similar to: How to use `[` without evaluating the arguments.

i have a data frame(dat) which has many variables.and i use the following script to get the crosstable. >danx2<-c("x1.1","x1.2","x1.3","x1.4","x1.5","x2","x4","x5","x6","x7","x8.1","x8.2","x8.3","x8.4","x11",

Recently, I noted a post and replies on R-Help from Professor Marc Feldesman regarding a cross tabulation function that generates row and column proportions, marginal values, expected cell values and tests for independence presumably similar in a fashion to the output of the S-Plus crosstabs() function or the SAS Proc Freq. Martin Maechler had posted some code in reply for folks to update and

I know that there are quite a few packages out that there for cluster analysis. The problem that I am facing is finding a package that will not incorporate all my samples into clusters but just the samples that fit a threshold (that I have not set yet and may need help finding the right level) for genotyping. It should be able to "no call" samples outside the clusters. It also needs to

Hi, I am dealing with the following problem. There are two biochemical assays, say A and B, available for analyzing blood samples. Half the samples have been analyzed with A. Now, for some insurmountable logistic reasons, we have to use B to analyze the remaining samples. However, we can do a comparative study on a small number of samples where we can obtain concentrations using both A and

Has anyone used an AJAX data grid with Rails? I am rebuilding a copy of the venture source web site as a first ruby/ rails exercise. If anyone has used a javascript data grid with Rails, I would appreciate sample code, or notes on your experience. The controller action would presumably communicate with the data grid component running on the browser by extracting data from a relational

Dear all, Is there anyway too generate MA plot for 2 qPCR assays (an array of 2x 400). -- View this message in context: http://r.789695.n4.nabble.com/Bioconductor-MA-plot-for-qPCR-array-tp4182805p4182805.html Sent from the R help mailing list archive at Nabble.com.

Hi. I have data which i would want to assess the degree of agreement between two assays, e.g., to evaluate reproducibility or for inter-rater reliability. I have used the Pearson product-moment correlation coefficient. It looks good ranginging between 0.90 to 0.998. Though this looks good. I am told the Concordance correlation coefficient will give a better picture of how reproducible the assay

Hello, I'm trying to fetch a data frame through the C API, and have no problem doing this when all columns are numbers, but when there is a column of strings I have a problem. On the C-side the function looks like: SEXP myfunc(SEXP df), and it is called with a dataframe from the R side with: .Call("myfunc", somedataframe) On the C side (actually C++ side) I use code like this:

Hi dear R-listers, I'm trying to fit a 3-level model using lme in R. My sample size is about 2965 and 3 factors: year (5 levels), ssize (4 levels), condition (2 levels). When I issue the following command: > lme(var~year*ssize*condition,random=~ssize+condition|subject,data=smp,method ="ML") I got the following error: Error in logLik.lmeStructInt(lmeSt, lmePars) :

Hi list: I work with a lot of laboratory analytical data and I often have inconsistent names of files and variables within those files so I wrote this sourcearg function to facilitate handling file and variable names as both character and R names. The source of the function is given below sourcearg=function(arg){ su=sprintf("%s\n",arg) sink("TMPTMPRarg")

Hi everyone, I am getting a segmentation fault (seems to occur randomly) using Asterisk 13.7.0-rc2 with PJProject 2.4.5. It appears to be something that libmysqlclient is complaining about when doing a query in ps_endpoint_id_ips. We are using Asterisk Realtime. This also seems to occur in Asterisk 13.5.0. Below is a backtrace that might help a little. I have looked through the change log for

There are two line 216 and 218 Three development stages 5 WEEK (5W), 7W, 9W. Three tissue: Ca, Co, Pa each with 2 biological replicate. With two biological replicate. I want to do differential gene expression analysis using DESeq2 so I tried these codes after reading about DESeq2: ,my aim is to do the pairwise comparison. how to make colData and design formula. library("DESeq2")

Hi ALL, When i was accessing the voice message it suddenly goes dead and after that i couldn't able to retrieve the voicemessage again from my mailbox . This happens once in a while for any configured mailboxes I am using the following system configuration. asterisk 1.4.22.1 odbc storage of voicemail messages centos 5.2 64bit unixODBC-2.2.11-7.1 mysql-connector-odbc-3.51.12-2.2

Hi Michael, Here is the result of my first testing: (0) Dr. Watson Sorry, I should have given a more precise description: by default in R exists a function with the name 'table', if you use this name as in odbcPrimaryKeys(0, table) a Dr. Watson occurs, because table does not give a table name. However, it is always a good idea to prevent Dr. Watsons, even if it is triggered by a

Hello, All: The vignette with the sos package used "upquote.sty", required for R Journal when it was published in 2009. Current CRAN policy disallows "upquote.sty", and I've so far not found a way to pass "R CMD check" with sos without upquote.sty. I changed sos.Rnw per an email exchange with Prof. Ripley without solving the problem; see below. The

Greetings ~ I need some assistance determining an appropriate approach to analyzing multivariate binary response data, and how to do it in R. The setting: Data from an assay, wherein 6-hours-post-fertilization zebrafish embryos (n=20, say) are exposed in a vial to a chemical (replicated 3 times, say), and 5 days later observed for the presence/absence (1/0) of defects in several organ systems

Hello all, I have a data file table.txt which i have attached. I am trying to pass the columns as arguments to a function "totnorm" where i am displaying a total normalization plot. The function is given below: totnorm<-function(x,y){scale<-sum(x)/sum(y);xlab<-colnames(x);ylab<-colnames(y);x1<-x[[1]];y1<-scale*y[[1]];plot(x1,y1,xlab=xlab,ylab=ylab,col=6, col.lab=4);}

Hello all, I have a data file table.txt which i have attached. I am trying to pass the columns as arguments to a function "totnorm" where i am displaying a total normalization plot. The function is given below: totnorm<-function(x,y){scale<-sum(x)/sum(y);xlab<-colnames(x);ylab<-colnames(y);x1<-x[[1]];y1<-scale*y[[1]];plot(x1,y1,xlab=xlab,ylab=ylab,col=6, col.lab=4);}

Library gmodels include a function CrossTable that is useful for crosstabulation. In the help, it is indicated that one can call this function as CrossTable(data), were data is a matrix. However, when I try to use this option, it doesn't help. Any idea? Is there a bug? Thanks for your help. Prof. Albert Sorribas Grup de Biomatem?tica i Bioestad?stica Departament de Ci?ncies M?diques B?siques

Dear All, Using RODBC I have read in a (429 x 11) dataframe from Access, and would like to append two columns of transformed data (429 x 2) to the original table (thereby making it a 429 x 13 table). I would ideally like this to be the same name etc as the original table in Access. I have used the following command: R>