similar to: Auto directory creation not working

Can someone help with a fairly simple task? I have a data set where I would like to insert a 0 time event between individuals: what I have: VAR DATE TIME CONC COVAR 1 NOV2 0.25 10 group1 1 NOV2 0.5 20 group1 1 NOV2 1 5 group1 1 NOV2 2 1 group1 1 NOV2 3 0.1 group1 2 NOV2 0.25 10

Hi All, Is there a simple way to convert a string such as c("A", "B" ,"C", "D") to a string of c("Group1", "Group1", "Group2", "Group2"). Naturally I could use the factor function as below but I don't like seeing that warning message (and I don't want to turn off warning messages). Perhaps a function

Full_Name: Martha Nason Version: 2.0.1 OS: Windows XP Submission from: (NULL) (137.187.154.154) I am running simulations using fisher's test on 2 x c tables and a very small p.value from fisher's test (<2.2e-16) is returned as a negative number. Code follows. > set.seed(0) > nreps.outer <-7 > pvalue.fisher <- rep(NA,nreps.outer) > > population1 <- c(

Hello All, I have posted to this list before regarding the same issue so I apologize for the multiple e-mails. I am still struggling with this issue so I thought I'd give it another try. This time I have included reproducible code and a subset of the data I am analyzing. I am running an ANOVA with three factors: GROUP (5 levels), FEATURE (2 levels), and PATIENT (2 levels), where

Dear list, I would like to do some calculation using different grouping variables. My 'df' looks like this: # Some data set.seed(345) id <- seq(200,400, by=10) ids <- sample(substr(id,1,1)) group1 <- rep(1:3, each=7) group2 <- rep(1:2, c(10,11)) group3 <- rep(1:4, c(5,5,5,6)) df <- data.frame(id, ids, group1, group2, group3) df <- rbind(df, df, df) df$time <-

Hello. Im hoping someone can help with a grouping question related to the "random=" statement within the nlme function. How do you specify that some grouping levels are inner to others? I tried several things, given below. Lets say I have a data frame with five variables, resp, cov1, ran1, ran2, group1, and group 2. The formula is resp~cov1 + ran1 + ran2, where the ran are random

Hi all, I have a (simple?) question about groups. this is my scenario: Windows Active directory domain Samba file server ADS integrated 2 shares on this last server (share1, share2) 2 groups on the AD (group1 and group2) First share is only fully available to group1: this is easily done second share is fully available to group2 --- Then I have some users belonging to both group1 and

Hi all, I would like to transform to long format a matrix which has only information about individuals and a value for each individual. I would like to have it in ling format with more information related to groups, so ell values and individuals are repeated for each group. Let me show the example: matrix in wide format: Individuals Value A 3 B 4 C 5 D 2 And long format would

Hello, I'm Oliver and I need help for a experiment. I have a sharing with Samba version 3.2.5, my distribution Linux is Debian(Lenny) and the acl version is 2.2.47. Below my configurations files: #/etc/fstab /dev/sda3 /shared reiserfs defaults,acl 0 1 #smb.conf [data] comment = files path = /shared inherit acls = yes inherit permissions = yes map acl inherit = Yes #

Hello, I'm looking for a solution to my problem : i have a samba server with ldap auth on Debian ETCH. I need to configure this samba for multi-group and multi-users. Example : user 1 (from group1) have to see his own directory (for writing), his group' directory (for writing and sharing) but also the "homes" of others users from this group... user2 (from group2)

Hi, I read the Wiki about dovecot-shared a few times but it is not 100% clear to me (at least for 1.2). First, if I want shared keywords I *must* have a dovecot-shared. In this case, the permissions are not taken any longer from the parent folder (what is exactly this parent folder?) but from the dovecot-shared file. So in some sense dovecot-shared is always required (since everyone would

Hello! I am aggregating using a formula in aggregate - of the type: aggregate(cbind(var1,var2,var3)~factor1+factor2,sum,data=mydata) However, I actually have an object (vector of my variables to be aggregated): myvars<-c("var1","var2","var3") I'd like my aggregate formula (its "cbind" part) to be able to use my "myvars" object. Is it

Hello! I have my data frame "mydata" (below) and data frame "reference" - that contains all the dates I would like to be present in the final data frame. I am trying to merge them so that the the result data frame contains all 8 dates in both subgroups (i.e., Group1 should have 8 rows and Group2 too). But when I merge it it's not coming out this way. Any hint would be

Hi, I am configuring a network with two subnets with a different workgroup in each subnet. My aim is to have users being able to view and access shares on both workgroups. I have a Samba server in each subnet/workgroup, configured as both the domain and local master for each workgroup. Each server is also the WINS server for its subnet. The setup is like this: Subnet1: network -

Hi, To pretty print aggregates by various dimensions I needed to add a empty row in output of aggregate. For example. d<-(aggregate(data[,cbind("x")], by=list(data$group1,data$group2), sum)) Group.1 Group.2 x 1 A N 3 2 A Y 2 3 B N 420164905 Is there a way to add an empty

Hi all Assume I have a data set xx; Group: 1=group1 ?, 2=group2 IQ: ?1= High, 0 =low fit <- glm(IQ ~group, data = xx, family = binomial()) summary(fit) Results ?????? ????????????Estimate Std. Error z value Pr(>|z|) (Intercept) -2.55456??? 0.210 -12.273? < 5e-16 *** group????????? 0.36180 ?????0.076?? 3.952 ????5.24e-05 *** the odd ratio = exp(0.36180 )= 1.435912 My question

Hi, For further calculations I need to extract indivdual Variances of different random effects from a fitted model. I found out how to extract the correlations (VarCorr(m1)@reSumry$group1) but I was not able to find a way to extract the other components individually. To extract the Residuals I tried: (ranef(m1)@ stdErr) which unfortunately did not work. Thank you very much for your help!

Dear all, I'm performing a t-test on two normal distributions with identical mean & standard deviation, and repeating this tests a very large number of times to describe an representative p value distribution in a null case. As a part of this, the program bins these values in 10 evenly distributed bins between 0 and 1 and reports the number of observations in each bin. What I have noticed

As I try to get some flexibility in the creation of users, I switched to a define. problem is, I can''t pass an array of user groups anymore. This either results in - wrong group creation: group1,group1group2,group2 (see that group1 and group2 are concatenated in the middle, undefined group) - error: Group names must be provided as an array, not a comma-separated list. I use the

Hello! my data set has many variables. Unfortuantely, many of those variables contain spaces in their names. I need advice on: how to refer to variable names in the formula for "aggregate". See example below: ### Generating example data set: mydate = rep(seq(as.Date("2008-12-01"), length = 3, by = "month"),4) value1=c(1,10,100,2,20,200,3,30,300,4,40,400)