similar to: NUMERIC DERIVATE

I wonder if someone could explain why, when I perform confirmatory factor-analysis model using polychoric correlations why I do not get an estimated confidence interval for the RMSEA. My experience with these type models is that I would obtain a confidence interval estimate. I did not get any warning messages with the output. RESULTS: Model Chisquare = 1374 Df = 185 Pr(>Chisq) = 0

Hello all, I have an issue where I am generating data and trying to confirm the estimates using a sem. I keep getting an error about the degree of freedom being negative "Error in sem.default(ram, S = S, N = N, raw = raw, data = data, pattern.number = pattern.number, : The model has negative degrees of freedom = -6" Can someone explain this error or tell me what is wrong with my

Dear R-users, May I seek some suggestions from you. I have a long programme written in R with several 'for' loops inside. I just want to get them out by any elegant way (if there is!) to reduce the computational time of the main programme. For instance, is there any smart way for the following programme that will lessen time?

Dear R-users, I am trying to understand how the 'segmented'-package works to determine breakpoints and slopes of regression lines in broken-line regression models. However, I am not able to repeat the example on the "plant"-dataset, which was reported in the accompanying paper of the package. (V.M.R Muggeo, "Segmented: an R package to fit regression models with

Hi all, I am using the package ?Segmented? to estimate logistic regression models with unknown breakpoints (see Muggeo 2003 Statistics in Medicine 22:3055-3071). In the documentation it suggests that it might be possible to include several variables with breakpoints in the same model: ?Z = a vector or a matrix meaning the (continuous) explanatory variable(s) having segmented relationships with

My data: I have raw data points that form a logit style curve as if they were a time series. Which is to say they form 3 distinct lines with 3 distinct slopes in backwards z pattern. A certain class of my data looks essentially flat to the eye with marginal oscillation. What is important to me is the x value at which the state change is occurring, in other words, the break point Use of

Dear R-users, I am facing problem with integrating in R a likelihood function which is a function of four parameters. It's giving me the result at the end but taking more than half an hour to run. I'm wondering is there any other efficient way deal with. The following is my code. I am ready to provide any other description of my function if you need to move forward.

UseRs, I want to do a bds.test but the function return this : > bds.test(erro.exp,m=15); Error in as.vector(x, mode = "double") : (list) object cannot be coerced to double How can I fix this problem? Thanks savano [[alternative HTML version deleted]]

UseR's, I run R on Red Hat linux 8. I did some graphics using: ps.options(paper="a4",horizontal=T,family="Times"); postscript(file="boxplotdistancia.eps"); boxplot(distancia); dev.off() How I change the font size? Thanks for helping. Savano

Dear All, May I seek your suggestion on a simple issue. I want to draw vertical lines at some positions in the following R plot. To be more specific, I wish to draw vertical lines at d=c(5.0,5.5,6) and they should go till p=c(0.12,0.60,0.20) . I haven't found any way out, though made several attempts. Please run the following commands first if you are interested in!

Hi there, as a student sociology, I'm starting to learn about SEM. The course I follow is based on LISREL, but I want to use the SEM-package on R parallel to it. Using LISREL, I found it to be very usable to be able to see the total direct and total indirect effects (standardized and unstandardized) in the output. Can I create these effects using R? I know how to calculate them

Dear R users, Could you tell me where a I find some references of BHHH algorithm ? I need write it in R. Thank you.

Hello, Can anyone let me know how I might change the font of name on axis in pairs plot? I want the font "times new roman". thanks.

UseRs, I imported a table using "read.table". It has 209 observations, I want to select a sample with 106 observations. What function I use? thanks.

Hi Everybody, I'm stumped. I'm pretty sure I've tried everything to get this to work. I'm trying to join my CentOS 6 server to my Server 2008 AD Domain. I'm using SerNet's samba4 packages: [root at files ~]# samba -V Version 4.1.4-SerNet-RedHat-7.el6 I've done the xattr and acl tests and they all come out just fine. So I don't think it has to do with ACLs

I am not certain, but I know one person to ask. I sent them an email off list and will follow up shortly. > On Aug 18, 2015, at 7:32 AM, deus ex <deusex12345678 at gmail.com> wrote: > > Hello, > > someone has an idea where I could get the other .svg LLVM Logo derivates? That would be great :) > > Thanks in advance. > > greetings, > > dex > >

Hello, my data is contained in nested lists (which seems not necessarily to be the best approach). What I need is a fast way to get subsets from the data. An example: test <- list(list(a = 1, b = 2, c = 3), list(a = 4, b = 5, c = 6), list(a = 7, b = 8, c = 9)) Now I would like to have all values in the named variables "a", that is the vector c(1, 4, 7). The best I could come up

Thank you very much, this one I found I meant the other logos. Unfortunately there is no link to the other logos .svg or .ai format. Do you have a clue or how I could contact the creator of this logo? Thanks again for your patience. greetings, dex 2015-08-15 0:27 GMT+02:00 Ted Kremenek <kremenek at apple.com>: > There is a link to the Adobe Illustrator Version at the bottom of the

Hi!! Im doing my graduated work in Onion Curves Growth with Nonlinear Models, I'm amateur in R so i have doubt how i put or program next models, http://r.789695.n4.nabble.com/file/n3236748/96629508.png Also, i cant derivate for Gauss Model, and Richard Model dont have funtion, If someone could help me, i was so grate, -- View this message in context:

Dear R list members, Since today seems to be the day for optimization questions, I have one that has been puzzling me: I've been doing some work on sem, my structural-equation modelling package. The models that the sem function in this package fits are essentially parametrizations of the multinormal distribution. The function uses optim and nlm sequentially to maximize a multinormal