similar to: superimpose graphs

Hi there, I have a data frame DF of over 600 people's short term trade data in time order. Below is the super simplified structure of the data. id invest payout [1] 1 10 -1 [2] 1 33 33 [3] 1 20 -5 [4] 2 200 33 [5] 2 33 -20 [6] 3 5 -5 [7] 3

Hi all ! Running this: @payout = stub_everything(:id => 141) Payout.stubs(:find).with(@payout.id).returns(@payout) Generates this warning: ./test/functional/payouts_controller_test.rb:22: warning: Object#id will be deprecated; use Object#object_id What am I missing ? :id is a fairly frequent method to override in Rails-based applications. I''m using Mocha from

Dear List, Below is a simple, standard loss model that takes into account the terms of an insurance policy: deductible <- 15 coverage.limit <- 75 insurance.threshold <- deductible + coverage.limit tmpf <- function() { loss <- rlnorm(rpois(1, 3), 2, 5) sum(ifelse(loss > insurance.threshold, loss - coverage.limit, pmin(loss, deductible))) } net <- replicate(1000000, tmpf())

I thought I would write a lottery number generator since I have not had any luck winning the big jackpot - http://megamillions.com/. So far, after over 1.2 million tries, I still have not hit all the numbers from yesterday: 2, 17, 22, 32, 51, 35 (last one is the mega ball). Fun little project that and I thought others would be interested. Let me know if you have a cleaner implementation in mind.

Hi, I'm an R newbie and I've been struggling with a optimization problem for the past couple of days now. Here's the problem - I have a matrix of expected payouts from different stock option strategies. Each column in my matrix represents a different stock and each row represents the return to the strategy given a certain market move. So the rows are not a time series of percentage

Hi , i am trying to get this loop in my r program to work but it is not giving me the results that I desire. I am trying to model an insurance contract where there are n securities that have a fixed likelihood of default vector(data[i,2]) and a payout vector(data[i,1]). i need to price the value of stop losses at the security level and at the portfolio level. to do this i created two while loops

I am trying to extract one particular piece of data(Float) from all the data returned by yahooKeystats, but thus far I'm having no luck. This is what I've got so far: > library(fImport) Loading required package: timeSeries Loading required package: timeDate > data<-yahooKeystats("IBM") trying URL 'http://finance.yahoo.com/q/ks?s=IBM' Content type 'text/html;

On a machine with virtual networking is enabled and two ether net controllers eth0/192.168.1.2 and eth1/192.168.1.3 and having SAMBA smb.conf set to: dns interfaces = lo br0 is there a chance for: 1) The system not to boot with DNS working 2) The DNS server bounce between eth0 and eth1 3) The DNS server portion work on boot sometimes on eth0, but when software restarted only work on eth1 or

Hi all, I've been trying to figure out how to superimpose a histogram on a biplot that shows the relative contribution of each axis. I have been using the NIPALS function (http://biomserv.univ-lyon1.fr/~dray/ files/softwares/nipals.R) to run principal component analyses. Here is a toy example. source("http://biomserv.univ-lyon1.fr/~dray/files/softwares/nipals.R")

Dear R users, I want to superimpose two graphs as well as ensure that they should have same scale with same x & y axis. I am using following command but it does not ensure same scale. *pdf(file = "../RESULTS/RS1.simulated.pdf", width = 10, height =6)* *plot(Reserves.RS, col = 1:2, screen = 1)* *par(new= TRUE)* *barplot(RS.active, axes = FALSE)* *dev.off()* * * Regards Vikram

Hi all, I have data which is represented as a histogram and want to add more data / another histogram to this plot using another color. That is I need to superimpose multiple histograms. But have no idea how to do this. Can anybody please give me a hint? Thanks, Andreas -- Andreas Wilm Institut fuer Physikalische Biologie Heinrich-Heine-Universitaet Duesseldorf

Dear R- experts, I am trying to superimpose two or more scatterplot matrices generated by pairs() to visualize the differences over each datasets, but have not been very successful. Two data frames, df1 and df2 for example, each has the same five variables in columns. My goal is to paint each dataset with a color on the same plot panel for each pair of the five variables. That is, in this

Hi r-users,   I try to draw histogram (in terms of probabilty) and superimpose with the gamma pdf. Using this code below I can get the plots BUT the y scale for the density is out of scale.  How do I change the y-axis scale to max 1?  Another thing, how I do draw smooth line rather that points?   Nota that my observed data is hume_pos and the fitted data is rgam1.   hist(hume_pos,prob=TRUE)

NCSS has a nice plot of the histogram and density plot superimposed. The S-PLUS 4 Guide to Statistics on page 45 suggests the following code for a general purpose density plot for a vector named data iqd <- summary(data)[5]-summary(data)[2] plot(density(data,width=2*iqd),xlab="x",ylab="",type="l") Is it possible to superimpose the density plot on a histogram

Hi All, I?m trying to superimpose (or "add") two matrices: 1. resulting from a table function with frequencies: > U=table(pop$xloc, pop$yloc)) 14 15 16 17 18 19 20 21 22 5 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 9 0 5 10 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 2.

>>>>> "Romain" == Romain Francois <[hidden email]> >>>>> on Tue, 13 Dec 2005 15:40:59 +0100 writes: ........ Romain> A few comments : Romain> - your code should be reproductible, otherwise it is useless. (that Romain> recommandation is on the posting guide) Romain> - that question is a top ten question

I need a plot with a histogram z and a plot of z versus y superimposed. This is not working... z = rnorm(1000) y = rnorm(1000,1,2) hist(z) dx = plot(z, y, lwd = 1) lines(dx, add=TRUE) -- Thanks, Jim. [[alternative HTML version deleted]]

I have a data that looks like this: http://dpaste.com/88561/plain/ And I intend to create multiple density curve into one plot, where each curve correspond to the unique ID. I tried to use "sm" package, with this code, but without success. __BEGIN__ library(sm) dat <- read.table("mydat.txt"); plotfn <- ("~/Desktop/flowgram_superimposed.pdf"); pdf(plotfn);

Hello, I'm trying to superimpose a line plot onto a histogram but I'm not having any luck. I've attached the dataset. What I did was: > hist(data,freq=F) Now I'm trying to superimpose the following points with a line connecting them onto the histogram: x y 100 0.535665393824959 200 0.212744329736556 300 0.0844933242968584 400 0.0335572838043417 500

I'd like to superimpose a ksmooth() onto a barplot(). My data is: > d 2009-06-20 2009-06-21 2009-06-22 2009-06-23 2009-06-24 2009-06-25 2009-06-26 2009-06-27 2009-06-28 2009-06-29 2009-06-30 2009-07-01 2009-07-02 Same Breed (B) 12.64 21.08 13.52 12.51 13.71 9.91 14.24 7.18 11.81 5.92 12.04 17.96