[R] confidence interval around Aalen-Johansen if no events

Hi all, I'd like to calculate confidence intervals around Aalen-Johansen estimates at given time points. And later I'd like to be able to compare the Aalen-Johansen estimates at given time points between groups. My problem is, that there are no events recorded. So my question is: Does anyone

Re: [R] Confidence Interval for p1-p2 and plot the CI with bar chart

Hi Jim: Thank you very much for your help in this topic. with many thanks abou __ *AbouEl-Makarim Aboueissa, PhD* *Professor, Statistics and Data Science* *Graduate Coordinator* *Department of Mathematics and Statistics* *University of Southern Maine* On Sat, Nov 13,

Re: [R] Confidence Interval for p1-p2 and plot the CI with bar chart

Hi Abou, Perhaps this will be helpful. Be aware that you will cop some flak for putting error bars on a bar plot. aadat<-data.frame(group=c(rep("Exp",50),rep("Con",50)), v1=sample(0:1,100,TRUE), v2=sample(0:1,100,TRUE), v3=sample(0:1,100,TRUE), v4=sample(0:1,100,TRUE),

[R] Confidence Interval for p1-p2 and plot the CI with bar chart

Dear All: I do have a binary data set with multiple variables, event = 1 in all variables. As an example, I attached a data set with 6 variables. The first column is the grouping variable. Then the next 5 columns are the binary data for 5 variables. - Can we compute the confidence interval

Re: [R] confidence interval

On 4/26/20 11:26 AM, Alex Serafim wrote: there is a function called "confbands", which is no longer available in software R. It is not "confband" or "confBands", but "confbands", I need to use this object to add confidence intervals in my work. Why is this function not available? attached is

[R] confidence interval

there is a function called "confbands", which is no longer available in software R. It is not "confband" or "confBands", but "confbands", I need to use this object to add confidence intervals in my work. Why is this function not available? attached is an image that shows how the graph should look,

Re: [R] Confidence interval on quantile regression (quantreg)

Depending on the procedure used for estimating the CI, especially if the default rankscore inversion method, then it is possible that legitimate end points of the intervals for some quantiles with a given alpha (e.g., 0.05 for 95% CI) cannot be refined beyond plus or minus infinity. Of course,

[R] Confidence interval on quantile regression (quantreg)

Hi all, I am using the quantile regression package for estimating some models. However, in some cases the intervals' upper bounds are either abnormally high or low, with values such as -1.797693e+308 or 1.797693e+308. Actually, the number is the same in absolute terms. Does anyone know a

Re: [R] Confidence Interval for Ipred Bagging outputs ?

> On Mar 19, 2016, at 12:36 AM, Majid Javanmard > wrote: > > Hello everyone > > here is the code that implements bagging using ipred package in R : > > library(ipred) > library(mlbench) > data("BostonHousing") > # Test set error (nbagg=25, trees pruned): 3.41

[R] Confidence Interval for Ipred Bagging outputs ?

Hello everyone here is the code that implements bagging using ipred package in R : library(ipred) library(mlbench) data("BostonHousing") # Test set error (nbagg=25, trees pruned): 3.41 (Breiman, 1996a, Table 8) mod <- bagging(medv ~ ., data=BostonHousing, coob=TRUE) print(mod) pred <-

[R] Confidence Interval for Ipred Bagging outputs (please help)

Hello everyone here is the code that implements bagging using ipred package : library(ipred) library(mlbench) data("BostonHousing") # Test set error (nbagg=25, trees pruned): 3.41 (Breiman, 1996a, Table 8) mod <- bagging(medv ~ ., data=BostonHousing, coob=TRUE) print(mod) pred <- predict(mod)

[R] Confidence Interval for R-squared

To the list, Does R have a function for computing the confidence interval of R-squared (coefficient of determination)? I checked R's Help function with “confidence interval” as the query but none of the packages and functions that R found pertain to R-squared. Thanks in advance for your help.

Re: [R] Confidence Interval for R-squared

Hi Raul, Searching for "confidence interval of R-squared" on rseek.org turns up some packages that might be of use, including bootstrap and MBESS. On Tue, Jan 26, 2016 at 3:11 PM, R Martinez wrote: > To the list, > > Does R have a function for computing the confidence

Re: [R] Confidence Interval for R-squared

ment of Social and Health Services > -Original Message- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of R Martinez > Sent: Tuesday, January 26, 2016 12:12 PM > To: r-help@r-project.org > Subject: [R] Confidence Interval for R-squared > > To the list, &g

Re: [R] Confidence Interval for R-squared

77840-4352 -Original Message- From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of R Martinez Sent: Tuesday, January 26, 2016 2:12 PM To: r-help@r-project.org Subject: [R] Confidence Interval for R-squared To the list, Does R have a function for computing the confidence interval of

[R] Confidence interval for the mean in the random intercept and random slople model

Hi all, I am fitting a random slope and random intercept model usign lme fucntion as shown below. Type is factor with two levels. I would like to to find a confidence interval for mean of this model. Note that the variance we use in finding the confidence interval should include the variariance

[R] confidence interval for wilcox_test

Hello, When using wilcox_test from coin I got a sample estimator which does not lie in the confidence interval.(see below) How is that possible? (The documentation said that both referre to some kind of pseudo median but it seems to be the same for both the confidence interval and the samplle

[R] Confidence interval, multiple imputation

Hi to everyone, I have a big data set where rows are observations and columns are variables. It contains a lot of missing values. I have used multiple imputation with library mice and I get an “exact” prediction of each missing value. Now, I would like to know the error I can commit or the

[R] confidence interval in rpart

Hi, I am using rpart with method=anova.Can we compute 95% confidence intervals and prediction interval for the predicted mean at each node? Thanks, Puja [[alternative HTML version deleted]] __ R-help@r-project.org mailing list

[R] Confidence Interval Calculation

Hello, I have the following r-codes for solving a quasilikelihood estimating equation: library(geepack) fit-geese(y~x1+x2+x3,jack=TRUE,scale.fix=TRUE,data=dat,mean.link = logit, corstr=independence) Now my question is how can I calculate the confidence interval of the parameters of the above

[R] confidence interval calculation for gee

Hello, I have the following r-codes for solving a quasilikelihood estimating equation: library(geepack) fit-geese(y~x1+x2+x3,jack=TRUE,id=id,scale.fix=TRUE,data=dat,mean.link = logit, corstr=independence) Now my question is how can I calculate the confidence interval of the parameters of the

Re: [R] confidence interval calculation for gee

At 04:26 8/04/2013, you wrote: Hello, I have the following r-codes for solving a quasilikelihood estimating equation: library(geepack) fit-geese(y~x1+x2+x3,jack=TRUE,id=id,scale.fix=TRUE,data=dat,mean.link = logit, corstr=independence) Now my question is how can I calculate the confidence

Re: [R] confidence interval for survfit

The first thing you are missing is the documentation -- try ?survfit.object. fit - survfit(Surv(time,status)~1,data) fit$std.err will contain the standard error of the cumulative hazard or -log(survival) The standard error of the survival curve is approximately S(t) * std(hazard), by the

Re: [R] Confidence interval for Support Vector Regression

Have you found a solution for this? I am also trying to find a way to retrieve the confidence intervals for the predictions. Best regards, João Oliveirinha On Sunday, October 30, 2011 7:04:03 PM UTC, Muhammed Akbulut wrote: Hi, Is it possible to calculate confidence intervals for support

[R] Confidence interval for Whittle method

Hello, How could we get the confidence interval when using the whittleFit method from fArma package? -- Thanks, Barun Saha __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide

[R] Confidence Interval from Moments?

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. --

Re: [R] Confidence Interval from Moments?

Assuming a distribution defined solely by those moments it is possible (e.g., z- or t-test confidence intervals) but this isn't really the place to discuss such things since there's no R content to your question: try stats.stackexchange.com Michael On Wed, Jan 11, 2012 at 4:56 AM, lambdatau

[R] Confidence interval for Support Vector Regression

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

[R] Confidence interval or p-value for difference in two c-statistics

Dear All, Apologies if you have a seen a question like this from me before. I am hoping that if I re-word my question more carefully someone may be able to offer more help than the last time I asked something similar. I am using R 2.9.2 and Windows XP. I am trying to determine if there is a

[R] confidence interval as shaded band (lme)

Hi all, I’m trying to plot confidence intervals for the fitted values I get with my lme model in R. Is there any way I can plot this in the form of a shaded band, like the output of geom_smooth() in ggplot2 package. ggplot2 seems to use only lm, glm, gam, loess and rlm as smoothing methods.

Re: [R] confidence interval as shaded band (lme)

I don't know lme models very well, but if you have standard errors for your values, this shouldn't be too hard (as a last resort) using polygon() For example x = 1:10 y = x^2 y.Err = 2*x y.Up = y + y.Err; y.Dn =y-y.Err # This graph is actually quite ugly so don't copy the formatting

Re: [R] confidence interval as shaded band (lme)

Hi: On Mon, Aug 8, 2011 at 10:07 AM, bjmjarrett bjmjarr...@gmail.com wrote: Hi all, I’m trying to plot confidence intervals for the fitted values I get with my lme model in R. Which fitted values? The ones conditional on the random effects or the ones averaged over the random effects? The

Re: [R] confidence interval as shaded band (lme)

Would someone tell me how they propose to go from standard errors to confidence intervals*. I suspect Doug Bates would probably like to know, also, as he has expended a lot of effort on this over the years, I believe. :-) -- Bert * Note +/- 2 std errors is almost certainly not the right

Re: [R] Confidence interval from resampling

On 24/06/11 01:44, Adriana Bejarano wrote: Dear R gurus, I have the following code, but I still not know how to estimate and extract confidence intervals (95%CI) from resampling. SNIP Some sound advice --- still sound after all these years I believe --- in respect of boot strap confidence

[R] Confidence interval from resampling

Dear R gurus, I have the following code, but I still not know how to estimate and extract confidence intervals (95%CI) from resampling. Thanks! ~Adriana #data

Re: [R] Confidence interval from resampling

On Jun 23, 2011, at 9:44 AM, Adriana Bejarano wrote: Dear R gurus, I have the following code, but I still not know how to estimate and extract confidence intervals (95%CI) from resampling. If you have a distribution of values, say resamp.stat, of a statistic from a properly performed

Re: [R] Confidence interval from resampling

[mailto:r-help-boun...@r-project.org] On Behalf Of David Winsemius Sent: 23 June 2011 15:25 To: Adriana Bejarano Cc: r-help@r-project.org Subject: Re: [R] Confidence interval from resampling On Jun 23, 2011, at 9:44 AM, Adriana Bejarano wrote: Dear R gurus, I have the following code

[R] confidence interval on mean in log-regression

Hello- I am looking for R function that will give me some proper confidence intervals on un-transformed mean prediction when performing a linear regression on log-transformed data. I am referring to the UMVU estimate, the el-shaarawi and viveros (1997) estimate, or the Wu, wong, and Wei (2005)

[R] Confidence Interval of Specral Density Plot

Dear Users, I wish to know at what confidence level is the confidence interval provided in the Spectrum function (plot.spec) plots. The only information provided in the help regarding this is : a confidence interval will be plotted by plot.spec: this is asymmetric, and the width of the

Re: [R] Confidence Interval of Specral Density Plot

On May 21, 2011, at 3:27 AM, Zablone Owiti wrote: Dear Users, I wish to know at what confidence level is the confidence interval provided in the Spectrum function (plot.spec) plots. The default level is clearly indicated in the arguments of the Usage section on the help page of

[R] Confidence interval for difference in Harrell's c statistics (or equivalently Somers' D statistics)

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

Re: [R] Confidence interval for difference in Harrell's c statistics (or equivalently Somers' D statistics)

On May 5, 2011, at 8:20 AM, Laura Bonnett wrote: 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? Have

Re: [R] Confidence interval for difference in Harrell's c statistics (or equivalently Somers' D statistics)

Dear David, Thank you for your reply. I have come across rcorrp.cens before. However, I'm not sure it does quite what I want it to. It seems to compare whether one predictor is more concordant than another within the same survival function. I want to see whether one predictor is more

[R] Confidence interval for the difference between proportions - method used in prop.test()

Hello, Does anyone know which method from Newcombe (1998)* is implemented in prop.test for comparing two proportions? I would guess it is the method based on the Wilson score (for single proportion), with and without continuity correction for prop.test(..., correct=FALSE) and prop.test(...,

Re: [R] Confidence interval for the difference between proportions - method used in prop.test()

Hi Stefanie, Just to be clear, we are talking about differences in the third or lower decimal place (at least with R version 2.13.0 alpha (2011-03-17 r54849), Epi_1.1.20). This strikes me as small enough that both functions may be implementing the same method, but maybe slightly different ways

Re: [R] Confidence interval for the difference between proportions - method used in prop.test()

Dear Steffi, On Tue, Apr 5, 2011 at 7:26 AM, Stefanie Von Felten svonfel...@uhbs.ch wrote: Dear Josh, Thanks for your help! Does your answer mean, that you agree the two methods should do the same, and what I was guessing, despite the small differences? That would be my guess, but I have

Re: [R] Confidence interval of Survival Curve of Weighted Cox Regression

On Feb 15, 2011, at 9:05 PM, jeanneyue wrote: 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. One possible reason that this question

Re: [R] Confidence interval of Survival Curve of Weighted Cox Regression

--- begin included message --- 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. end inclusion --- Use the latest version of the survival

[R] Confidence interval of Survival Curve of Weighted Cox Regression

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:

Re: [R] Confidence interval

On 2011-02-13 18:31, Joshua Wiley wrote: Hi, The logical operators are actually vectorized, so I do not think you need a loop. Does this do what you want? ## Some data set.seed(10) dat- matrix(rnorm(500, sd = 3), nrow = 80) ## Hypothetical confidence interval ci- c(-5, 5) ## Find the number

[R] Confidence interval

Hi, I am trying to determine how many points fall ouside the confidence interval range. This is the code I have so far but it does not work. Any help would be appreciated. Count - vector () for (i in 1: nrow (dataname)){ if (dataname[i] l.ci.post[1]// dataname[i] u.ci.post[i]){ count[i] - 1

Re: [R] Confidence interval

Hi, The logical operators are actually vectorized, so I do not think you need a loop. Does this do what you want? ## Some data set.seed(10) dat - matrix(rnorm(500, sd = 3), nrow = 80) ## Hypothetical confidence interval ci - c(-5, 5) ## Find the number of points outside interval sum(dat

Re: [R] Confidence interval based on MLE

On 2011-2-6 22:56, Ben Bolker wrote: Jinsong Zhaojszhaoat yeah.net writes: Hi there, I have fitted a sample (with size 20) to a normal and/or logistic distribution using fitdistr() in MASS or fitdist() in fitdistrplus package. It's easy to get the parameter estimates. Now, I hope to report

[R] Confidence interval based on MLE

Hi there, I have fitted a sample (with size 20) to a normal and/or logistic distribution using fitdistr() in MASS or fitdist() in fitdistrplus package. It's easy to get the parameter estimates. Now, I hope to report the confidence interval for those parameter estimates. However, I don't find

Re: [R] Confidence interval based on MLE

Jinsong Zhao jszhao at yeah.net writes: Hi there, I have fitted a sample (with size 20) to a normal and/or logistic distribution using fitdistr() in MASS or fitdist() in fitdistrplus package. It's easy to get the parameter estimates. Now, I hope to report the confidence interval for

[R] confidence interval

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

Re: [R] confidence interval

On Jan 21, 2011, at 11:33 AM, Francesco Petrogalli wrote: 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

[R] Confidence interval on quantile regression predictions

I am using the quantreg package to build a quantile regression model and wish to generate confidence intervals for the fitted values. After fitting the model, I have tried running predict() and predict.rq(), but in each case I obtain a vector of the fitted values only. For example:

Re: [R] Confidence interval on quantile regression predictions

You need to add explicitly newdata = list(x=x) and if you want percentile method you also need se = boot. Roger Koenker rkoen...@illinois.edu On Jan 11, 2011, at 3:54 AM, Davey, Andrew wrote: I am using the quantreg package to build a quantile regression model and wish to generate

Re: [R] confidence interval for logistic joinpoint regression from package ljr

dear M., I do not know how to get the SE for the joinpoint (or breakpoint) from your ljr fit. However you can find useful the segmented package which works for any GLM (including the logistic one) and it returns (approximate) StErr (and Conf Int) also for the joinpoint (breakpoint in the

[R] confidence interval for logistic joinpoint regression from package ljr

I´m trying to run a logistic joinpoint regression utilising the ljr package. I´ve been using the forward selection technique to get the number of knots for the analysis, but I´m uncertain as to my results and the interpretation. The documentation is rather brief ( in the package and the stats

[R] Confidence interval for response variable in mixed effects models

HI, I am using lmer() for a simple mixed effects model. The model is of the form logit(y)~ x + (1|z), where x is an indicator variable and z a multi-level factor. I would like an estimate of the response variable (either y or logit y) with an associated confidence interval for a given value of

Re: [R] Confidence interval for response variable in mixed effects models

Brian Willis brian.willis at manchester.ac.uk writes: I am using lmer() for a simple mixed effects model. The model is of the form logit(y)~ x + (1|z), where x is an indicator variable and z a multi-level factor. I would like an estimate of the response variable (either y or logit y) with

Re: [R] Confidence interval for response variable in mixed effects models

On Oct 30, 2010, at 11:33 AM, Brian Willis wrote: HI, I am using lmer() for a simple mixed effects model. The model is of the form logit(y)~ x + (1|z), where x is an indicator variable and z a multi- level factor. I would like an estimate of the response variable (either y or logit y)

[R] Confidence Interval in ARMA mean GARCH model

Hi, How do I change Confidence Interval level (say from 95% to 80%) while getting prediction intervals for ARMA mean models, and GARCH models in R? TIA Aditya __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do

[R] Confidence interval calculation for intersection of two quadratic lines

How do I calculate the confidence interval for the value x given by the intersection of two quadratics (i.e. parabolas)? I fit two quadratics of the form: y = C1 + B1*x + A1*x^2 y = C2 + B2*x + A2*x^2 to two sets of points N1 and N2. I test for whether they intersect, if they do then I

[R] confidence interval for small non iid sample

hello, can someone tell me if there is a way to estimate a confidence interval for a small non iid sample. i computed a stratified boot.ci but i think it is not reasonable in the case of such a small sample - are there any alternatives, can a conf.interval in this case be estimated at all? for

[R] Confidence interval around a mean count (poisson based?)

Hello all, I am observing animals in a behavioural arena and recording their distance from a specific point at regular time intervals (large enough so that I can assume two successive positions are independent from each other). Each animal provides a complete histogram of distances which reflects

[R] confidence interval for negatively skewed, leptokurtic sample

Hello, I´ve got a statistical problem that I hope you can help me with. It doesn´t have to do directly with R, so if there´s another forum which would suit better, please tell me! Now here´s the problem: I want to derive confidence intervals for a variable X, which is - given the descriptive

[R] confidence interval for return levels

Dear List   From a sample size of 40 I have calculated retrun level values for 2,5,10,25,50 and 100 years using a exponentail disrtibution as follows;  Now how can I calculate confidence interval for each return levels? seeking your help. Thank you  

[R] Confidence interval on parameters from optim function

Hi everyone, I have two questions: I would like to get confidence intervals on the coefficients derived from the optim() function. I apply optim() to a given function f res - optim(c(0.08,0.04,1.),f,NULL,method=L-BFGS-B,lower=c(0.,0.,0.)) And I would like to get the p-value and confidence

Re: [R] Confidence interval on parameters from optim function

] Confidence interval on parameters from optim function Hi everyone, I have two questions: I would like to get confidence intervals on the coefficients derived from the optim() function. I apply optim() to a given function f res - optim(c(0.08,0.04,1.),f,NULL,method=L-BFGS-B,lower=c(0.,0.,0.)) And I would

Re: [R] Confidence interval on parameters from optim function

: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Devred, Emmanuel Sent: Wednesday, August 19, 2009 9:41 AM To: r-help@r-project.org Subject: [R] Confidence interval on parameters from optim function Hi everyone, I have two questions: I would like to get confidence

Re: [R] Confidence interval on parameters from optim function

Regrading your second question, I guess somehow you get undefined value like logarithm of zero of your target function for some unfortunate parameter values in the parameter space. Devred, Emmanuel wrote: Hi everyone, I have two questions: I would like to get confidence intervals on

Re: [R] Confidence interval on parameters from optim function

Healthcare greg.s...@imail.org 801.408.8111 -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- project.org] On Behalf Of Devred, Emmanuel Sent: Wednesday, August 19, 2009 7:41 AM To: r-help@r-project.org Subject: [R] Confidence interval on parameters from

Re: [R] Confidence interval?

Thomas Seth Davis Thomas.Davis at nau.edu writes: I need help fitting/plotting a confidence interval to a frequency distribution In many medical journals, reviewers only want to see some error bars. In 90% of the cases, these are wrong or misleading, but it is hopeless to argue with

[R] Confidence interval?

hi folks, I need help fitting/plotting a confidence interval to a frequency distribution Can someone help with this? thanks, tsd -Original Message- Date: Mon Apr 06 15:08:20 MST 2009 From: r-help-requ...@r-project.org Subject: Welcome to the R-help mailing list To:

Re: [R] confidence interval or error of x intercept of a linear regression

On Mon, 23 Mar 2009, Kevin J Emerson wrote: Now, it is simple enough to calculate the x-intercept itself ( - intercept / slope ), but it is a whole separate process to generate the confidence interval of it. I can't figure out how to propagate the error of the slope and intercept into

Re: [R] confidence interval or error of x intercept of a linear regression

I should probably also add the health warning that the delta-method approach to ratios of coefficients is REALLY BAD unless the denominator is well away from zero. When the denominator is near zero nothing really works (Fieller's method is valid but only because 'valid' means less than you

Re: [R] confidence interval or error of x intercept of a linear

On 24-Mar-09 03:31:32, Kevin J Emerson wrote: Hello all, This is something that I am sure has a really suave solution in R, but I can't quite figure out the best (or even a basic) way to do it. I have a simple linear regression that is fit with lm for which I would like to estimate the x

[R] CONFIDENCE INTERVAL FOR GLMER MODEL

I've built a poisson regression model for multiple subjects by using the GLMER function. I've also developed some curves for defining its limits but I did not succeed in developing confidence interval for the model's curve (confint or predict does not work - only for glm). Does anyone know how

Re: [R] CONFIDENCE INTERVAL FOR GLMER MODEL

On Tue, Mar 24, 2009 at 5:25 AM, LiatL liat.lam...@gmail.com wrote: I've built a poisson regression model for multiple subjects by using the GLMER function. I've also developed some curves for defining its limits but I did not succeed in developing confidence interval for the model's curve

Re: [R] confidence interval or error of x intercept of a linear

(Ted Harding) wrote: On 24-Mar-09 03:31:32, Kevin J Emerson wrote: ... When I have time for it (not today) I'll see if I can implement this neatly in R. It's basically a question of solving (N-2)*(1 - R(X0))/R(X0) = qf(P,1,(N-1)) for X0 (two solutions, maybe one, if any exist). etc. A

Re: [R] confidence interval or error of x intercept of a linear

I wanted to send out a quick thanks to all that replied to my query about estimating the confidence interval around the x-intercept of a linear regression. The method I was able to implement in the most straightforward way was taken from Section 3.2 of Draper and Smith (1998). Applied

[R] confidence interval or error of x intercept of a linear regression

Hello all, This is something that I am sure has a really suave solution in R, but I can't quite figure out the best (or even a basic) way to do it. I have a simple linear regression that is fit with lm for which I would like to estimate the x intercept with some measure of error around it

[R] confidence interval for roc curves

Dear all, I am looking for an R package that allows me to calculate and plot the confidence limits for the roc curve using for example some bootstrapping. I tried ROCR who seems doing such work but i couldn't find the right option to do it. Many thanks Bests Marc

Re: [R] Confidence Interval

rak1304 rkeyes87 at hotmail.com writes: I am new to R and Im some trouble with the following question... I'm starting to study stats and R again after almost a year, so I thought this is interesting. I think I have the answer. Here is how I arrived at it: Generate 100 standard normal

[R] Confidence Interval

I am new to R and Im some trouble with the following question... Generate 100 standard normal N(0,1) samples of size 100, X1(k),...,X100(k) where k=1,...,100 (The k is and indicie in brackets) Calculate the sample mean for each sample. For each sample mean Xbark the 0.95-confidence interval

[R] Confidence Interval

I am new to R and Im some trouble with the following question... Generate 100 standard normal N(0,1) samples of size 100, X1(k),...,X100(k) where k=1,...,100 (The k is and indicie in brackets) Calculate the sample mean for each sample. For each sample mean Xbark the 0.95-confidence interval

Re: [R] Confidence Interval

Yes it is a homework problem, I included the whole question as I thought it would make it easier to explain however I am unsure of how to do the confidence interval part. As far as I am aware I have set up a matrix with my 100 samples of 100 and have calculated means. Do I need to set up a new

Re: [R] confidence interval for glm

On Sun, 2008-11-30 at 01:15 -0500, David Winsemius wrote: ?confint.glm # ... in MASS That provides confidence intervals on the parameters of the model, which is not what the OP wanted. He wants confidence intervals on: predict(mod, newdat) One way to do this is to compute them in the normal

Re: [R] confidence interval for glm

?confint.glm # ... in MASS On Nov 28, 2008, at 9:29 AM, Gerard M. Keogh wrote: Hi all, simple Q: how do I extract the upper and lower CI for predicted probabilities directly for a glm - I'm sure there's a one line to do it but I can't find it. the predicted values I get with the

[R] confidence interval for glm

Hi all, simple Q: how do I extract the upper and lower CI for predicted probabilities directly for a glm - I'm sure there's a one line to do it but I can't find it. the predicted values I get with the predict (.. response) Thanks Gerard

[R] Confidence interval for binomial variance

Based on simulations, I've come up with a simple function to compute the confidence interval for the variance of the binomial variance, where the true variance is v = rho*(1-rho)/n where rho = true probability of success and n = # of trials. For x = # successes observed in n

[R] confidence interval

I am a new user of R package and I needed a help regarding plotting confidence limits for FFT ( chisquare based) and spectrum using the monte carlo simulations of background red noise . How do I do it in R can any one help in this issue? sudheer --

Re: [R] Confidence Interval

Em Ter, 2008-08-19 às 23:25 -0300, Raphael Saldanha escreveu: Hi! With the following script, I'm trying to make a demonstration of a Confidence Interval, but I'm observing some differences on tails. Raphael, If you make demonstration of Confidence Interval why you don't use ci.examp of

Re: [R] Confidence Interval

Thanks Professor and Bernardo, What I'm trying to do is this: I have a macro for Minitab. His author says it's a Monte Carlo simulation to estimate a confidence interval. But and don't have Minitab, don't like to work with illegal licenses, and LOVE R. So, I re-write the macro in a R script.

Re: [R] Confidence Interval

Hi! Here is a better code, using the percentil value instead the position, and some corrections on the graph code. The reason in the difference on the tails is elementar, but I don't had see it before. The right and left limits are calculated by simulation, and his differences from the mean are

[R] Confidence interval for the coefficient of variation

Dear, We are trying to determine the (one-sided) CI for the coefficient of variation in a small sample (say n = 10), with mean 100 and standard deviation 21. It appears though that the R-function ci.cv() and our simulation do not agree. The R-code: library(MBESS) n = 10 ci.cv(mean = 100, sd =

Re: [R] Confidence interval for the coefficient of variation

Katrien Baert katrien.baert at gmail.com writes: Dear, We are trying to determine the (one-sided) CI for the coefficient of variation in a small sample (say n = 10), with mean 100 and standard deviation 21. It appears though that the R-function ci.cv() and our simulation do not agree.

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