similar to: Query on R plot : Unequispaced label on x-axis

Dear Sir/madam, I'm getting a problem with a R-code which calculate Fisher Information Matrix for Hybrid Censored Weibull Distribution. My problem is that: when I take weibull(scale=1,shape=2) { i.e shape>1} I got my desired result but when I take weibull(scale=1,shape=0.5) { i.e shape<1} it gives error : Error in integrate(int2, lower = 0, upper = t) : the integral is probably

Dear Sir/Madam, I'm getting a problem with a R-code which converts a data frame to a matrix. It first generate a (m^(n-m) * m) matrix A and then regenerate another matrix B having less dimension than A which satisfy some condition. Now I wish to assign each row of B to a vector as individual. My problem is when I set any choice of (n,m) except m=1 it works fine but setting m=1 I got the

Hi, I would like to combine multiple xyplots into a single, multipanel display. Using R 3.0.1 in Ubuntu, I have used c() from latticeExtra to combine three plots, but the x-axis for two plots are on a log scale and the other is on a normal scale. I also have included equispace.log=FALSE to clean up the tick labels. However, when I try all of these, the x-axis scale of the first panel is used

Dear all, I got a couple of warnings using panel.levelplot.raster, In panel.levelplot.raster(..., interpolate = TRUE) : 'y' values are not equispaced; output will be wrong although I was quite sure my data were equally spaced (indeed, I created them with seq()). A closer look at the source code reveals that the function tests for exact uniformity in grid spacing, if

Estimada comunidad, estoy haciendo un grafico con la funcion xYplot (paquete Hmisc) para agregar barras de error a los puntos del grafico. Pero pasa algo que no me gusta: aparece el nombre de las series en el grafico. Alguien sabe como puedo eliminarlas ? no quiero usar ggplot porque ya tengo hechos todos los graficos con lattice. Aqui el codigo que uso y los datos (estan separados por tab, no

"vector[s]" should be plural in line 54 ... cheers Ben Bolker ---- Index: ts.Rd =================================================================== --- ts.Rd (revision 75540) +++ ts.Rd (working copy) @@ -54,7 +54,7 @@ } \details{ The function \code{ts} is used to create time-series objects. These - are vector or matrices with class of \code{"ts"} (and additional

I have an irregular time series in a Zoo object, and I've been unable to find any way to do an FFT on it. More precisely, I'd like to do an NFFT (non-equispaced / non-uniform time FFT) on the data. The data is timestamped samples from a cheap self-logging accelerometer. The data is weakly regular, with the following characteristics: - short gaps every ~20ms - large gaps every ~200ms

Hi all, I have posted similar questions regarding this topic, but I just can't seem to get over the hump and find a straightforward way to do this. I have attached my file as a reference. Basically, the attached file is a 5 degree by 5 degree grid of the the world (2592 cells), most of them are NA's. I just want to be able to plot this grid over a world map and color code the cells. For

Estimados, tengo el siguiente problema: Tengo que graficar la concentracion de un metabolito en algunas muestras contra la concentracion del solvente con que fue extraido. Las concentraciones varian desde cero (para un control) hasta varios miles de unidades de concentracion (miliMolar). Para que se puedan diferenciar los puntos en el eje X, se ha usado una escala logaritmica. Hasta ahi todo

I have some time stamped events that are supposed to be unrelated. I have plotted them and that assumption does not appear to be valid. http://metrak.com/tmp/sevents.png is a plot showing three sets of events over time. For the purpose of this exercise, the Y value is irrelevant. The series are not sampled at the same time and are not equispaced (just events in a log file). The plot is

Hi All, I am fitting a tree to censored survival data using the rpart package and wanted to better understand the results. I am trying to interpret the output from the tree. I am interested in understanding what "yval" is for a survival tree. I see in the output of summary, the phrase "estimated rate". The estimated rate is 1 for the entire tree, and more of less for each

Hi All, Please pardon me if I am missing something obvious here. How do I get the Kaplan-Meier estimate function that is created by survfit and plotted by the code. fit <- survfit(Surv(time, status) , data=aml) plot(fit) That is, I need a function that will give me the survival estimate at a given time: \hat{S}(t). Thanks in advance. Ritwik Sinha ritwik.sinha at gmail.com | +12033042111 |

How can I condition any error bar function that use the arrows() function, such as 'CI.plot' (see example below) or 'error.bars', to draw only upper error bar (upper CI) if the bar value (mean) is positive and the lower error bar (lower CI) if bar value is negative? CI.plot <- function(mean, se,length, ylim=c(-5, max(CI.H)), ...) { CI.H <- mean+se CI.L <- mean-se

Hi, I installed the package Hmisc with the command install.packages("Hmisc") without errors. When I try to load the library with command library(Hmisc) I get the error > library(Hmisc) Error in library(Hmisc) : there is no package called 'Hmisc' > version _ platform i386-pc-linux-gnu arch i386 os linux-gnu system i386,

Hi All, We are running Round cube on top of dovecot and postfix as our email echo system. Main problem we are facing is that, roundcube loads really slow for big inboxes (~5000 emails). I found that, while it loads, imap process goes high in terms of CPU utilization(~90%). I asked it in some roundcube support group, They believe that it is related to dovecot not roundcube. Can you shed any

Dear R list, Can anyone help with a plotting question? I'm trying to display some data on a plot and I've almost got the format I need (see code below), but 2 things I can't get: 1. How to get "Jan","Feb","Mar" on the x=axis instead of 1:3? 2. How to get "T"s on the end of my error bars like you have in standard scientific plots? Any comments

Hi, The code below is giving me this error message: Error in while (err > eps) { : missing value where TRUE/FALSE needed In addition: Warning messages: 1: In dnbinom(x, size, prob, log) : NaNs produced 2: In dnbinom(x, size, prob, log) : NaNs produced I know from the help files that for dnbinom "Invalid size or prob will result in return value NaN, with a warning", but I am not able

Dear R users: I have a dataset with two variables (>20000 observations, two samples from same subject) and I used "kernSur" from library(Genkern) to get a estimated bivariate density and corresponding plots as follows: new.data.normal<-data.normal[!is.na(data.normal[,2]),] x<-new.data.normal[,2] y<-new.data.normal[,3] op <- KernSur(x,y, xgridsize=50, ygridsize=50,

I am having trouble getting smooth-appearing curves in figures produced as windows metafiles using R (R-1.1.1 on Windows 98). When I import them into a word processor (either MS Word 97, or WordPerfect 9.0), the figures appear only slightly bumpy on screen, but when printed, there is a clear jaggedness reminiscent of aliasing. Is there a fix for this (if the answer is "upgrade to 1.2",

Hi List, I have a problem plotting data using the lineplot.CI command in the sciplot package. I want to plot the data of 2 experimental cases using different lines (traces). Time is on the X-axis. The tricky thing is that the data collection in the second case started later than for the first case. This is to say: the first n data points for the second case are missing. So far so good. However,