similar to: A patch for ocfs2 source configuration process.

Hello, Is there a simple way of stacking/merging two dataframes in R? I want to stack them piece-wise, not simply add one whole dataframe to the bottom of the other. I want to create as follows: x.frame: aX1 bX1 cX1 ... zX1 aX2 bX2 cX2 ... zX2 ... ... ... ... ... aX99 bX99 cX99 ... zX99 y.frame: aY1 bY1 cY1 ... zY1 aY2 bY2 cY2 ... zY2 ... ... ... ... ... aY99 bY99 cY99 ...

Hi, all. Table Generator wiki page is replaced a Chinese ad. url at: http://wiki.rubyonrails.com/rails/pages/Table+Generator any body can restore it ? Thanks very much. a screenshot taken at: http://homepage.mac.com/xuqingkuang/show/wiki.rubyonrails.com-rails- pages-Table+Generator.png --------------------------------------------------- Xuqing

Hello I am trying to write a function that would plot timeseries easily... I aim at plotting two time-series on 2 different y axis sharing the same x-axis I succeded in doing so: plotTimeSerie(x,y,y2,[a lot of other args]){ ... plot() axis.POSIXct(side=1) #here I build the x-axis points() #here I plot the first time serie related to y-axis ... axis(side=2,[some args])

I have a general question about using thin plate splines in the surf and ordisurf routines. My rudimentary knowledge of a gam is that with each predictive variable there is a different smooth for each one and then they are added together with no real interaction term (because they don't handle this well?). Now, If I have two variables that have a high D^2 score and a low GCV score (I am

Hi R-users, I try to put image legend via image.plot function, but I do not know put this in log scale. The last line of code put legend in linear scale, but I want put this in log scale. This is a image of the ocean color web site 8-day composite L3 4KM. Anybody colud get me advise please. This is de code... uno<-schl[1,,] rn_cl<-exp(range(uno,na.rm=T)) x11()

Hi R-community, I am doing a PCA and I need plots for different combinations of axes (e.g., PC1 vs PC3, and PC2 vs PC3) with the arrows indicating the loadings of each variables. What I need is exactly what I get using biplot (pca.object) but for other axes. I have plotted PC2 and 3 using the scores of the cases, but I don't get the arrows proportional to the loadings of each variables on

Hi, I have a large data set that I input as a matrix, where I have 1:x rows with names AX, then x+1: y rows named AY, etc. The idea is that I have to count how many rows exactly I have with name AX and how many I have with name AY (or find which row numbers have names AX). Is there any way in R to count a number of rows with a name matching a required pattern? Thanks in advance, Katie --

Forgive me if this is a trivial question, but I couldn't find it an answer in former forums. I'm trying to reproduce some SAS results where they set two parameters equal. For example: y = b1X1 + b2X2 + b1X3 Notice that the variables X1 and X3 both have the same slope and the intercept has been removed. How do I get an estimate of this regression model? I know how to remove the intercept

Sometimes I write code like this: > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !pubid %in% c(104, 106, 107, 108)) and I get a little worried that maybe I've remembered the precedence rules wrong, so I change it to > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !(pubid %in% c(104, 106, 107, 108))) and pretty

What was happening in file_owner function did not match the description in the comment. When a path is owned by multiple packages the returned string was in fact a concatenation of the names of all packages that own it. E.g. for `Linux.is_file_owned g inspect "/etc"` the returned value was "filesystemyum" (i.e. "filesystem" + "yum"). Signed-off-by: Tom??

Dear all, I found the following behaviour > rf(5,Inf,Inf) [1] 1 1 1 1 1 but > qf(0.1,Inf,Inf) [1] NaN Warning messages: 1: In qf(0.1, Inf, Inf) : value out of range in 'lgamma' 2: In qf(p, df1, df2, lower.tail, log.p) : NaNs produced incidentally, > pf(1.00000000000001,Inf,Inf) [1] 1 > pf(1.0000000000000001,Inf,Inf) [1] 0.5 Is this the expected behaviour? Thanks

Please help me interpret the following results. The full model (Schwa~Dialect*Prediction*Reduction) was reduced via both update() and step(). The minimal adequate model is: ancova<-lm(Schwa~Dialect+Prediction+Reduction+Dialect:Prediction) Schwa is response variable Dialect is factor, two levels ("QF","SF") Prediction is factor, two levels ("High","Low")

Hello. I'm trying to find a way in R to calculate between and within subject variances and confidence intervals for some analytical method development data. I've found a reference to a method in Burdick, R. K. & Graybill, F. A. 1992, Confidence Intervals on variance components, CRC Press. This example is for Balanced Data confidence interval calculation from Pg 62. The data are

Hello, I'm using var.test to do a simple F-test for equality of variances. I think I'm missing something small here: > m<-rnorm(10,sd=1) > n<-rnorm(5,sd=1) > var.test(m,n) F test to compare two variances data: m and n F = 13.7438, num df = 9, denom df = 4, p-value = 0.02256 alternative hypothesis: true ratio of variances is not equal to 1 95 percent confidence

My box did upgrade itself automatically from the initial 5.5 DVD installation to 5.7 How can I tell if my box has been automatically upgraded from 5.7 to 5.8 please? I see the CentOS-CR.repo is still in my /etc/yum.repos.d/ directory. Is that repo responsible for doing the automatic upgrades for Centos 5.x? Kind Regards, Keith Roberts

Hi, I'm using the R library(car) to draw confidence/prediction ellipses in a scatterplot. >From what i understood the ellipse() function return an ellipse based parameters: shape, center, radius . If i read dataEllipse() function i can see how these parameters are calculated for a confidence ellipse. ibrary(car) a=c(12,12,4,5,63,63,23) b=c(13,15,7,10,73,83,43) v <-

Hello I am trying to install the R RPM for Suse 10.0 on an x86_64 PC. However I am failing a dependency for "libpng12.so.0" straight away PC5-140:/home/rmgzshd # rpm -i R-base-2.5.0-2.1.x86_64.rpm error: Failed dependencies: libpng12.so.0(PNG12_0)(64bit) is needed by R-base-2.5.0-2.1.x86_64 I do seem to have this file PC5-140:/home/rmgzshd # whereis libpng12.so.0

Hi, Everything compiled correctly for the ocfs2 package, but so far the modules will not load with the "well known" module symbol error. FATAL: Error inserting ocfs2 (/lib/modules/2.6.16.27-0.6-smp/kernel/fs/ocfs2/ocfs2.ko): Unknown symbol in module, or unknown parameter (see dmesg) Okay not sure what is up here, any suggestions? BTW, this is the correct module location and I

Linux.file_owner is not used by any other function, so remove it. Linux.is_file_owned is only used when removing kmod-xenpv on old RHEL releases, and so is only required to work for RPM. The old file_owner/is_file_owned functions were completely broken. This replaces them with a simpler, working implementation that only covers the narrow use case of removing kmod-xenpv non-owned directories.

For "include/uapi/*", excluding "linux/" sub-directory, let all files' macro prefix match the standard format, and give related stand comments for their macro suffix. The related standard format is: "_SUBDIRNAME_SUBDIRNAME[_SUBDIRNAME]_FILENAME" (1st _SUBDIRNAME is _UAPI), and use '_' instead of '.' and '-'. Signed-off-by: Chen Gang