many of the subscribers of these lists; it would effectively ban a lot of security-related tools that many of use now find indispensable, e.g. ssh, pgp. ------- Start of forwarded message ------- Date: 21 Mar 1997 10:11:57 GMT From: rja14@cl.cam.ac.uk (Ross Anderson) Approved: R.E.Wolff@BitWizard.nl Subject: DTI proposals on key escrow The British

Hi, I am doing an eager loading in ruby on rails using below statement ------------------------ Article.find(:all, :include => [:asset, :vote], :conditions=>"assets.parent_id is null", :order=>"stat_final_ranking desc", :limit=>20) --------------------------------------- the above statement resulted in this expensive query.

Hi, set.seed(45) test1<-data.frame(columnA=rnorm(7,45),columnB=rnorm(7,10)) #used an example probably similar to your actual data apply(test1,2,function(x) sprintf("%.1f",median(x))) #columnA columnB # "44.5"? "10.2" par(mfrow=c(1,2)) lapply(test1,function(x) {b<-

Dear, I am a newbie to R. Now I am learning to draw boxplot using graphics(). I want to highlight the median position with a round point and the value left (or on the top of)to the point. Please kindly share the command and thank you. Elaine [[alternative HTML version deleted]]

Hello. I need calculate the median of several column of a data.frame, in a new column of this data frame, but the median operator only calculate from a vector. I have made a functionc that calculate the median but it is very slow. Are there any method in any package to calculate this? Best regards. Jose Sierra. A B C -0.01678042

Hi, 1.) The "median" function does not work well. Please refer to the data below (same data is attached as txt-delimited). This is what I try to do in R: median ( dataf [2:9] ) I get warning: "needs numeric data" 2.) BUT if apply the median to a single vector: median ( dataf [,2]] ) then it works: 3.) How come the "median"

On 1/30/15 1:17 PM, Saleem Abdulrasool wrote: > Although this has been discussed in the past, I think that given a few > conversations, it seems that it unfortunately needs to be brought up again. > > There seems to be some disagreement over the ideal location of the > unwinder (libunwind). Currently, libunwind resides in a subdirectory of > libc++abi. There seems to be some

Hi all, I have found the following function online median.test<-function(y1,y2){ z<-c(y1,y2) g <- rep(1:2, c(length(y1),length(y2))) m<-median(z) fisher.test(z<m,g)$p.value } in http://www.mail-archive.com/r-help@r-project.org/msg95278.html I have the following data > group1 <- c(2, 2, 2, 1, 4, 3, 1, 1) > group2 <- c(3, 1, 3, 1, 4, 1, 1, 1, 7, 1, 1, 1, 1,