search for: intervale

Hi, I would like to add confidence intervales to an ANCOVA with 2 covariates when using xyplot. What would be a good way of accomplishing this? --8<---------------cut here---------------start------------->8--- rm(list = ls(all = TRUE)) rm(list = c(ls())) library(lattice) ## 1. generate data random <- rnorm(200) y <- abs(random...

...33.91 32.52 3.16 4.85 2.78 4.67 1.31 [51] 12.06 36.71 72.89 1.97 0.59 2.58 1.69 2.71 25.50 0.35 [61] 0.99 3.99 3.67 2.07 0.96 5.35 2.90 13.77 0.47 0.73 [71] 1.40 0.74 0.39 1.13 0.09 2.38 >and i have an intervale I[j]<- leftaj, rightaj HERE I CAN T PROGRAMATE THIS INTERVAL >SO i have >> leftaj [1] 0 1.179 3.729 9.418 18.010 29.746 58.662 131.566 > rightaj [1] 1.179 3.729 9.418 18.010 29.746 58.662 131.566 2323.700 >i want to count...

Dear R-Users, I am resending this message just to reminder my question regarding the calculation of a bootstrap confidence intervals for a GAM plot. I am trying to apply a bootstrap to a GAM in order to calculate the 95% confidence intervals for a smooth curve obtained by the ?plot.gam? function of the mgcv package. Nonetheless, I am getting some difficulties in transposing the results for

Dear R, I am using this R version:R version 2.11.1 (2010-05-31)(Cran Mirror Berlin) It seems to me, that R constructs a wrong confidence intervall if you try to get a one sided t-test. If the true mean is 1 and my alternative hypothesis (H1) says that mu is smaller ("less")than zero the conf. intervall should reach +∞ and not -∞ if it is constructed for the H0 saying that mu is

Hello, I am using maptools for plooting geographical data. The colour of the region indicates some region dependent value (population for example). I pass the colours of the regions to the plot.Map function by defining the foreground colour: jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow",

Hi everybody, I am sorry that I am kind of spamming this forum, but I have searched for some input everywhere and cant really find a nice solution for my problem. Data looks like: price 2011-11-01 08:00:00 0.000000000 2011-11-01 08:00:00 0.000000000 2011-11-01 08:02:00 0.000000000 2011-11-01 08:03:00 -0.017033339 2011-11-01 08:13:00 0.000690001 2011-11-01

Hello, I am a little bit confused regarding the density values obtained from the function kde2d() from the package MASS because the are not in the intervall [0,1] as I would expect them to be. Here is an example: x <- c(0.0036,0.0088,0.0042,0.0022,-0.0013,0.0007,0.0028,-0.0028,0.0019,0.0026,-0.0029,-0.0081,-0.0024,0.0090,0.0088,0.0038,0.0022,0.0068,0.0089,-0.0015,-0.0062,0.0066) y <-

Hello I recently switched from apcupsd to NUT2.2.2 without any troubles. I tried to figure out how I can configure the self-test intervall. The command upsrw lists only the variables battery.charge.low battery.runtime.low ups.delay.shutdown ups.delay.start The command usbhid-ups -D and the listing under http://obsvermes.org/cgi-bin/nut/upsstats.cgi?host=apcsmart at localhost&treemode

Hi List, I have start and end times of events structure(list(start = c("15:00", "15:00", "15:00", "11:00", "14:00", "14:00", "15:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00", "12:00",

Hi, I am new to R. Anyone can explain the following from R-help or anyone can direct me how to calculate odds ratio from logistic model in R. Thank you very much. Guoya Stefano <stecalza at tiscalinet.it <https://stat.ethz.ch/mailman/listinfo/r-help> > writes: >Hi all. > >A simple question. >Is there a function to compute the Odds Ratio and its confidence intervall,

Hi, last week I installed 2 servers with two dovecot nodes and replication in active/active mode located in different datacenters. Based on the howto from wiki "http://wiki2.dovecot.org/Replication" it works great. According to the wiki it is recomended to run "doveadm purge" on both systems continously, because "doveadm purge" will not be replicated by the

Hello! I want to calculate simultaneous confidence intervals for a nominal variable with three categories: "yes", "no", "partially" and I expect that far more than 5 samples fall into each category. I have read that Glaz & Sison's method is only appropriate for variables with 7 or more categories. Therefore, the Goodman method seems like a good idea. I have

Hi all. A simple question. Is there a function to compute the Odds Ratio and its confidence intervall, from a logistic model (glm(.......,family=binomial....). I've written my own, but certainly someone did a better job. Thank you in advance, Stefano *********************************************** Stefano Calza Istituto di Statistica Medica e Biometria Universit? degli Studi di Milano Via

Hi I'm using the "image" function to produce a plot and I want to define the breaks using "cut" and the colors using "heat.colors". > image(interp(mat2[,2],mat2[,1],mat2[,3]),breaks=cut(mat2[,3],30),col=heat.colors(29)) Error in image.default(interp(mat2[, 2], mat2[, 1], mat2[, 3]), breaks = cut(mat2[, : must have one more break than colour The

Hi, I am using the reldist package and having problems determining the p-value for the entropy value from the reldist function. I am able to properly determine the entropy value, but cannot figure out what function to use to find the p-value. I have tried using rpy, rpluy (which provides p-values for the polarization values) and investing the results from reldist(). Thus, far I cannot find the

Hello, I am a very new user to R so please have patience with me. :clap: I am trying to evalute the "internal response" for a couple of different cluster methods with the help of the AdjustedRandIndex, which is included in the mclust package. However, I do get a bit puzzled when I get a negative value as the value should be in intervall of [0,1], am I correct? Have I done something

Dear all, I am searching for a way to compute a test comparable to Chuang et al. ("Causality in Quantiles and Dynamic Stock Return-Volume Relations"). The aim of this test is to check wheter the coefficient of a quantile regression granger-causes Y in a quantile range. I have nearly computed everything but I am searching for an estimator of the density of the distribution at several

hello, i managed to get CI's for my curve - but now I need the intervall for a certain y point (y_tenth) of the curve.. can anyone help me with this? #####data: por<-data.frame(list(structure(list(run = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), .Label = c("1", "3", "4"), class = "factor"), press = c(15, 21, 24, 29.5, 15, 21,

Hi I have a plist t which contains size measurements of individual plants, identified by the field "plate". It contains, among other, a field "year" indicating the year in which the individual was measured and the "height". The number of measurements range from 1 to 4 measurements in different years. My problem is that I would need the LAST measurement. I only

Hello, I have a list of data.frame rowsplit : List of 15 $ (0,0.025] :'data.frame': 169 obs. of 7 variables: $ (0.025,0.05]:'data.frame': 174 obs. of 7 variables: $ (0.05,0.075]:'data.frame': 92 obs. of 7 variables: $ (0.075,0.1] :'data.frame': 76 obs. of 7 variables: $ (0.1,0.125] :'data.frame': 37 obs. of 7 variables: $