similar to: Installing an Archived Package

Hello again, I did not expect the browser to automatically extract, so I changed the Safari setting and it downloaded as a ?gz? file. It is clear now that R is finding the package but I get a different error as follows: > install.packages("polycor_0.7-8.tar.gz", repos=NULL, type="source") ERROR: dependency ?mvtnorm? is not available for package ?polycor? * removing

Hello Michael and Duncan, Thank you for your pointers. The file downloaded without the ?gz? extension to my R working directory folder as a ?tar? file. I did not unpack the file. I tried renaming the file and running the code with ?gz? added - please see below. > install.packages("/polycor_0.7-8.tar.gz", repos=NULL, type="source") Warning: invalid package

You can tell Macintosh not to automatically unpack tar.gz files. https://apple.stackexchange.com/questions/961/how-to-stop-safari-from-unzipping-files-after-download On Wed, May 16, 2018 at 11:24 AM, Evguenia Ignatova <evg.ignatova at gmail.com> wrote: > Hello, > > I am having difficulty installing the most recent compatible version of the ?polycor" package (0.7-8), for R

On 16/05/2018 2:15 PM, Evguenia Ignatova wrote: > Hello again, > > I did not expect the browser to automatically extract, so I changed the Safari setting and it downloaded as a ?gz? file. > > It is clear now that R is finding the package but I get a different error as follows: > >> install.packages("polycor_0.7-8.tar.gz", repos=NULL, type="source")

install.packages("/polycor_0.7-8.tar.gz", repos=NULL, type="source") The initial slash would be a problem - it means to find poglycor_0.7.8.tar.gz in the root directory. Remove the slash, find where the tar.gz file was put, and try using that location. Recall the destdir setting you used in download.packages or use file.exists() and dir() to help find it. Bill Dunlap TIBCO

> On May 16, 2018, at 2:15 PM, Evguenia Ignatova <evg.ignatova at gmail.com> wrote: > > Hello again, > > I did not expect the browser to automatically extract, so I changed the Safari setting and it downloaded as a ?gz? file. > > It is clear now that R is finding the package but I get a different error as follows: > >>

On 16/05/2018 11:24 AM, Evguenia Ignatova wrote: > Hello, > > I am having difficulty installing the most recent compatible version of the ?polycor" package (0.7-8), for R 3.2.1 on my Mac. Here is the package source page: https://cran.r-project.org/src/contrib/Archive/polycor/ <https://cran.r-project.org/src/contrib/Archive/polycor/>. > > This version of R is necessary

Great to know! I installed mvtnorm and everything installed like a charm after. SPSS executed the package smoothly, too. Thank you so much again for all your help - this really saved me! All the best, Evguenia > On May 16, 2018, at 2:34 PM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > > On 16/05/2018 2:15 PM, Evguenia Ignatova wrote: >> Hello again, >> I did

> On Aug 5, 2017, at 7:02 PM, Gavin Brown <gt.brown at auckland.ac.nz> wrote: > > I am not an R-Head, hence I use nice utilities that integrate R into SPSS > I have SPSS v24, R3.20 and R3.40 > I have run IBM SPSS R Integration which requires linking to R3.20 > I have installed R Factor v2.4.2 > This package requires 'polycor' library > Unfortunately,

I am not an R-Head, hence I use nice utilities that integrate R into SPSS I have SPSS v24, R3.20 and R3.40 I have run IBM SPSS R Integration which requires linking to R3.20 I have installed R Factor v2.4.2 This package requires 'polycor' library Unfortunately, 'polycor' does not exist in R3.20 DATASET ACTIVATE DataSet1. *M?rio Basto, Jos? Manuel Pereira, IPCA *Required: SPSS 21

Dear all, I am trying to conduct an enhanced version of factor analysis with a SPSS interface that allows to use R. This approach has been suggested in the recent article: Basto, M. and J.M. Pereira An SPSS R-Menu for Ordinal Factor Analysis. Journal of Statistical Software 46, pp. 1-29. My variables are ordinal-type and the tool of Basto allows to run polychoric correlations in the SPSS

Hello, I found in the forum two threads about point biserial correlation. One of them (1) mentioned "a point-biserial correlation is just a Pearson correlation where one of the variables is dichotomous. Thus, the command is just the normal cor function". The other (2) mentioned "Professor Fox's package polycor" as a way to calculate point biserial correlation?

Hello R Users, While I have attempted to dig into the R help files and I have not identified the answer to these questions, I apologize in advance if my questions were answered in the past. I also recognize that one of my questions unfortunately verges on statistical rather than code territory. I have two rather unrelated questions about using the sem and polycor packages for a relatively

I have been using the hetcor function in the polycor package. When I don't specify the use option everything runs smoothly. However, when I specify use either as "pairwise.complete.obs" or "complete.obs" I get this error Error in optim(rho, f, control = control, hessian = TRUE, method = "BFGS") : non-finite value supplied by optim Is this an error in

I am currently working with R's polycor package and I have encountered a problem. I tried to follow the steps as outlined in the sem.pdf file where a CFA model is run using polychoric correlations. Every time I run the command sem(model, data, N=.), I get the following warning message: Warning message: In if (orthogonal) { : the condition has length > 1 and only the first element will be

Hello, I have a data set containing categorical and ordinal factors, as well as sampling weights (i.e., survey weights reflecting unequal probabilities of selection). I want to fit a structural equation model with sem(). I have run sem() on weighted covariance matrices using advice from John Fox (see <http://tolstoy.newcastle.edu.au/R/e5/help/08/12/8773.html> and

Hi I have used a polycor package for categorical correlation coefficients. I run the following script. But there were no results. Could you tell me how to correct the script? Thanks in advance, vars <- names(sdi) for (i in 1:length(vars)) { for (j in 1:length(vars)) { paste(vars[i]," and ", vars[j]) polychor(vars[i], vars[j]) # corr } } -- Kum-Hoe Hwang, Ph.D.Phone :

Using the grm function (graded response IRT model) in the ltm package I receive the following error: Error: subscript out of bounds for several scales I'd like to examine. Here's a small example that if run a few times will likley produce the error at least once ch<-array(round(runif(50,1,5)),c(10,5)) grm(ch,start.val="random") ## or

Hi, I would like to use the sem package to perform a path analysis (no latent variables) with a mixture of 2 nominal exogenous, 1 continuous exogenous, and 4 continuous endogenous variables. I seek advice as to how to calculate the appropriate covariance matrix for use with the sem package. I have read through the polycor package, and am confused as to the use of "numeric" for

Hi, Is there any R library/package that calculates tetrachoric correlations from given marginals and Pearson correlations among ordinal variables? Inputs to polychor function in polycor package are either contingency tables or ordinal data themselves. I am looking for something that takes marginal distributions and Pearson correlation as inputs. For example, Y1=(1,2,3) with P(Y1=1)=0.3,