similar to: Histogram of a dataframe subset failing

I'm working with a lot of data right now, but I'm new to R, and not very good with it, hence my request for help. What type of graph could I use to straighten out things like... http://r.789695.n4.nabble.com/file/n3711389/Untitled.png ...this? I want to see general frequencies. Should I use something like a 3D histogram, or is there an easier way like, say, shading? I'm sure these

I'm somewhat new to R, but I've had a lot of experience in Java. I'm working on a function that takes data from a data frame, does some math and assigns the values to a vector. Pretty simple. I plan to merge the vector with the data frame when I'm done. The vector is called offense1 (there will eventually be 2). I declared it on its own, outside of the function. Right now its

I am interning in a computer science lab and I'm very new to R. The language basics are clear, but this particular problem isn't: I have a very large dataframe called "data" which holds data from Halo matches. I'm trying to analyze a certain window such that data$deaths>20 and data$deaths<=27. When I enter the line kills = data$kills[data$deaths>20] or any single

Hi All, I've finally gotten around to database access using R. I'm happily extracting rows from a MySQL database using RMySQL, but am having problems appending rows to an existing table. What I *want* to do is to append rows to the table, allowing the database to automatically generate primary key values. I've only managed to add rows by using dbWriteTable( con,

Hi All, Newbie question for you all but i have been looking at the archieves and the help dtuff to get a rough idea of what i want to do I would like to merge two dataframes together based on a keyed variable in one dataframe linking to the other dataframe. Only some of the cases will match but i would like to keep the others as well. My dataframes have 67 and 28 cases respectively and i would

I don't usually do much with graphs in R, and this is my first time adding a line of best fit. Hopefully this is an easy problem to solve. I'm looking at a variable called soloKills along the range 5:28. Here are all my commands, in script form: range=5:28 graph=soloKills title="Solo kill/death data" xlabel="Number of deaths/1 game" ylabel="Mean number of kills/1

Hi, I'm trying to take a vector (length almost 2,000,000) and merge it with a data frame of the same length. I'm trying to do it solely based on index, and not any other factors. The vector is called "offense", and the data frame is just called "data". I went with the simplest option: merge(data,offense) but it always gives me the same error: Error in

Hello, I am currently trying to simulate data and analyze it using the frailty option in the coxph function. I am working with recurrent event data, using counting process notation. Occasionally, (about 1 in every 100 simulations) I get the following warning: Error in coxph(Surv(start, end, censorind) ~ binary + uniform + frailty(subject, : X matrix deemed to be singular; variable 2 My

This is my first question to the Forum. I’ve set up these associations: class Playlist < ActiveRecord::Base … has_many :playlists_tracks, :dependent => :destroy has_many :track_ones, :through => :playlists_tracks, :source => :track has_many :track_twos, :through => :playlists_tracks, :source => :track end class Track < ActiveRecord::Base … has_many

Hi, well I've deployed ext3 on two machines already and so far it does its job excellently at no (for me) noticable performance loss. I hope it gets incorporated into stock kernels by Linus soon. Anyways I've been hearing about ext3 supporting full-data journalling on a per-file basis but couldn't find any detailed info about it. Even tried grep'ing throught the source. How

Hi  I have a dataframe similar to: >Sample<-c(1,1,1,2,2,2,3,3,3) >Time<-c(1,2,3,1,2,3,1,2,3) >Mass<-c(3,3.1,3.4,4,4.3,4.4,3,3.2,3.5) >mydata<-as.data.frame(cbind(Sample,Time,Mass))   Sample Time Mass 1      1    1  3.0 2      1    2  3.1 3      1    3  3.4 4      2    1  4.0 5      2    2  4.3 6      2    3  4.4 7      3    1  3.0 8      3    2  3.2 9      3    3

Martin Morgan commented in email to me that a change to any slot of an object that has other, large slot(s) does substantial computation, presumably from copying the whole object. Is there anything to be done? There are in fact two possible changes, one automatic but only partial, the other requiring some action on the programmer's part. Herewith the first; I'll discuss the second

Hi, all. I'm working with published paleodemographic data (counts of skeletons that have been assigned into an age-range category, based upon observed morphological characteristics). For example, the following is the age distribution from a prehistoric cemetery in Egypt: naga <-

Please pardon the simplicity of this question of biological nature. I'm trying to calculate a statistic, px, the proportion of a cohort that survives through the interval x:x+1. I have the vector from which the calc is to be made but I can't figure out how to tell R to take the current value and divide it by the next value. The formula is P0=L1/LO The following is an example of the

Dear R-users, I would like to show you a simple example that gives an overview of one of my current issue. Although my working setting implies a different parametric model (which cannot be framed in the glm), I guess that what I'll get from the following example it would help for the next steps. Anyway here it is. Firstly I simulated from a series of exposures, a series of deaths (given a

Bother! This cold has made me accident-prone. I meant to hit Reply-all. Clarification below. -------- Original Message -------- Subject: Re: [R] Parameterization puzzle Date: Fri, 21 Jul 2006 19:10:03 +1200 From: Murray Jorgensen <maj at waikato.ac.nz> To: Prof Brian Ripley <ripley at stats.ox.ac.uk> References: <44C063E5.3020703 at waikato.ac.nz>

Reading "Modern Applied Statististics with S" and trying the corresponding examples both in the book and in ../lib/R/library/MASS/script, I'm now trying chapter 4 plotting bars with the following code on a linux box with R 1.8.1: ---------------------- library(MASS) library(lattice) options(echo=T, width=65, digits=5) lung.deaths <- aggregate(ts.union(mdeaths, fdeaths), 1)

The following is evidence of what is surely an undesirable feature. The issue is the handling, in calls to model.frame(), of an explanatory variable that has been derived as an unclassed factor. (Ross Darnell drew this to my attention.) ## Data are slightly modified from p.191 of MASS > worms <- data.frame(sex=gl(2,6), Dose=factor(rep(2^(0:5),2)), +

Today's R-devel has a problem in `example(medpolish)'. It appears that the `plot.medpolish' method is not available. Here is the output and traceback() after starting `R --vanilla': > library(eda) > example(medpolish) mdplsh> deaths <- rbind(c(14, 15, 14), c(7, 4, 7), c(8, 2, 10), c(15, 9, 10), c(0, 2, 0)) mdplsh> dimnames(deaths) <-

I'm having trouble figuring out how to format Date variables when used as axis labels in graphs. The particular case here is an attempt to re-create Nightingale's coxcomb graph with ggplot2, where I'd like the months to be labeled as "Mar 1885", "Apr 1885", using a date format of "%b %Y" applied to label the dates, or really anything other than