similar to: step-wise and prediction

Dear all, I am having an issue with CDR logging. What I want to do is log jitter variable from RTPAUDIOQOS module into Master.csv at the end of each call. I am using asterisk version 1.4.26. For CDR purposes, I am using cdr_custom, and the content of my cdr_custom.conf is the following: [mappings] Master.csv =>

Madame , Monsieur, J'aimerais utiliser la fonction step dans une boucle "for" pour pouvoir prédire des valeurs (à chaque pas) suivant le modèle proposé par step. Est-il possible de le faire ? Merci d'avance, Cordialement Athanasia

Dear R-users, We expect to create N homogenic groups of n features from an experimentation including N*n mesures. The aim of this is to prevent from group effects. How to do that with R functionalities. Does anyone know any methodes enabling this ? Best regards. Alexandre MENICACCI Bioinformatics - FOURNIER PHARMA 50, rue de Dijon - 21121 Daix - FRANCE a.menicacci at fr.fournierpharma.com t??l

madame, monsieur, help me please, Je debute avec R. J'ai r??alis?? une analyse factorielle discriminante avec R. J'obtient les resultat graphiques et les tables assici??es ?? l'analyse. Cependant je souhaiterais savoir si les distances separant les groupes (decades) sont statistiquement significatives. pour cela il me faut utiliser la distance de mahalanobis et la statistique de

I have seen and responded to many different bridging related firewalling questions as of late. There seems to be a common assumption that IPTables does not and / or can not see bridged traffic. This is not the case. If you enable the "Bridged IP/ARP packets filtering" (CONFIG_BRIDGE_NETFILTER) option IPTables can see and act on bridged traffic. If this is turned on and you have

Hi, I like my recordings to go to date wise folder i mean to say that for example today is 20070409 so all recordings should go directly to that folder instead of one folder for whole month. and then next day's recordings should go to next date folder. so how can i do that my current monitor context is like... exten => _1NXXNXXXXXX,3,Monitor(gsm,/rec/asterisk/apr07/${CALLFILENAME},mb)

Hi , I want to apply the following code fo my data with 400 predictors. I was wondering if there ia an alternative way instead of typing 400 predictors for the following code. I really appreciate your help. fit0<-lm(Y~1, data= mydata) fit.final<- lm(Y~X1+X2+X3+.....+X400, data=mydata) ??? step(fit0, scope=list(lower=fit0, upper=fit.final), data=mydata, direction="forward")

I have another issue.i have a function which calculates the log2(col i /col2) value, where i stands for columns 3,4,...etc. data<-read.table("table.txt", header=TRUE) iratio<-function(x){ for(n in 3:ncol(data)){ z<-log2(data[x,n]/data[x,2]) } } Where x- the row number of the data frame(data). i want to store the ratios for each row in a object z, which can be accessed

Hi. We have 3 channel for _outgoing_ calls and would like to use them equally (by turn). Is there any 'queue' for outgoing calls? Now I have to select the second channel manually when the first is busy and so on. Does Asterisk have any functionality to do it automatically?

Hi all, Is there a way to automate the removal of Klipper? It fouls up one of our major applications. Thanks in advance.

Why does debug() enter Browse[3] here at all, and why does it happen the first time and not the second? This seems unexpected to me, and has undesirable effects for ESS users (that I reported here - https://stat.ethz.ch/pipermail/ess-help/2013-June/009154.html - but just realized my post to r-devel didn't make it through when I tried to report it back then). > Fun <- function(n)

Hi, I have a problem in getting step function work. I am getting the following error: > fit1 <- lm(Response~1) > fmla <- as.formula(paste(" ~ ",paste(colnames,collapse="+"))) > sfit <- step(fit1,scope=list(upper= fmla,lower= ~1),k=log(nrow(dat))) Start: AIC= -1646.66 Response ~ 1 Error in "contrasts<-"(`*tmp*`, value =

Hi, I have a function for doing permutation tests for Manovas, written with the help of folks here on the list. It seems to work ok, and I've found that there is indeed a significant difference among groups in my analysis. I want to follow up on this by testing for which pairs of groups are significantly different. Reasoning that since Wilks Lambda is a generalization of the Hotelling T test,

Dear All, I am struggling with extracting data from a data frame: x=data.frame(a=1:11,b=100:110) What I want is a list/vector in this sence: 1 100 2 101 3 102... For single rows, this works fine: as.matrix(x)[1,] For, say 2 rows, this works fine: z=c(as.matrix(x)[1,],as.matrix(x)[2,]) But z=c(as.matrix(x)[1:2,]) gives 1 2 100 101!? Is there an 'automated way' to produce a

I have a dataframe with 3 columns. The first column stores an index. I would like to calculate the mean of the numbers stored in each of the rest of the columns. So, here is my data matrix: col1 col2 col3 1 23 34 2 45 56 3 23 56 4 34 68 For each row I would like to calculate the means of the numbers stored in col2 and col3. How can this be done in R? TIA, Anjan -- =============================

Hi all, I want to calculate the row wise mean of groups of columns in a matrix M. All columns belonging to the same group have the same column name. My idea is to create a new vector V containing these column names, but after first removing the duplicates. Then I would calculate the means using for instance rowMean() and by comparing the column names of M with the vector V, getting the indices

dear list, is there any function in R with which i can compute subject-wise means for a single factor level? for instance, i wanna have the mean for each subject for the first level of factor A, how can i get that? is there a straightforward way to solve this problem? kind regards jake [[alternative HTML version deleted]]

Hi Is there any function to do bitwise or/and/xor on long bit vectors? "aaaaa" "0000000000000000000000000000000000000000000000000000000000000000......................" "bbbbb" "0000000000000000000000000000001000000000000100000000100000001100......................" "ccccc"

How do I do group wise clustering in R? Hi all, I have N x K data matrix, where N is the number of observations, K is the number of variables. The N observations fall into M categories or groups. Now I want to cluster the groups, instead of the observations, how do I do that? i.e. the clustering would be at the group level... Thanks a lot for your help! [[alternative HTML version deleted]]

Hi group! Suppose I have 2 matrices A and B of equal dimensions. I want to apply a function f to all corresponding pairs of rows from A and B in an efficient manner. Basically, I want mapply(f, data.frame(A), data.frame(B)) but for rows. How do I do it? Thanks, Andrey