search for: communal

...is going behind the scene? - Or what I am doing wrong in my use of R? - If I am doing the pca correct, can I use the R results as equally aceptable without further discussion? Maybe a different 'hidden' algorithm is the reason for different results? Q2. How to get the so called 'Communality Estimates' with R? Here the values reported by SPSS for the above test data.frame m: Communality Estimates as percentages: 1 88,619 2 76,855 3 89,167 4 85,324 5 76,043 6 84,012 7 80,223 8 92,668 9 63,297 10 88,786 Any help, suggestions or hints are very welcome. Best reg...

On 4 Jan 2003 at 12:51, Wolfgang Lindner wrote: > Please excuse me, if the following questions are *too* off-topic, but I found it > interesting. In inspecting your code I came across an R feature, I could not > find in the online manuals: > > Q1. Looking at the left-handside in your function def: > > "cov.cor" <- function ( covmat ) { >

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...ta=fact rotate=varimax method=p nfactors=3; var v1-v6; run; /* Output from SAS*/ The FACTOR Procedure Initial Factor Method: Principal Components Prior Communality Estimates: ONE Eigenvalues of the Correlation Matrix: Total = 6 Average = 1 Eigenvalue Difference Proportion Cumulative 1 3.69603077 2.62291629 0.6160 0.6160...

...i9 0.810 i10 0.575 i11 0.745 i12 0.777 i13 0.674 i14 0.644 i15 0.796 * Factor1 SS loadings 8.995 Proportion Var 0.600* *How to access the second table* i.e the table other than the "Loadings" table? *Question2:---* How to calculate the* "initial" communalities*?Is there any function in R? I am getting "Extraction" communalities. Results as generated by SPSS. Communalities Initial Extraction i1 .654 .614 i2 .781 .764 i3 .645 .617 i4 .695 .704 i5 .681 .605 i6 .747 .738 i7 .758 .722 i8 .607 .583 i9 .661 .657 i10 .409 .330 i11...

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...as a major problem with memory leak somewhere around DWARF debug support. In fact customer is unable to build with -g at all - simply running out of memory on their project... I seem to remember that there has been a major fix related to it, but finding it hard to pinpoint. So the appeal to the communal memory - do you remember if there was a single fix (since the middle of 2012 or so) that would have addressed such issue? I know the code was drastically change since - I have seen this for instance llvm.org/viewvc/llvm-project/llvm/trunk/lib/MC/ELFObjectWriter.cpp?view=log& pathrev=205990...

...ound DWARF debug support. > > In fact customer is unable to build with -g at all - simply running > > out of memory on their project... > > > > I seem to remember that there has been a major fix related to it, > > but finding it hard to pinpoint. So the appeal to the communal memory > > - do you remember if there was a single fix (since the middle of 2012 > > or so) that would have addressed such issue? > > > > I know the code was drastically change since - I have seen this for > > instance > > llvm.org/viewvc/llvm-project/llvm/tru...

...those users. I had everything working perfectly until last week when my system drive took a crap. I've reinstalled everything exactly the same (I think?) but now I am having problems with some accounts not being able to connect to the shares. My username can connect to my home share and the communal media share just fine. When I try to connect to another users home share or to the media share with their username, I keep getting the password dialog box. I've ensured that they are in smbpasswd and that their password is correct. I've also verified this using smbclient. DETAILS: Th...

...son writes about 'raw oblimin', 'normal oblimin' and 'direct oblimin' and I do not know how that relates to the R oblimin implementation. I have also tried varimax on data and results given by Mardia in his 'Multivariate analysis' book Table 9.4.1. Mardia uses the communalities from the factor analysis in the expression for the varimax rotation. I dont see how the R varimax function can handle the communalities. I dont have the book right at hand, but I believe this R code represents Mardia examples in R: lambda <- matrix(c(0.628, 0.696, 0.899, 0.779, 0.728,...

...ortunately, I have neither the time, nor expertise to partake in > such a project. is there someone else on here who can help ? I think if we can demonstrate some traction, it would go a long way in both the upstream engagement and the conversation with Red Hat - since we can then demonstrate a communal win. > Since Mr. Hughes had already gotten earlier versions of chromium > to build under CentOS 6 (c.f. > http://people.centos.org/hughesjr/chromium/6/), and he indicated it > was merely a matter of getting RHEL to give permission for him to > redistribute it more "formally&q...

Doctor in veterinary medecine I have a degree in veterinary epidemiology I would ask if someone can perform Monte Carlo simulation with R. Thanks in advance. Dr Kane Ismaila i_kane at hotmail.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

...In fact customer is unable to build with -g at all - simply running > >> > out of memory on their project... > >> > > >> > I seem to remember that there has been a major fix related to it, > >> > but finding it hard to pinpoint. So the appeal to the communal > >> > memory > >> > - do you remember if there was a single fix (since the middle of > >> > 2012 or so) that would have addressed such issue? > >> > > >> > I know the code was drastically change since - I have seen this > >> &...

...>> >> > running out of memory on their project... > >> >> > > >> >> > I seem to remember that there has been a major fix related to > >> >> > it, but finding it hard to pinpoint. So the appeal to the > >> >> > communal memory > >> >> > - do you remember if there was a single fix (since the middle > >> >> > of > >> >> > 2012 or so) that would have addressed such issue? > >> >> > > >> >> > I know the code was drastically ch...

...e time, nor expertise to partake in > > such a project. > > is there someone else on here who can help ? I think if we can > demonstrate some traction, it would go a long way in both the upstream > engagement and the conversation with Red Hat - since we can then > demonstrate a communal win. > > > Since Mr. Hughes had already gotten earlier versions of chromium > > to build under CentOS 6 (c.f. > > http://people.centos.org/hughesjr/chromium/6/), and he indicated it > > was merely a matter of getting RHEL to give permission for him to > > redistribu...

...3. 'weibreg': Weibull regression for left truncated and right censored data. Allows for stratification with different shape and scale parameters in the strata. Moreover, there are functions for extracting subsamples as 'rectangles' in the Lexis diagram, including external ('communal') covariates in a 'survival data frame', extracting information from risk sets, summary statistics from the Lexis diagram, etc, etc. G?ran --- G?ran Brostr?m tel: +46 90 786 5223 Department of Statistics fax: +46 90 786 6614 Ume? University...

...3. 'weibreg': Weibull regression for left truncated and right censored data. Allows for stratification with different shape and scale parameters in the strata. Moreover, there are functions for extracting subsamples as 'rectangles' in the Lexis diagram, including external ('communal') covariates in a 'survival data frame', extracting information from risk sets, summary statistics from the Lexis diagram, etc, etc. G?ran --- G?ran Brostr?m tel: +46 90 786 5223 Department of Statistics fax: +46 90 786 6614 Ume? University...

I am a newcomer to R trying to convert a SAS program to R. Does anyone know if there is a functional equivalent of the SAS 'Factor' procedure? For example in SAS: proc factor DATA=cor method=principal rotate=varimax proportion=0.9 scree where 'cor' is a correlation matrix (as in the R 'cor' function) This should get you a list of eigen values as well as a factor

Dear R users: I'm wondering if it's possible to get the residual correlation matrix when using factanal. Since factanal assumes that the errors are normally distributed and independent (provided the factor model fits the data) this would be useful. Of course you would need to submit the data to the function to get the residuals (not just their correlation matrix), but it should be possible

I am performing a large (105 variable) factor analysis with factanal, specifying promax rotation. I kow that some loadings over 1.0 are not unsual with that rotation, but I have some as large as 1.2, which seems extreme. I am skirting the assumptions of the model by using responses on a 7-point rating scale as data; I may have to go back and compute polychoric correlations instead of product