similar to: R-alpha: confidence interval of t.test

Hi, I have a circular shaped set of point on the plane (X,Y) centered in zero. The distribution is more dense close to zero and less dense far from zero. I need to find the radius of a circle centered in zero that contains 65% of the points in the sample. Is there any R directive that can do this? I wanna start with 2D set of points, but the real case scenario is with a 5D set of points.

This is a function I coded a few years ago to calculate a confidence interval for a coefficient of variation. The code is based on a paper by Mark Vangel in The American Statistician. I have not used the function much, but it could be useful for comparing cv's from different groups. Kevin Wright confint.cv <- function(x,alpha=.05, method="modmckay"){ # Calculate the

hi, at first; thanks for the help on getting confidence intervals in R. now I have a pure statistical question. I hope you don't mind if I ask ... I have an expectation of how large my beta-weight in a regression should be - so I have an "ideal" or expected regression line. Now the real beta-weight is less then the expected and when I draw the confidence interval lines

Hi Does anyone know whether the rms package provides a confidence interval for the bootstrap-corrected Dxy or c-index? I have fitted a logistic model, and would like to obtain the 95% confidence interval of the bootstrap-corrected area under the ROC curve estimate. Thanks. [[alternative HTML version deleted]]

Dear R-friends I fitted a regression using GLM and plotted fitted values agaist X axis. Now I need plot upper and lower confidence intervals (95%) for this fit. Acoording to ?lm help and can use something like : [ predict.lm(mod, se.fit=T, interval = "confidence", level=.95) ] to estimate confidence intervals. In fact this command run fine, but I can´t plot upper and

Dear R users, I have a very simple query. I am using bootstrap (library(boot)). I want to access the std. error in the results and further generate confidence interval(CI) for n no. of samples which will give me n values for std. error and CI. * * b1 ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = int.inc, statistic = med, R = 1000) Bootstrap Statistics : original bias std. error

Hi R users! Is there a function that extracts the simultaneous confidence intervals for multinomial proportions as described by Sison and Glaz 1995? or anyone else for that matter? I have seen that SAS has macro for this ( http://www.jstatsoft.org/v05/i06) and i was wondering if R had something similar? Thank you and have a great day ahead! ---------------------------------

Dear all, Is there a way to plot / calculate pointwise confidence bands or interval values for a non parametric regression like sm.regression? Thank you in advance. Regards, Martin

Hello, is there anyone who has some ideas about the problem I posted? Help! [[alternative HTML version deleted]]

Dear r-helpers, I have a small dataset (n<50), and I want to compute the Hodges Lehmann exact confidence interval. So far, I know that "pairwiseCI" has the function "HL.diff". The description is as follows : HL.diff calculates the Hodges-Lehmann confidence interval for the difference of locations by calling wilcox.exact in package exactRankTests ; But when I check

Hi guys, I have a data set that consists of 50 samples.each sample has 40 records( 20 male,20 female). Kindly assist on how i can calculate the AR (accuracy ratio) for each of the samples and then after come up with a confidence interval for the AR's Regards, Mike [[alternative HTML version deleted]]

Dear all, Is there any package or function can do the pointwise confidence interval and confidence band for the local polynomial regression? Maybe the local linear regression is enough. Thanks. Regards, Zhen

Dear All, I am trying to calculate a 95% confidence interval for the difference in two c statistics (or equivalently D statistics). In Stata I gather that this can be done using the lincom command. Is there anything similar in R? As you can see below I have two datasets (that are actually two independent subsets of the same data) and the respective c statistics for the variables in both cases.

Hi, Is it possible to calculate confidence intervals for support vector regression? In the "ksvm{kernlab}" manual, it says that it supports confidence intervals for regression. However, i couldn't find any information about how to calculate confidence interval. Do you have any documents or examples about this or any other suggestions? Thanks in advance -- [[alternative HTML

Dear R-Helpers Has anyone written a script for the dose proportionality assessement using the power model and the confidence interval criteria as described in - Gough at al. Assessment of dose proportionality: report from the statisticians in the pharmaceutical industry in Drug Information Journal,1995, 29:1039-1048 and/or - Smith et al. Confidence interval criteria for assessment of dose

List, Would someone be so kind as to point me to a function that will calculate simultaneous confidence intervals of regression coefficients based upon their distribution as (under the assumption of normal errors, with \mathbf{X} as the design matrix): $\hat{\mathbf{\beta}} \sim N(\mathbf{\beta}, \sigma^2(\mathbf{X}^T\mathbf{X})^{-1})$. 'confint' calculates individual coefficients so

Good morning, I am trying to find a S-Plus code which shows how to find a confidence interval using a bootstrapping on a corrected correlation value of a two bivariate variables. If you happen to know one, please shows me. I am greatly appreciated your help. Have a wonderful day, Minh -- View this message in context:

Hello, I have got a simple "cosmetic" question. I have created a bar plot with confidence intervals using: barplot(mean, ylim = c(0,0.2), las = 3, space = 0) arrows(1:17 ,X95p_low, 1:17, X95p_high, length = 0.07, angle = 90, code = 3, lty = 1) Unfortunately, the confidence bars align with the right side of the bars and I would like to shift these to the middle of the bars. Is

Hi, May I know how to obtain the confidence interval of the survival curve of weighted Cox regression model? I tried coxph, cph, and coxphw, but they did not work. Any help would be much appreciated. Thanks, Jeanne -- View this message in context: http://r.789695.n4.nabble.com/Confidence-interval-of-Survival-Curve-of-Weighted-Cox-Regression-tp3308085p3308085.html Sent from the R help mailing

Hi all, I'm wondering whether it is possible to construct a confidence interval using only the mean, variance, skewness and kurtosis, i.e. without any of the population? If anyone could help with this it'd be much appreciated (even if just a confirmation of it being impossible!). Thanks. -- View this message in context: