similar to: disaggregating table

Hi, I have calculated chi-square goodness of fit test,Sample coming from Poisson distribution. please copy this script in R & run the script The R script is as follows ########################## start ######################################### No_of_Frauds<- c(4,1,6,9,9,10,2,4,8,2,3,0,1,2,3,1,3,4,5,4,4,4,9,5,4,3,11,8,12,3,10,0,7) lambda<- mean(No_of_Frauds) # Chi-Squared

I would like to selectively remove rows from a table. I had hoped that I could create a table and selectively add rows with something like > NewTable<-table(nrow=100, ncol=4) > NewTable[1,]<-OldTable[10,] but that doesn't work. The former call gives > NewTable ncol nrow 4 100 1 while the latter call gives a table the length of OldTable. Making a matrix, m, with the

I am sorry to be bothering the list so much. I made a table of counts of flight arrivals by hour: cnts=tapply(Arrival4,list(Hour),table). There are up to 15 arrivals in a bin. > cnts $`0` 1 2 3 4 5 6 7 8 9 10 13 1 2 5 9 2 7 5 4 2 4 1 $`1` 1 2 3 4 3 2 2 1 $`2` 1 3 2 2 . . . My first problem is how to get this table filled in with the 0 slots. E.g., I want $`0` 1 2

Dear R-users, I have an anual info of gross product and I would like to disaggregate to trimestral data. Can I import a matlab library of Quilis? ( http://www.mathworks.com/matlabcentral/fileexchange/24438-temporal-disaggregation-library ) Thanks, Sebasti?n.

Hi, Suppose I have the following data name     score Abel        88 Baker      54 Charlie    77 stored a  table called myData. I want to write a function that will create a table which is a subset of myData containing those have a score > 75. I know I can do this with the following command: subset(myData, score > 75) But I would like to do this via a function, something like:

i appologise for the trivialness of this post - but i've been searching the forum wothout luck - probably simply because it's late and my brain is starting to go.. i have a frequency table as a matrix: orig<-matrix(c(40,5,30,25), c(2,2)) orig [,1] [,2] [1,] 40 30 [2,] 5 25 i basically need a random sample say 10 from 100: [,1] [,2] [1,] 5 2 [2,] 0 3 i

Ok, so I'm slowly figuring out what a factor is, and was able to follow the related thread about finding a mode by using constructs like my_mode = as.numeric(names(table(x))[which.max(table(x))]) Now, suppose I want to keep looking for other modes? For example, Rgames> sample(seq(1,10),50,replace=TRUE)->bag Rgames> bag [1] 2 8 8 10 7 3 2 9 8 3 8 9 6 6 10 10 7 1

Here's my contribution to R. When R interacts with external programs (MySQL, cURL, etc.), it often requires a pasted string that is sent to these programs. For readability reasons, it is often preferable to have complex commands (SQL for example) spread on several lines. However, the normal paste function requires to add additional ' ", ' at the end of each line and another '

Dear R users, First of all sorry for this question, surely quite naive. (I searched on the R site but was unable to find by myself). I have a table, called infile : 1 2 3 4 5 6 7 8 9 I would like to read it and ignore the rows with 1st element > 3 I do it now with a for loop, and it's ok, but I was expecting something simpler, like : intable = read.table(infile); newtable =

Today's "frustrated programmer" award goes to Linphone, which has the following debug output: > (linphone:28655): LinphoneCore-WARNING **: this fucking remote sip phone did not answered properly to my sdp offer! I get this message when I connect to linphone using a softphone, or when I try to use linphone to connect to asterisk and listen to an announcement. I suspect that

Asterisk doesn't work with the latest CVS of ALSA (2003-06-24) . The module chan_alsa.so won't load even if the oss module, chan_oss.so, isn't loaded. There are no error messages. I've been chasing ALSA/Asterisk/client problems in one form or another for some time now. In previous versions of Asterisk and ALSA -- i.e., last week -- I could load either chan_oss.so or

I've built the latest CVS of asterisk -- not the zaptel or libpri directories, just the asterisk directory. asterisk installs successfully, but there are severe problems. I built this system in the past and ran it, but now building it again fails. This is the CVS as of this morning, 2003-06-13, but I had problems on 06-11/12 as well. After make; make install; make samples; make config, I

I have a Newbee question: i have three tables and want to connect them. so is it stupid to make a triple m:n (rails style xs_ys_zs) or do i have to make a new table (newtable) where i got multiple 1:n? the habtm (has and belongs to many) do only work proper to join two tables, or i am wrong? -jens -- Posted via http://www.ruby-forum.com/.

I have been using R 2.10.1. and Bioconductor but the package "MLIntrefaces" is not being loaded on my platform. the error message Error in loadNamespace(i[[1L]], c(lib.loc, .libPaths())) : there is no package called 'coin' Error in as.environment(pos) : no item called "newtable" on the search list Error: package/namespace load failed for 'MLInterfaces'

Hi R users, I am using RMySQL to connect to a database in MySQL. I have 3 questions. 1)When I give the following command dbListTables(con) I get the output stack imbalance in .Call, 142 then 143 stack imbalance in <-, 140 then 141 stack imbalance in {, 138 then 139 stack imbalance in standardGeneric, 126 then 127 stack imbalance in class, 121 then 122 stack imbalance in

Hi, I'm using GAGE/pathview to analyze my RNA-seq and phospho-protein data. The following error occurs after this command line below: >pv.out.list <- sapply(path.ids2[1:3], function(pid) pathview( gene.data = cnts.d, pathway.id = pid, gene.idtype="SYMBOL",kegg.native = F, same.layer = T, species = "hsa", kegg.dir = "test", out.suffix = "up"))

Hello, I'm trying to get the count of values in each row that are above and below quantile thresholds. Thanks! Example: > x = matrix(1:30,5,6) > x [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1 6 11 16 21 26 [2,] 2 7 12 17 22 27 [3,] 3 8 13 18 23 28 [4,] 4 9 14 19 24 29 [5,] 5 10 15 20 25 30 > qtl = t(apply(x, 1,

Dear R-help,   Chi Square Test for Goodness of Fit     Problem Faced :   I have got a discrete data as given below (R script)   No_of_Frauds <-c 1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,2,1,2,2,2,1,1,2,1,1,1,1,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,1,2,1,1,1,1,1,1,1,3,2,1,1,1,2,1,1,2,1,1,1,1,1,2,1,3,1,2,1,2,14,2,1,1,38,3,3,2,44,1,4,1,4,1,2,2,1,3)   I am trying to fit

Dear R-help, ? ? Chi Square Test for Goodness of Fit ? I have got a discrete data as given below (R script) ? No_of_Frauds<-c(1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,2,1,2,2,2,1,1,2,1,1,1,1,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,1,2,1,1,1,1,1,1,1,3,2,1,1,1,2,1,1,2,1,1,1,1,1,2,1,3,1,2,1,2,14,2,1,1,38,3,3,2,44,1,4,1,4,1,2,2,1,3) ? I am trying to fit Poisson distribution to

Chi Square Test for Goodness of Fit   I have got a discrete data as given below (R script)   No_of_Frauds<-c(1,1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,2,1,2,2,2,1,1,2,1,1,1,1,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,1,2,1,1,1,1,1,1,1,3,2,1,1,1,2,1,1,2,1,1,1,1,1,2,1,3,1,2,1,2,14,2,1,1,38,3,3,2,44,1,4,1,4,1,2,2,1,3)   I am trying to fit Poisson distribution to this data using R.