similar to: please help with estimation of true correlations andreliabilities

Can someone point me to literature and/or R software to solve the following problem: Assume n true scores t measured as x with uncorrelated errors e , i.e. x = t + e and assume each true score to a have a certain amount of correlation with some of the other true scores. The correlation matrix cx of x will have its off-diagonal entries reduced by measurement error compared to the true

Jens I'm not sure what you intend by "predefined assumptions". 1. If you merely want to conduct an exploratory rather than confirmatory analysis for the relevant paths, there are ways within SEM to do this. (In this case you could use John Fox's SEM package). 2. If you do not wish to assume multivariate normality, then you may use a variety of alternative (to maximum likelihood)

Hi All, I am trying to download semnet package but getting the error: package not available for R version 3.4.4. I tried downloading it from install.packages('semnet',repos='http://cran.us.r-project.org') and install.packages('semnet',repos='http://cran.revolutionanalytics.com/') and even the https://cran.r-project.org/src/contrib/semnet.tar.gz but doesnt seem to

Full_Name: Jens Oehlschl?gel Version: 2.10.0 OS: Windows XP Professional Submission from: (NULL) (85.181.158.112) file.rename() will successfully rename file a to b - even if b exists already. Though the documentation does not state what file.rename() will do in this case, I guess the expected behaviour is to fail and return FALSE. Kind regards Jens Oehlschl?gel > cat("a\n",

Full_Name: Jens Oehlschl?gel Version: 2.9.2 OS: Win32 Submission from: (NULL) (85.181.152.156) # Obviously an empty basename is allowed (if the filepath is a pure path) > basename("/") [1] "" # but here we get the dot from the path > basename("./") [1] "." > version _ platform i386-pc-mingw32

What is the best way to grow an R return object in writing a C function using the Rdefines.h macros. In my application, the final size of the return object is not known during construction. My understanding is that each time I grow an R object I have to use PROTECT() again, probably before UNPROTECTing the smaller version. However, due to the stack character of the PROTECT mechanism, UNPROTECT

Sorry if this question has been asked previously, I searched but found little. There also doesn't seem to be a dedicated SEM list-serv so hopefully this will find its way to the appropriate audience. In discussing SEM with a colleague I mentioned that a model they were fitting in AMOS was equivalent to a linear regression and that the coefficients would be the same. This of course was the

I was surprised to find that calling str() on an environment can remove attributes from it, as in > a <- new.env() > class(a) <- "jens" > class(a) [1] "jens" > str(a) Class 'jens' length 0 <environment> > class(a) NULL then I found in the R-Language-Manual in chapter 2.1.10 Environments the sentence: "In particular, assigning

I try to create a big treelike list structure using the RDefines/RInternal macros. The tree carries information at each node (attribute list) and at each leaf (vector). My understanding is that for each node I add to the binary tree I have to call PROTECT(newnode = NEW_LIST(2)); and cannot UNPROTECT before I return the whole tree. Same story for node attributes and leaf vectors. However, this

Full_Name: Jens Oehlschl?gel Version: 2.5.1 OS: Windows Submission from: (NULL) (62.159.183.42) Even when specifying the full path, the output of fc is not sent to R (neither shown nor returned). For example > system('c:\\WINDOWS\\system32\\fc.exe /?',intern=TRUE) character(0) When I do the same from python 2.3, I get >>> import os >>>

Dear list members, Could any expert on factor analysis be so kind to explain how to calculate AIC on the output of factanal. Do I calculate AIC wrong or is factanal$criteria["objective"] not a negative log-likelihood? Best regards Jens Oehlschl?gel The AIC calculated using summary.factanal below don't appear correct to me: n items factors total.df rest.df model.df

Dear list members, Could any expert on factor analysis be so kind to explain how to calculate AIC on the output of factanal. Do I calculate AIC wrong or is factanal$criteria["objective"] not a negative log-likelihood? Best regards Jens Oehlschl?gel The AIC calculated using summary.factanal below don't appear correct to me: n items factors total.df rest.df model.df

Dear all, Our quite basic function mtext() does wrong adjustments in some parameter configurations. This gets obvious when using multi line texts: There is no way to properly adjust text perpendicular to axis 2, for example. Best Jens Oehlschl?gel m <- matrix(1:9, 3) colnames(m) <- c("several\nlines", "several\nlines", "several\nlines") par(mfrow=c(2,2))

Dear all, For my package "ref" I have implemented extensive regression testing. It now fails to compile since primitives "dim" and "dimnames" (and their assignment methods) no longer allow for additional arguments. I was using an additional argument "ref" with several methods. For "].refdata" it still works, with "dim.refdata" no longer.

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Thanks to all who have responded. My concern was to be able to write a csv file that can have line feeds in string columns chr(10). Why? Excel allows line feeds chr(10) within cells and line breaks chr(13)+chr(10) at line ending, but the windows version of R automatically replaces \n by \r\n in writing and \r\n by \n in reading (text mode). The clues for a solution came from Brian Ripley and

Dear all, I discovered that read.table (RW1.8.0) leaves out data when reading multiple-line records. Replication code at the end Best regards Jens Oehlschlägel > filename <- "c:/tmp/c2.csv" > > data <- data.frame(a=c("c", "e\nnewline"), b=c("d", '"quoted simpleline"')) > > #look at the data >

is there any function under R that allows me to test the normality of my 92 sumples? -- View this message in context: http://www.nabble.com/multinormality-tp17717230p17717230.html Sent from the R help mailing list archive at Nabble.com.

rpeng@jhsph.edu wrote: > I get different behavior on Linux: > > system("mkdir newdir") > dir("newdir", all.files = TRUE, recursive = TRUE) ## R hangs The point is that all.files=TRUE implies returning also "." and ".."! Hence the recursion uses to be infinite (from "." to "." to "." ......). If recursiv = TRUE,

> library(tcltk) > tkStartGUI() Error in .C("RTcl_ActivateConsole", PACKAGE = "tcltk") : C function name not in DLL for package tcltk > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 9.1 year 2004