similar to: data network format and grouping analysis

Hi everyone, Does anyone know how to get "black and white theme" (grey scale,, I would say) graphs using lattice or ggplot2, as it is shown in this webpage: http://lmdvr.r-forge.r-project.org/figures/figures.html? I am using Sweave, and I cannot get that color configuration. I have added the following option: trellis.device(color=FALSE) but I got a pdf file with color graphs. Thank

Hi everyone, I have just got different samples from a dataframe (independent and exclusive, there aren't common elements among them). I want to create a variable that indicate the sampling selection of the elements in the original dataframe (for example, 0 = no selected, 1= sample 1, 2=sample 2, etc.). I have tried to do it with ifelse command, but the problem is that the second line

Hello everyone, I am new in R and I am trying to create a id number (a correlative sequence of numbers) by group, and a correlative sequence of numbers inside each group (my idea is to get statistics by group without having to aggregate the database). Here an example: group id_group correlative_group A 1 1 A 1 2 A 1 3 A 1 4 B 2 1 B 2 2 B 2 3 C 3 1 C 3 2 C 3 3 C 3 4 C 3

Hi everyone, Does anyone know if there is a package to compute raking weights using R? What I need is to create a variable with weights base in some demographic variables (e.g. sexo, age group, area) using the raking procedure. Thank you in advance! -- Sebasti?n Daza

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <-

I have written a few different summary functions. I want to calculate the statistics by groups and I am having trouble getting the output as a dataframe. I have attached one example with a small dataset that calculates summary stats and percentiles, I have others that calculate upper confidence limits etc. I would like the output to be converted to a dataframe with one of the columns as the

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <-

R users, I have been trying to write a program in R that will extract rows from a data frame and combine the rows into a new smaller data frame while meeting several criteria. I would greatly appreciate any advice that could help me get started down the right path. What I want to do is to extract two rows WEEK (26 weeks total) from the data frame by sampling without replacement from the

Hi everyone, I need to get a between-component variance (e.g. random effects Anova), but using lmer I don't get the same results (variance component) than using random effects Anova. I am using a database of students, clustered on schools (there is not the same number of students by school). According to the ICC1 command, the interclass correlation is .44 > ICC1(anova1) [1] 0.4414491

Hi everyone, I am just trying to figure out how to do a xyplot where in addition to dots and lines I can change dots' colors according to an individual variable (e.g., marital disruption across time, a dummy 0/1). When I use "groups" specification (see below), I get two different lines for each individual based on groups, and what I want is to get one line connecting dots, and

Hello R users, I am a researcher at the University of Michigan looking for a solution to an R problem. I have loaded my data in from a mysql database and it looks like this > data ds c1 c2 1 2010-04-03 100 0 2 2010-04-30 11141 15 3 2010-05-01 3 16 4 2010-05-02 7615 14 5 2010-05-03 6910 17 6 2010-05-04

Hello, I have got a cluster sample using an election dataset where I already had the final results of a county-specific election. I am trying to figure out what would be the best sampling design for my data. The structure of the dataset is: 1) polling station (in general schools where people vote, for a county, for example, there are 15 polling stations) 2) inside each polling station, there

Hi guys, I have been setting up a samba server to share some directorys around my office network. Now I have been successful in making these shared directorys so that everyone can access them, but what I really need to do is to make the shares to have limited accessibility. What I need is to have 1 folder that is completely Private to everyone else but 1 user and everytime I have tried 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

Hello All, I have had considerable bad luck with attempting the following with for loops. Here is the problem: # Suppose we have a data.frame with the following data, which can be considered a type of edgelist (for those with networks backgrounds): # # V1 V2 # 1 A # 1 A # 1 B # 2 A # 3 C # 3 A # 3 C # 3 B # # I want the output of the function to produce a matrix, such that #each factor of

Hi I am using R with igraph to analyze an edgelist that is greater than the said amount. Does anyone know a way around this? Thanks Inder

Dear colleagues, I'm trying to have a look at the Assortative and Disassortative ( http://en.wikipedia.org/wiki/Assortative_mixing) of the network I have. But it seems that the igraph hasn't mentioned that yet. I have to get the in/out degree of the vertices of each edge and calculate the Pearson's Correlation coefficient which seems to be quite a huge task for me. :( So I wonder if

Hello everone, I am a computer science researcher in the UK - and have a quick question regarding importing data into R and more specifically latentnet. I am trying to import data such as a text file containing: (This is based on the Sampson data set) ----------- Network attributes: vertices = 3 directed = TRUE hyper = FALSE loops = FALSE multiple = FALSE total edges=

I'm interested in computing densities of a number of small ego-centred or local networks. I've installed both the R program and the sna package. My next task is importing the data into R. Our data was entered into Spss in an edgelist format in which each case specifies the link between an alter and an ego. For example: 10101 10102 1 10101 10103 3 10102 10104 2 10201 10203

Its weird, when i sat up (&(uid=%n)(mail=*@%{domain1.com})) as user_filter: auth: Debug: auth client connected (pid=14697) auth: Debug: client in: AUTH 1 PLAIN service=imap secured session=3Ej8PkdRAgDAqAG3 lip=192.168.34.10 rip=192.168.34.18 lport=143 rport=59394 auth: Debug: client passdb out: CONT 1 auth: Debug: client in: CONT<hidden> auth: