similar to: Power Analysis

Hi, Anybody know what are the common Standard statistical methods used for the analysis of a dataset,and anybody know which of these methods give similar results Ram [[alternative HTML version deleted]]

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="")),

I have a new device that takes measurements anywhere from every second, to every 15 minutes (depending on changes). The matrix has a date, time and Y column (Y is the measurement). For three days it is 25,000 rows. How do I average the measurements by every 30 minutes so my matrix is 48 rows per day? I have been working on this and cannot figure out a simple method. Any ideas? Thank you. ----- In

I have times and would like to round down to the earliest 30 minute increment. For instance, a time of 2011-04-28 09:02:00 (the as.numeric value = 1303999320) I would like it to be rounded down to: 2011-04-28 09:00:00 (the as.numeric value = 1303999200) Any ideas of how to do this? ----- In theory, practice and theory are the same. In practice, they are not - Albert Einstein -- View this

Sometimes I have NA values within specific columns of a dataframe (in this example, the first two columns can have NAs). If there are NA values, I would like them to be removed. I have been using the code: y<-c(NA,5,4,2,5,6,NA) z<-c(NA,3,4,NA,1,3,7) x<-1:7 adata<-data.frame(y,z,x) adata<-adata[-which(apply(adata[,1:2],1,function(x)any(is.na(x)))),] This works well if there are NA

I have a matrix where one column has a date and another column has a time. I need to delete all times before 6am. I had combined the Date and Time column into DateTime. Mat1: Weight Date Time 7.6 04/28/11 09:03 8.4 04/29/11 03:11 8.6 04/29/11 05:32 8.6 04/29/11 09:53 1.4 05/01/11 19:52 I tried just picking up the time: as.POSIXct(Mat1$Time, format = "%H:%M") but

Everyone, I'm very new to R, especially when it comes to loops and functions, so please bear with me if this is an elementary question. I cannot seem to figure out how to construct a loop which runs a function until a certain value is computed. For example, say I have the following: num = numeric (10) num [1] = 0 for (i in 2:10) { num [i] = num [i-1] + 5 } This adds 5 to the

I would like to create a plot of y vs x with different treatments where the points are actually the letter of the treatment. Here is the code: A<-as.matrix(rnorm(10,10)) B<-as.matrix(rnorm(10,9.5)) C<-as.matrix(rnorm(10,10.5)) Y<-as.matrix(rnorm(30,13)) X<-rbind(A,B,C) nA<-matrix("A",10,1) nB<-matrix("B",10,1) nC<-matrix("C",10,1)

What are some effective ways to leverage the strengths of R and Mathematica for the analysis of a single data set? More specifically, are there any functions that can assist with any of the following? 1. Calling an R function from Mathematica. 2. Calling a Mathematica function from R. 3. Using XML or another reliable data format to pass vectors, matrices, and/or lists from one environment to

Hello, thanks for the help. Yes And the commands to discovery iscsi results ok Such iscsiadm --mode discovery --type sendtargets And scsiadm -m node -T And the disks appear on pvdisplay 2018-03-14 16:23 GMT-03:00 Marcelo Roccasalva < marcelo-centos at irrigacion.gov.ar>: > On Wed, Mar 14, 2018 at 4:08 PM, marcos sr <msr.mailing at gmail.com> wrote: > > > >

Currently, if we don't enable CONFIG_OCFS2_FS_POSIX_ACL, ocfs2 will not support acl. That is OK. But in the following case: 1. kernel isn't built to support acl. 2. mount -t ocfs2 -o acl /dev/sdx /mnt/ocfs2. It sucesses. And what's more, if I do "mount|grep sdx" will get /dev/sdx on /mnt/ocfs2 type ocfs2 (rw,acl,heartbeat=none) So a normal user will just think acl now is ok

Hello all, I had a very strange looking problem that turned out to be due to unexpected (by me at least) format changes to one of my data files. We have a small lab study in which each run is represented by a row in a tab-delimited file; each row identifies a repetition of the experiment and associates it with some subjective measurements and times from our notes that get used to index another

Hi. CENTOS 7.6.1810, fresh install - use this as a base to create/upgrade new/old machines. I was trying to setup two disks as a RAID1 array, using these lines mdadm --create --verbose /dev/md0 --level=0 --raid-devices=2 /dev/sdb1 /dev/sdc1 mdadm --create --verbose /dev/md1 --level=0 --raid-devices=2 /dev/sdb2 /dev/sdc2 mdadm --create --verbose /dev/md2 --level=0 --raid-devices=2

Hi, This is a question regarding technique rather than an R specific issue. I have been asked to evaluate a 30+ year long term continuous survey of bird presence/absence data that has an associated ocular estimate of the vegetation community percent coverage. The data are organized by subpopulations (5), and by year ( 1991 - present). We are interested in gaining understanding on whether bird

Dear R users, I am stuck trying to figure out how to make a function return one value and print another.? Here is an example function: ################## eg <- function(x, digits=4) { xbar <- mean(x) sdx <- sd(x) value <- list(xbar, sdx) names(value) <- c("Mean of X", "SD of X") return(value)} ################## My current "solution" has been to

Hello, This is the second attempt to bring in cross subvolume reflinks into btrfs. The first attempt was NAKed due to missing vfs mount checks and a clear description of what btrfs subvolumes are and probably also why cross subvolume reflinks are ok in the case of btrfs. This version of the patch comes from David and is in SUSE kernels since a long time, so it is tested and working. The patch

Am 22.01.2014 09:27, schrieb Ronald F. Guilmette: > In message <BLU0-SMTP46982596DE9C2639CEB6B078BA40 at phx.gbl>, Ady wrote: > >> I am going to repeat what Genec requested at some point. Please post >> the result of (replace 'sdX' with the adequate device): >> >> 'fdisk -l -c=dos -u=cylinders/dev/sdX' >> and >> 'fdisk -l

I found this thread from a few months ago that seems to have been started by someone with the same problem I have, but it was not resolved: https://www.redhat.com/archives/ext3-users/2005-March/msg00000.html I have been trying to speed up my boot times and I notice that a lot of time is spent waiting on IO. Even with readahead-list precacheing files, it is reading at less than 1/4 of my

I want to implement the following algorithm in R: I want to split my data, use a t test to compare both means of the groups to see if they significantly differ from each other. If this is a yes (p < alpha) I want to split again (into 4 groups) and do the same procedure twice, and stop otherwise (here the problem arises). As a final result I would have different groups of data. I made some

I have a dataset like this: p aa index x y z sdx sdy sdz delta as ms cur sc 1 821p MET 1 -5.09688 32.8830 -5.857620 1.478200 1.73998 0.825778 13.7883 126.91 92.37 -0.1320180 111.0990 2 821p THR 2 -4.07357 28.6881 -4.838430 0.597674 1.37860 1.165780 13.7207 64.09 50.72 -0.0977129 98.5319 3 821p GLU 3 -5.86733 30.4759