similar to: ggplot2 - geom_bar

Dear R Community, I have a dataframe like this dat product1 product2 ... productn 01.1.2008 1 1 1 02.1.2008 1 1 2 . 15.2.2008 2 2 NA . 04.4.2008 2 2 1 05.4.2008 NA 2 NA (date ascending order, 1:n products with status 1, 2 or NA) and want to produce a graphic like

Dear R helpers, (At the outset I sincerely apologize if I have not put forward my following query properly, though I have tried to do so.) Following is a curtailed part of my R - code where I am trying to generate say 100 random no.s for each of the products under consideration. library(plyr) n = 100 my_code = function(product, output_avg, output_stdev)     { BUR_mc = rnorm(n, output_avg,

Hello, I have two sites. Both the sites will require queues for their own reason, own campaigns, etc. Like site1 would handle product1, product2, product3, while site2 can do product4, but can also do customer support for product1 and if anything, can transfer to site1's product1 queue (usually via SIP) Also, a few of these queues will require AgentLogin() type logging in, and some

Hi, seem to keep running into a wall here. I can''t find any resources on site navigation that can deal with any model being in the nav, allow nesting, and can dynamically update. So I thought about it for a while, and decided on a MenuItems class, which contained the position of the child in relation to it''s siblings, where the parent and the child were polymorphic. Then a given

Hi, I am writing following line in my code:- ================= @product1=Product.find(:all, :conditions => ["id = ? ", params[:product][''product_id''+count.to_s]]) print @product1.inspect =========================== So I am getting on console following output. ========================== [#<Product:0x3cd61c8 @attributes={"demand"=>nil,

Dear R people, I have to deal with the output of a function which comes as a matrix of vectors. You can reproduce the structure as given below: x <- list(c(1,2,4),c(1,3,5),c(0,1,0), c(1,3,6,5),c(3,4,4,4),c(0,1,0,1), c(3,7),c(1,2),c(0,1)) data <- matrix(x,byrow=TRUE,nrow=3) colnames(data) <- c("First", "Length", "Value") rownames(data)

I am trying to use the "cast" function from the reshape package, where the formula is not passed in directly, but as the result of the as.formula() function. Using reshape v. 0.7.2 I am able to properly melt() by data with: > molten <- melt(x, id=1:2) then I can properly cast with this: > cast(molten, days ~ variable) but if I try > cast(molten,

Dear R Users, I'm trying to use the 'cast' function in the 'reshape' package to convert column-format data to gridded-format data. A sample of my dataset is as follows: head(finalframe) Latitude Longitude Temperature OrigLat p-value Blaney 1 -90 -38.75 NA -87.75 17.10167 NA 2 -90 135.75 NA -87.75 17.10167 NA 3 -90 80.25

Hi all, I'm building a plot of the values in tmeant (below) against positions 1 to 5, using matplot. tmeant looks like this: case1 case2 pos1 861.8466 818.5909 pos2 961.2841 976.3466 pos3 878.6080 1262.8523 pos4 950.8011 1129.6080 pos5 968.1080 1063.3920 I also have lower (object tl) and upper (object tu) bounds on the confidence intervals as follows: tl: pos1

Hi I''ve just tracked down a wierd error that AFAICT is caused by an error not being raised in the setup: context "An Asset" do setup do @provider = Provider.create(:name => "Provider1") @product = Product.new(:name => "Product1", :provider => @provider) @applicant = Applicant.new(:first_name =>

Dear R users: I just got confused some R code used in linear mixed model~ example,two factors,A, B,C,A is fixed ,B,C are random,and B is nested in C,if I wannt to use linear mixed model,are the following code correct for each case? case1:want to know random effect of B, case1<-lme(y~A*B*C,random=~B|C) where "B|C" stand for what?,mean B is nested in C? case2: how to wirte

Sadly, we have discovered another line level interrupt race condition in Xen-4.1. The result was that an outstanding un-eoi''d interrupt at the IO-APIC resulted in the mptsas controller offlining the root filesystem. This is now two separate IO-APIC bugs found recently. 1) Cisco C210 M2 server - EOI Broadcast Suppression, io_apci_ack=old 2) Dell R710 - No EOI Broadcast Suppression,

Dear R-users, I recently began using the ggplot2 package and I am still in the process of getting used to it. My goal would be to plot on the same grid a number of curves derived from two distinct datasets. The first dataset (called molten.data) looks like this : Column names : Perc, Week, Weight P10 21 333.3554 P90 21 486.0480 P10 22 452.6347 P90 22 563.8263 P10 23 575.0960 P90

I''m a newbie and I''ve been trying to figure this out for a little while now, hopefully someone can point me in the right direction. case1 <div id="new"> </div> case2 <div id="new"><div id="item1"></div></div> <div id="new2"><div id="item1"></div></div> With RJS in

Hello, Everyone. I have a question about llvm's "Combine redundant instructions(instcombine)" pass. I have tested instcombine pass by writing the following three test cases. But, CASE3 is not optimized as I expected. Is this behavior expected? The version of llvm is: clang version 5.0.1 (tags/RELEASE_501/final 325232) Option of clang command is: clang -O1 a.c -S -emit-llvm

Dear R users: I am having difficulty to place x-axis location alternatively top/bottom side in Lattice plot, which is composed of seven-column as following: E1 E2 E3 E4 E5 E6 E7 Case1 -505.85 -75.32 494.52 -12.31 -98.96 50.34 -48.62 Case2 -50.46 -60.97 68.32 -8.66 -51.77 25.17 -26.60 Case3 -253.00 -54.99 243.48 -8.76

Dear list, Hello to everybody, I´m interested in finding a package for statistical analysis of binary data, I have a matrix with the following structure: Case1 Case2 Case 3 ....... CaseX Control1 Control2 Control3 ....... ControlY Pep1 1 0 1 1 0 0 0 1 Pep2 1 1 1 1 1 0 0 1 Pep3 0 1 1 1 1 0 0 1 ... Pepz 1 1 1 1 1 0 0 1 I would like to know some R package to calculte similarity matrix or

> From: Chris Garrigues <cwg-bcc@deepeddy.com> > Date: Thu, 24 Jun 2004 09:45:16 -0500 > > [2004/06/24 07:38:05, 0] passdb/pdb_ldap.c:ldapsam_search_one_group(1782) > ldapsam_search_one_group: Problem during the LDAP search: LDAP error: (N > o such object) These lines appear to all be searching for base="ou=group,dc=borderent,dc=com,dc=borderent,dc=com"

hi there.. i got a problem with ggplot2. here my example: library (ggplot2) v1 <- c(1,2,3,3,4) v2 <- c(4,3,1,1,9) v3 <- c(3,5,7,2,9) gender <- c("m","f","m","f","f") d.data <- data.frame (v1, v2, v3, gender) d.data x <- names (d.data[1:3]) y <- mean (d.data[1:3]) pl <- ggplot (data=d.data, aes (x=x,y=y)) pl

>that image under B: or X: or whatever. This will allow us to cross the >size limit of 2.88MB floppies. Ofcourse when I say "mount" I dont expect >memdisk to mount it, just that set things up so that DOS mounts it there. I'm using a 5MB image which emulates floppydisk. label test kernel data/memdisk append initrd=data2/test.img c=80 h=8 s=18 floppy problems are