search for: ggm

I'm new to R and trying to use the ggm package and I get the following message: > library("ggm", lib.loc="/Library/Frameworks/R.framework/Versions/3.0/Resources/library") Loading required package: graph Error: package ‘graph’ could not be loaded In addition: Warning message: In library(pkg, character.only = TRUE,...

Dear R help Don't really understand if there is graph or should be graph. > library(ggm) Loading required package: graph Error: package ?graph? could not be loaded In addition: Warning messages: 1: package ?ggm? was built under R version 2.15.3 2: In library(pkg, character.only = TRUE, logical.return = TRUE, lib.loc = lib.loc) : there is no package called ?graph? G

...variate (standard length, SL), I need to use the partial correlation. I know how to calculate it with JMP, but as I used R to analyse all of my data (first time in my life) for this manuscript, can anyone help me to find a solution for this problem? I got some libraries to calculate it (e.g. ppcor, ggm, etc.), but none of them fit to my required analysis (fitting covariate and subset group) in the model. Any help will be very much appreciated. > ### Datafrmame> data1 <- read.csv(file.choose(),header=TRUE) #Partial correlation.csv> data1 Quantity Quality SL Irid.area Casa.PC...

I'm trying to write code to calculate partial correlations (along with p-values). I'm new to R, and I don't know how to do this. I have searched and come across different functions, but I haven't been able to get any of them to work (for example, pcor and pcor.test from the ggm package). In the following example, I am trying to compute the correlation between x and y, while controlling for z (partial correlation): x <- c(1,20,14,7,9) y <- c(5,6,7,9,10) z <- c(13,27,16,5,4) What function can I append to this to find this partial correlation? Many thanks! --...

...istributed , even if I tried to do some transformation to theses variables t I cant success to have normally distributed data , so I decide to work with these data non normally distributed, my question my result will be ok even if I have non normally distributd data. 4. If I work with the package ggm for separation d , without latent variables we will have the same result as SEM function I guess 5. How about when we have the number of observation is small n, and what is the method to know that we have the minimum of observation required?? Thanks a lot -- View this message in context: h...

...matrix of simultaneous p-values with NA on the diagonal. library(SIN) data(pubprod) pvals <- sinDAG(order=list(5,1,2,3,4,7,6),S=pubprod$corr,n=pubprod$n,holm=TRUE) plotDAGpvalues(pvals, legend=TRUE, legendpos=NULL) alpha <- 0.06 amat <- getgraph(pvals, alpha, type="DAG") library(ggm) drawGraph(amat) I?m using sample data called pubprod from the SIN package, and I was wondering: Shouldn?t the order specified show up when ?pvals? is typed in? Further functions that depend on the ordering do not work such as plotDAGpvalues, and drawGraph from the ggm package. What to do? Any...

Hi all, Can anyone help me setup this package so I can use it. I am getting errors with the Rgraphviz package and have tried a number of ways to get this to work. Any help will be greatly appreciated! I am sorta new to R but have been actively trying to get into using it as my main analysis software. Thanks, Brock [[alternative HTML version deleted]]

Hello,I am trying to install a newer version of R (R 2.14.2) from this linkhttp://cran.r-project.org/bin/macosx/ However I am getting an error that it can not be installed on my computer. My Mac is version 10.6.8. Can you please advise me what the problem. I need the newer version to install the ggm package. Thanks, Heba [[alternative HTML version deleted]]

Forgive me if I'm posting to the wrong place....It's my first time posting. Here's the situation: I'm using the sem package and making path diagrams using path.diagrams. Suppose I have the following code: #install.packages("ggm") require(ggm) cor = rcorr(7) nm = c("SOF", "IWF", "PWF", "FSC", "FSF", "EF", "GPA") ram = specify.model() PWF -> FSF, a, NA PWF -> FSC, b, NA SOF -> FSF, c, NA SOF -> FSC, d, NA IWF -> FSF, e, NA IWF...

...'foreign', 'fpc', 'fracdiff', 'fRegression', 'FrF2', 'FrF2.catlg128', 'fTrading',   'fUnitRoots', 'gamlss', 'gamlss.data', 'gamlss.dist', 'gclus', 'gdata', 'geoR', 'GGally', 'ggm',   'ggplot2', 'gmodels', 'gridBase', 'gWidgets', 'gWidgetstcltk', 'HH', 'Hmisc', 'httr', 'igraph',   'igraph0', 'inline', 'ipred', 'isa2', 'JavaGD', 'JGR', 'kernlab',...

I'm looking for an R equivalent of Beaton's (1964) Sweep algorithim for partial inversion of a matrix by pivoting. It implemented in SAS/IML as sweep(matrix, indices), described here http://support.sas.com/documentation/cdl/en/imlug/59656/HTML/default/langref_sect266.htm and here for python http://adorio-research.org/wordpress/?p=262 -- Michael Friendly Email: friendly AT yorku

On 9 Apr 2002, George Michaelson <ggm@apnic.net> wrote: Please read this first: http://www.eyrie.org/~eagle/faqs/questions.html > I am using rsync to pull maildrop boxes to a laptop. > > when I do this, I really do want to zero/delete the file > afterward. > > I use rsync because its a lowest common denomina...

Hello all, What is your preferred method to export tables (from ftable()) to Word? Do you just export to a text file and then copy/paste? Or perhaps via HTML output? Thanks, Allie

Hi All, I have the following adjacency matrix for a directed graph: [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 0 0 0 0 0 0 0 0 [2,] 0 0 0 0 0 0 0 0 [3,] 1 0 0 0 0 0 0 0 [4,] 0 0 1 0 0 0 0 0 [5,] 0 0 1 0 0 0 0 0 [6,] 1 1 0 0 0 0 0 0 [7,] 0 0

---------- Forwarded message ---------- From: Sean Linton <sean at lpnz.org> Date: 20 November 2010 18:33 Subject: Festival of Pacific Arts web cast To: Robert Loomans <robertl at apnic.net>, George Michaelson <ggm at apnic.net>, sylvia at apnic.net, Gaurab Raj Upadhaya <gaurab at lahai.com>, Ian Pringle < ipringle at col.org>, Martin Hadlow <m.hadlow at uq.edu.au>, David Leeming < david at leeming-consulting.com>, alano at sibc.com.sb, andrewlano at gmail.com, Pacific Islands Chapt...

Aloha all, I have an adjacency matrix for an acyclic digraph that contains transitive relations, e.g. (u,v), (v,w), (u,w). I want a DAG with only intransitive relations. Can someone point me to an R function that will take my adjacency matrix and give me back one with only intransitive relations? In the example, I'd like to get rid of (u,w) and keep (u,v) and (v,w). All the best, Tom --

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