similar to: paper - download - pubmed

CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This

I am looking for the syntax to capture XML tags marked with /DescriptorName MajorTopicYN="Y"/ , but the combination of the internal space (between "Name" and "Major" and the embedded quote marks are defeating me. I can get all the "DescriptorName" tags, but these include both MajroTopicYN = "Y" and "N" variants. Any suggestions?

Hi: I am trying to search PubMed abstracts which contains BOTH two terms: COL4A1 AND Ocular. I am using the following code: url= "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?" search = paste(url, "db=pubmed&term=COL4A1+AND+Ocular[abstract]&retmax=300", sep="") docId <- xmlTreeParse(getURL(paste(url, search, sep="")),

Hi: I am trying to query pubmed abstracts using the following syntax: url= "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?" search = paste(url, "db=pubmed&term=", queryTerm1, "+AND+", queryTerm2,"+OR+",queryTerm3, "+OR+", queryTerm4, "[abstract]&retmax=100&usehistory=y", sep="") docId <-

I would like to track in which journals articles about a particular disease are being published. Creating a pubmed search is trivial. The search provides data but obviously not as an R dataframe. I can get the search to export the data as an xml feed and the xml package seems to be able to read it. xmlTreeParse("

Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?... Nom : non disponible URL : <https://stat.ethz.ch/pipermail/r-help/attachments/20110518/a7d31ce9/attachment.pl>

> Dear All > > I have data as follows. > > D T M L > 0.20 1 03 141 > 0.32 1 07 62 > 0.50 1 05 49 > 0.80 1 04 46 > 0.20 2 14 130 > 0.32 2 17 52 > 0.50 2 13 41 > 0.80 2 14 36 > 0.20 3 24 120 > 0.32

Hi, since bigglm doesn't have update, I was wondering how to achieve something like (similar to the example in ff package manual using biglm): first <- TRUE ffrowapply ({ if (first) { first <- FALSE fit <- bigglm(eqn, as.data.frame(bigdata[i1:i2,,drop=FALSE]), chunksize = 10000, family = binomial()) } else { fit <- update(fit,

> @@ -461,6 +460,7 @@ static void handle_tx(struct vhost_net *net) > struct socket *sock; > struct vhost_net_ubuf_ref *uninitialized_var(ubufs); > bool zcopy, zcopy_used; > + int i, batched = VHOST_NET_BATCH; > > mutex_lock(&vq->mutex); > sock = vq->private_data; > @@ -475,6 +475,12 @@ static void handle_tx(struct

> @@ -461,6 +460,7 @@ static void handle_tx(struct vhost_net *net) > struct socket *sock; > struct vhost_net_ubuf_ref *uninitialized_var(ubufs); > bool zcopy, zcopy_used; > + int i, batched = VHOST_NET_BATCH; > > mutex_lock(&vq->mutex); > sock = vq->private_data; > @@ -475,6 +475,12 @@ static void handle_tx(struct

Hello guys, I want to increase contrast of colors in my matrix plot. I attached final plot with heatmap. How I could increase contrast with 9 kind of color. Thanks Nooshin [[alternative HTML version deleted]]

Hi All, I use arules library, and try to create an association rules for this transaction file: a,c,f,3,4,5 b,e,1,2,4 a,c,e,f,1,3,4,5 d,5 b,c,e,f,1,2,3,4 a,c,e,f,1,3,4,5 b,c,e,f,1,3,4 b,e,1,2,4 a,c,e,f,1,3,4,5 a,b,c,e,f,1,3,4 a,c,d,f,3,4,5 I want to get the rule such: {c,e,f}=> {3,4,5} I used this command: ar=apriori(tr, parameter=list(support=.4, confidence=0.8, maxlen=11), appearance

Hi I work with cmsaf package and have a script for prepare data in R. I run this script and have some error like this:Error in if (startdate < dates[1]) (dums <- 1) : missing value where TRUE/FALSE needed In addition: Warning messages: 1: running command 'tar.exe -tf "D:/CM SAF/ORD24552.tar"' had status 2 2: In eval(ei, envir) : NAs introduced by coercion 3: In eval(ei,

Dear Mr/Mrs I need to generate a random data only with (0.23, 0.56, 0.45, 0.85, 0.7) with known mean, SD, correlation length, in a matrix 50*50. I know R coeds but in this case, I could not find to generate only with finite numbers that I have. Please guide me . Best Regards Nooshin [[alternative HTML version deleted]]