similar to: construct boxplots from data with varying column widths

From: David Winsemius <dwinsemius at comcast.net> On Jul 16, 2011, at 12:15 PM, Rory Campbell-Lange wrote: > On 16/07/11, David Winsemius (dwinsemius at comcast.net) wrote: >> >> On Jul 16, 2011, at 11:19 AM, Rory Campbell-Lange wrote: >> >>> I'm an R beginner, and I would like to construct a set of boxplots >>> showing database function runtimes.

Question: When survfit() function is used upon a coxph object, the 'n' returned is vastly smaller (n=6) than the number of distinct loans in the dataset used. I am trying to estimate a Cox proportional hazards model for a set of loans (over 6000) using using time varying covariates. For this 6000+ loans, I have some 62,000 different vectors representing the loans at different periods of

Hi I would like to plot bar charts in a particular way. The intervals are not evenly distributed and are in a data frame column called size and the relative frequencies are in a second column called mass. Both size and mass are continuous ratio data to all intents and purposes. The data actually represents sieving of sand where $size is sieve aperture and where $mass is the amount remaining on

Is there a way to handle the widths of values being written to a file using wrtite.fwf() ? For example, I used read.fwf(file, width.vector) to read a file. After making the necessary data manipulation, I want to write the data to a new file in the same width.vector format. Is there a way to specify this? Thanks in Advance Aparna [[alternative HTML version deleted]]

Dear List, Sorry, this is very simple but I can't seem to find any information regarding line widths of plotting symbols in the lattice package. For instance, in traditional graphics: > plot(1:10,lwd=3) > points(10:1,lwd=2,col=3) 'lwd' allows control of plotting symbol line widths. I've tried looking through the documentation for xyplot, panel.points, trellis.par.set,

Full_Name: Tom Short Version: 1.9.1 OS: Win2000 & Debian Submission from: (NULL) (64.65.255.41) WISHLIST: axis() has a default parameter of "lwd = 1". I want skinnier lines as the default. If I change the default lty, it doesn't change what axis uses. The following code produces a graph with a box around it, but the axis lines are twice as thick as the box around the plot, so

> Hi All R guru's, > > A couple of simple questions which I cannot find answers to in "an > introduction to R" or in the reference manuals. > > I am running R on Win95, and have plotted up quite a nice box and whisker > plot: > > char<-read.table("n:/reddinm/grifpr~1/survey/char.txt") > attach(char) > boxplot(Al,Fe,OC,pH,

Is the width= parameter in barplot() supposed to work? I couldn't get it to work in my plot, and even in the example, data(VADeaths, package = "base") barplot(VADeaths, width=rep(0.1, 4)) the plot looks identical regardless of what I put in for the width. I looked at the source for barplot() and it looks like it SHOULD work (but what do I know). Am I doing something wrong?

Hello, I have tried to change the margin widths so that mtext (here "sd of consecutive pc intervals", look at the picture) and plot(...,xlab="bar") fits to the picture. Here is an example: http://users.utu.fi/attenka/margins.png This doesn't help: par(mar=c(5.1, 7.1, 4.1, 2.1)) And here are the commands: png(filename="/Users/kone/Vaitostutkimus/Pictures/

Hi! (a complete newby, but will not give up easily!) I was wondering if there is any way to decouple the axis and tick mark widths? As I understand they are both controlled by the lwd setting, and cannot be controlled independently? For example I might want to create major and minor ticks, which I now know how to do by superimposing two axes with different at settings, but what if I also wanted

I am trying to generate a graphic with a matrix of 9 line graphs (3 rows, 3 columns), all with the same y-axis range, and only showing the y-axis labels and title at the left edge of each row of the matrix. I have been trying to use the widths argument in layout to specify a larger column width in the left column so that I have room for the y-axis labels and title, but I get the following error:

Hello R users, I'm using xyplot (lattice) to plot some data. Unfortunately, the text that goes into each strip is often too big to fit. For instance, one of the factors may be labelled "Satisfaction with waiting time" which is too wide to fit. If I use split.string() to wrap it onto two lines it is then too high to fit in the strip. I'd prefer to apply split.string on the

Is there a way to make an FXTable''s column widths (and row heights) unchangeable by the user? By experimentation it looks to me like leaving out TABLE_COL_SIZABLE and TABLE_ROW_SIZABLE from the options field in FXTable.new() has no effect. I can still drag the intersection between two column heading buttons to change the column width. The code I''m using to test this is

Hi all, I''m using ferret 11.4 together with acts_as_ferret and I''ve indexed the geonames.org country files. These files contain worldwide locations in UTF-8 with all their different spellings each. Model definition is like this: class location acts_as_ferret :fields => {:location_names => {}}, :single_index => true ... end The instance method location_names

Hi Does anyone know of any R code for estimating a *multivariate* state space model using a Kalman filter where the output matrix H(t) is time-varying but predictable (i.e. measurable w.r.t information at time t-1) in the observation equation y(t) = H(t) z(t) + R w(t)? [Here y(t) are the observations, z(t) is the state variable, w(t) the observation error and R R' the observation error

Dear R users, I have repeated measurements on individuals. I want to estimate the time-varying effect of a factor variable X (taking three levels), e.g. a model in the spirit of Hastie and Tibshirani (1993). I am considering using the package "mgvc" which implements generalized additive models, especially the function gamm, which estimates generalized additive mixed models, and thus,

Hi, I've seen in the NestCohort package that one can do a hazard model with a binary outcome using covariates. I am interested in multistate hazard models with time-varying covariates, but can't seem to find this already implemented in an R package. Is this included somewhere but called something else? I feel like I've looked all over. Thanks! Michaela Gulemetova-Swan

Hello, I am trying to model an intensity function with time-varying covariates. Before, I have successfully defined a log likelihood function for a Power-Law Process (lambda(t)=alpha*beta*t^(beta-1)) with two paramters and no covariates for a repairable systems with failure times (t). This function was maximized with R optim. No problem! But now I want to include a covariate indicating a

Dear R-users, I am trying to estimate a state space model of the form (1) b_t = G * b_t-1 + w_t w_t ~ N(0,W) (2) y_t= A' * x_t + H' * b_t + v_t v_t ~ N(0,V) (Hamilton 1984: 372) In particular my estimation in state space form looks like (3) a3_t = 1 * a3_t-1 + w_t w_t ~ N(0,W) (4) g_t = (a1, a2) * (1, P_t)' + u_t * a3_t + v_t v_t ~ N(0,V) where g_t is the

Hi, I've been searching CRAN and the web for a recursive multivariate filter with time-varying coefficients. What I mean is the following: I have a series of square matrices A_t an initial value vector y_0 and I need to compute y_t =A_t%*%y_t-1 As these y_t may diverge quickly and/or lead to underflow problems, the y_t need to be scaled by eg y_t =y_t/sum(y_t-1) Is anyone aware