similar to: Looping over graphs in igraph

Using Igraph, I create shortest paths, then convert the matrix into three column vectors - "vertex1", "vertex2", "shortestpath" - as the code below shows. #code for generating shortest path matrix and creating a 3 columns from an igraph graph object "y" y_s<-shortest.paths(y, weights = NULL) y_s <- melt(y_s)[melt(upper.tri(y_s))$value,] #Step 2: this

Hi, I have network data in the form of a couple of edgelists containing weights in the format "x,y,weight" whereby x represents row header and y represents column header. All edgelists are based on links among 634 nodes and I need to convert them into a 634*634 weighted matrix. I searched for online help using possible keywords I know, but I could not find a clue how to do this in

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I have been using R the past couple of years to run models on data we are collecting. I recently got a new computer and updated to a new version of R (2.60 -> 2.90). Since the update, I cannot get my syntax to run. I have tried copying the file it is looking for into many different directories to try and run it. In the last version, I found that it was easiest if the file was copied into the R

Hello, I am new to R. I often collect data at multiple sites and need to create separate graphs (such as scatterplots or histograms) of specific variables for each site. I have tried to do this by splitting the data frame and then using lapply, but it seems that the graphing commands cannot be called as functions. Here is a sample of my data, called "seeddist2": site

Hello, I used the glm function in R to fit a dose-response relationship and then have been using dose.p to calculate the LC50, however I would like to calculate the NOEL (no observed effect level), ie the lowest dose above which responses start occurring. Does anyone know how to do this? [[alternative HTML version deleted]]

Hi, I appreciate you're busy so I just wanted to follow up on the email I sent you the other day, copy included below for reference. On Sat, Nov 12, 2016 at 12:40 PM, Danielle James <danielle.james at whoishostingthismail.com> wrote: Hi, I just wanted to let you know about a link that seems to be broken on this page http://www.hdt-project.org/. Here's the link

Hi all, I am new to RoR and ruby, but am a very experience PHP developer. Let me give an overview of the problem. I have a model Latency, which contains username, graph_name so the logged in user can see his/her latency graphs. In my ViewController I have a fuction view_latency which pulls the correct latency object and runs latency.overview. latency.overview creates a .png file in /tmp, and

Running dovecot 1.2.12 on ubuntu 10.10. Here is the problem: I have mysql backend for expire. I am using the dovecot-postfix package which creates /etc/dovecot/conf.d/01-mail-stack-delivery.conf which looks like this: # Some general options protocols = imap imaps managesieve disable_plaintext_auth = no ssl = yes ssl_cert_file = /etc/ssl/certs/ssl-mail.pem ssl_key_file =

Hi, I would like to use the multinomRob function to test election results. However, depending on which independent variables I include and how many categories I have in the dependent variable, the model cannot be estimated. My data look like this (there are 68 observations): > head(database) RESTE09 GAUCHE09 PDC09 PLR09 UDC09 MCG09 RESTE05 GAUCHE05 PDC05 D1 1455

Hi,? I'm trying to obtain a table of coefficients and confidence intervals from a logistic regression analysis in R. My code is as follows: # read in csv file datafile<-read.csv("file.csv", row.names=1) # read in the variable list varlist<-names(datafile)[66:180] models<-lapply(varlist, function(x) {glm(substitute(outcome ~ i, list(i=as.name(x))), data=datafile, family =

Greetings, I have a question that I'd like to get input on. I have a classic toxicology study where I artificially fertilized and exposed embryos to a chemical and counted defects. In addition, I kept track of male-female pairs that I used to artificially fertilize and generate embryos with. I need to use logistic regression to model the response, but also check that the genetics of the

https://bugs.freedesktop.org/show_bug.cgi?id=49397 Aaron Plattner <aplattner at nvidia.com> changed: What |Removed |Added ---------------------------------------------------------------------------- AssignedTo|aplattner at nvidia.com |nouveau at lists.freedesktop.o | |rg

Hi all, I have a matrix with 10000 rows and 10 columns. The last columns contains another identifiers but the values are not uniques so that I want to generate another matrix with rows with unique values in the last column. If I did tmp<-unique(my_mat$col10) this will give me 8560 unique entries so the ideal matrix will be 8560X10 columns now then. I tried sub_mat<-my_mat[tmp,] but

Hello all. I''m trying to figure out vastSky on xcp1.0 beta. As we all know, it has been integrated to the xcp. That''s just about all one can find about the matter. Been trying to google a lot, but with no luck. I''ll write here what information I''ve gathered, what I tried and how far I managed to get with this. I include information about my hardware, in case it

The sound file is played correctly for the first time, then when rewind to the initial position. then copy PCM to buffer, the OpenAL report an error. It seems like the OpenAL doesn't recognize the PCM data. The OpenAL error number : AL_INVALID_VALUE 0xA003 void Buffer::PCMData (ALuint id, ALenum eFormat, ALvoid *data, ALsizei size, ALsizei freq) { // Copy

I was wondering if it is possible to do the following in a smarter way. I want get the mean value across the columns of a matrix, but I want to do this on subrows of the matrix, given by some vector(same length as the the number of rows). Something like nObs<- 6 nDim <- 4 m <- matrix(rnorm(nObs*nDim),ncol=nDim) fac<-sample(1:(nObs/2),nObs,rep=T) ##loop trough different

Below. -- Bert On Tue, Apr 3, 2012 at 1:47 PM, Danielle Duncan <dlduncan2 at alaska.edu> wrote: > Thanks for the response, I should have clarified that the NOEL is the > smallest dose above which there is a statistically significant effect. > This is not a scientifically meaningful nor defensible definition as it is stochastic, depends on the test used, design, level chosen, etc.

Hi, as I have learned from the discussion about which SSD to use as ZIL drives, I stumbled across this article, that discusses short stroking for increasing IOPs on SAS and SATA drives: http://www.tomshardware.com/reviews/short-stroking-hdd,2157.html Now, I am wondering if using a mirror of such 15k SAS drives would be a good-enough fit for a ZIL on a zpool that is mainly used for file

Hello all- I am doing a survival analysis for two species of invasive plants I outplanted to edges and interiors of island and mainland sites in a local reservoir. I am using the KM estimate and had no problem doing survdiff for my data using the following code: S4<-Surv(outplant$SurvTime, outplant$StatusD6) diff4=survdiff(S4 ~ outplant$Species+outplant$SiteType+outplant$EdgInt) diff4