search for: pco

....? Some debug logs are below, is there >> something specific I could search them for? >> > Can you maybe try delivery to an account which should trigger quota warning or overquota action with mail_debug=yes? > > Aki -------------- next part -------------- Sep 24 15:25:07 ezm11-pco dovecot: quota-status(other at quailmail.ca): Debug: auth USER input: other at quailmail.ca mail=maildir:/svmail/03/quailmail.ca/other/Maildir home=/svmail/03/quailmail.ca/other uid=5000 gid=5000 quota_rule=*:storage=1G Sep 24 15:25:07 ezm11-pco dovecot: quota-status(other at quailmail.ca): Debug:...

Hello, Most of the work was done with dovecot 2.2.27 but I just upgraded to 2.3.2 and didn't see any change.? Some debug logs are below, is there something specific I could search them for? Sep 17 23:19:16 ezm11-pco dovecot: auth-worker(8299): Debug: Loading modules from directory: /usr/lib/dovecot/modules/auth Sep 17 23:19:16 ezm11-pco dovecot: auth-worker(8299): Debug: Module loaded: /usr/lib/dovecot/modules/auth/lib20_auth_var_expand_crypt.so Sep 17 23:19:16 ezm11-pco dovecot: auth-worker(8299): Debug: Modu...

Hello, I'm trying to implement quota enforcement in our mailservers, and it is all working properly except that the quota warnings are not firing when the quota levels are passed.? the server stops accepting email when the quota is reached, and you can see tyhe quota usage through the email client connected through, but as the quota passes the set levels the /usr/local/bin/quota-warning.sh

I have a presence/absence matrix for which I create a distance matrix and then perform pco analysis on. /library(ecodist) table <- read.table("matrix.pa") dist <- dist(table, method = "euclidean", diag = FALSE, upper = FALSE) dist.pco <- pco(dist)/ When I plot the pco analysis of the distance matrix I want to be able to distinguish between certain characte...

Hi, I need to run a PCoA (PCO) for a data set wich has both positive and negative values for variables. I  could not find any distancecoefficient other than euclidean distace running for the data set. Are there any other coefficient works with negtive values.Also I cannot get summary out put (the eigen values) for PCO as...

Hi all, I am trying to compare two distance matrices with R. I would like to create a XY plot of these matrices and do some linear regression on it. But, I am a bit new to R, so i have a few questions (I searched in the documentation with no success). The first problem is loading a distance matrix into R. This matrix is the output of a the Phylip program Protdist and lookes like this: 5

I am working on morphometry of hairs and want to see if selected variables are giving significantly distinct groups. I am new to both R and principal coordinate analysis. Scatter plot is showing distinct groups but i dont know how to refine the analysis and interprete it. [[alternative HTML version deleted]]

I want to compute the distances in a mixed variable matrix using the Gower coefficient. I understand it is possible to calculate distances in a matrix with mixed variables using the dudi.pco command. How would this work? Jorine

...y '/opt/R-2.11.1/lib/R/library/ROracle/libs/ROracle.so': /opt/R-2.11.1/lib/R/library/ROracle/libs/ROracle.so: undefined symbol: sqlprc Here is my list of lib in instantclient directory : $ find -name "*.*o" -o -name "*.a" ./libsqlplusic.so ./sdk/demo/procobdemo.pco ./cobsqlintf.o ./libociicus.so ./libnnz11.so ./libocijdbc11.so ./libsqlplus.so Do I need so more lib ? From which Oracle tarball ? Thanks for help This message and any attachments (the "message") is\ int...{{dropped:31}}

...ht <- round(Total/max(Total)*1000) > > > # Calculate Chord Distance > > library(vegan) > Chord <- vegdist(decostand(Data, "norm"), "euclidean") > > # Calculate Principal Coordinates, including distance matrix row weights > > library(ade4) > PCoord.Eigen <- dudi.pco(Chord,row.w=Weight,scann=F,full=T)$eig[1:nEigen] > > # Randomization of Principal Coordinates Analysis > > library(labdsv) > for (i in 1:99) { > Data.random <- rndtaxa(Data,species=T,plots=T) > Total.random <- apply(Data.random,1,sum) >...

...t the ftp server. It successfully loaded the new firmware and bootrom but will not provision. Every time it gives me Config file error: The error is 0x0 after the page that says Processing Configuration This may take a minute. Here is my ftp log: Mon Oct 23 11:53:18 2006 1 x.x.x.x 339 /home/pcom/0004f2027255.cfg b _ o r pcom ftp 0 * c Mon Oct 23 11:53:19 2006 1 x.x.x.x 10240 /home/pcom/sip.ld b _ o r pcom f tp 0 * i Mon Oct 23 11:53:19 2006 1 x.x.x.x 0 /home/pcom/x102\x102.cfg b _ o r pco m ftp 0 * i Mon Oct 23 11:53:27 2006 6 x.x.x.x 121872 /home/pcom/sip.cfg b _ o r pcom ftp 0 *...

Hello, The ade4 package is now available on CRAN. ade4 is a multivariate data analysis package oriented towards statistical ecology. The main functions include one-table (PCA, COA, MCA, PCO, etc.), two-tables (PCAIV, Co-inertia, CCA, etc.) and k-tables multivariate analysis methods, with several Monte-Carlo tests and many graphical display methods. A complete documentation with many example data sets is also available. Most of these methods and data sets come from statistical ecology...

Dear R-Users, ade4TkGUI is a new package available on CRAN. It implements a Tcl/Tk graphical user interface (GUI) for the ade4 package. Only the most basic functions of ade4 have a GUI in this first version : classical one-table data analysis methods (PCA, COA, MCA, PCO, etc.), one table with groups of rows (BGA, WGA, DA), and two-tables analysis methods (Coinertia analysis, CCA, PCAIV). http://pbil.univ-lyon1.fr/JTHome/ade4TkGUI.jpg One of the benefits of using ade4TkGUI is the centralized graphical display of the dudi objects created by ade4. A dudi is a list w...

...the package has the following features: * A graphical user interface (GUI), making it easy to use * Support for different types of biplots (PCA, covariance/correlation, CVA, regression, Procrustes, circular non-linear), both interpolative and predictive * Support for different scaling techniques (PCO, metric MDS, non-metric MDS, semi-metric MDS) * Various data transformations and distance metrics * Additional descriptors (convex hulls, alpha-bags, point densities, classification regions) * Intermediate quantities for export back to R * Diagnostics (graphs of convergence; point, group and axis p...

Hello, The ade4 package is now available on CRAN. ade4 is a multivariate data analysis package oriented towards statistical ecology. The main functions include one-table (PCA, COA, MCA, PCO, etc.), two-tables (PCAIV, Co-inertia, CCA, etc.) and k-tables multivariate analysis methods, with several Monte-Carlo tests and many graphical display methods. A complete documentation with many example data sets is also available. Most of these methods and data sets come from statistical ecology...

Dear R-Users, ade4TkGUI is a new package available on CRAN. It implements a Tcl/Tk graphical user interface (GUI) for the ade4 package. Only the most basic functions of ade4 have a GUI in this first version : classical one-table data analysis methods (PCA, COA, MCA, PCO, etc.), one table with groups of rows (BGA, WGA, DA), and two-tables analysis methods (Coinertia analysis, CCA, PCAIV). http://pbil.univ-lyon1.fr/JTHome/ade4TkGUI.jpg One of the benefits of using ade4TkGUI is the centralized graphical display of the dudi objects created by ade4. A dudi is a list w...

I am currently using the function daisy in package cluster to create a dissimilarity matrix because my multivariate dataset contain missing data and variables of various types including factors, symmetric and asymmetric binary and quantitative. This is a step prior to using pco within ecodist. There is a warning which comes twice ">NAs introduced by coercion" I've used the option: type = list(asymm = c(4:30,32:42), symm= c(31,43)) to indicate which are binary variables and their symmetry. The remaining variables I have left alone since if...

...the package has the following features: * A graphical user interface (GUI), making it easy to use * Support for different types of biplots (PCA, covariance/correlation, CVA, regression, Procrustes, circular non-linear), both interpolative and predictive * Support for different scaling techniques (PCO, metric MDS, non-metric MDS, semi-metric MDS) * Various data transformations and distance metrics * Additional descriptors (convex hulls, alpha-bags, point densities, classification regions) * Intermediate quantities for export back to R * Diagnostics (graphs of convergence; point, group and axis p...

Hi everyone, The hiera command line program (version 0.3.0) is currently taking around 2 seconds per invocation. This seems quite slow to me, but is probably not an issue for most users. We have a number of legacy machines that for one reason or another have not been puppetised yet, and probably won''t be anytime soon, so I have a somewhat clever script that, for each of these

Hello, everybody, I hope somebody could help me with a dist() function. I have a data frame of size 2*4087 (col*row), where col corresponds to the treatment and rows are species, values are Hellinger distances, I should reconstruct a distance matrix with a dist() function. I know that "euclidean" method should be used. When I type: dist(dframe,"euclidean") it gives me a