similar to: De-data.fram-ize?

Dear useRs, I need to compute zero of polynomial function fitted by lm. For example if I fit cubic equation by fit=lm(y~x+I(x^2)+i(x^3)) I can do it simply by polyroot(fit$coefficients). But, if I fit polynomial of higher order and optimize it by stepAIC, I get of course some coefficients removed. Then, if i have model y ~ I(x^2) + I(x^4) i cannot call polyroot in such way, because there is

Dear useRs, I would like to summarize results of several tests in groups of two columns - statistic, p-value, statistic, p-value etc. There would be nice to add significance stars, but printCoefmat allows to do it only to last column. Is there any way to do format such table without writing my own complicated function? Thank you in advance, -- Lukasz Komsta Department of Medicinal

Dear useRs, I have a curve which is a mixture of Gaussian curves (for example UV emission or absorption spectrum). Do you have any suggestions how to implement searching for optimal set of Gaussian peaks to fit the curve? I know that it is very complex problem, but maybe it is a possibility to do it? First supposement is to use a nls() with very large functions, and compare AIC value, but it is

Hi, I'm using a fairly simple HP Compaq desktop PC running Windows 2K. When running a large process in R, the process "RGUI.exe" will never exceed 50% of the CPU usage. The program used to be able to use more of the computer, but does not now. I don't believe this is a multiple processor machine. Can anyone give any advice on how to solve the problem? Thanks, Michael

Dear useRs, I was searching CRAN for implementation of kurtosis and skewness tests, and found that there is some kind of lack on it. So, I have written three functions: 1. Anscombe-Glynn test for kurtosis 2. Bonett-Seier test based on Geary's kurtosis (which is not widely known, but I was inspired by original paper describing it, found coincidentally in Elsevier database) 3.

Dear All, I have small samples of data (between 6 and 15) for numerious time series points. I am assuming the data for each time point is normally distributed. The problem is that the data arrvies sporadically and I would like to detect the number of outliers after I have six data points for any time period. Essentially, I would like to detect the number of outliers when I have 6 data points then

Subject: user/3610: repetable tcpdump remote crash Resent-Date: Sat, 20 Dec 2003 08:55:02 -0700 (MST) Resent-From: gnats@cvs.openbsd.org (GNATS Filer) Resent-To: bugs@cvs.openbsd.org Date: Sat, 20 Dec 2003 16:42:25 +0100 (CET) From: venglin@freebsd.lublin.pl Reply-To: venglin@freebsd.lublin.pl To: gnats@openbsd.org >Number: 3610 >Category: user >Synopsis: repetable

Try using the dlls from windows 95 cd, I'm not talking about the dcom95 dlls, but the dlls win95 installs in c:windows/system. > > > puoti@inwind.it wrote: > > Did you use only win95 dlls? If you used dlls from any other version of > > win, htere could be problems with dcom 95. > I used dll's only from dcom95 which are listed at appdb.winehq.org > > Without

With pleasure we announce the release of tinc version 1.1pre16. Here is a summary of the changes in tinc 1.1pre16: * Fixed building with support for UML sockets. * Documentation updates and spelling fixes. * Support for MSS clamping of IP-in-IP packets. * Fixed parsing of the -b flag. * Added the ability to set a firemall mark on sockets on Linux. * Minor improvements to the build system.

With pleasure we announce the release of tinc version 1.1pre16. Here is a summary of the changes in tinc 1.1pre16: * Fixed building with support for UML sockets. * Documentation updates and spelling fixes. * Support for MSS clamping of IP-in-IP packets. * Fixed parsing of the -b flag. * Added the ability to set a firemall mark on sockets on Linux. * Minor improvements to the build system.

I would like ask again, because I cant find the answer I have such problem: My data containing 4 variables (A,B,C,D) and are completed from 4 samples. Each of matrix is such: A B C D A 1 ab ac ad B ab 1 bc bd C ac bc 1 cd D ad bd cd 1 My hypothesis are that ad is the strongest correlation for A and for D (sign doesn't matter) bc is

https://bugzilla.samba.org/show_bug.cgi?id=10211 Summary: Log lines sent to files should not human-readable-ize numbers, ever Product: rsync Version: 3.1.0 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at samba.org

Hi, I have a data frame of about 700 000 rows which look something like this: Date Temperature Category 2007102 16 A 2007102 17 B 2007102 18 C but need it to be: Date TemperatureA TemperatureB TemperatureC 2007102 16 17 18 Any suggestions? /Angelica -- View this message

Hi! This little patch turns bitwise.c's mask[] lookup table into a bit-twiddling macro (which avoids the <<32 case without branching). This spares the size of the 132-byte lookup table (and then a bit more, curiously). While I expected this to generally be faster (because it uses a few more instructions in place of a table lookup), it's actually slightly slower than the LUT, in a

raw <- read.csv(file=filename, head=TRUE,sep=",") I've read in a csv file, and I'm looking to access a column whose name is held in a string. For example, I want to access raw$one or raw$two, but this will depending on the string. Let's say that the string is decision<-"one". How would I access raw$one? The following doesn't work:

Dear all, I have two questions under syslinux. First. When I start the system with syslinux, some messages display on the screen and want me to enter display mode to show or enter "scan" the scan the display resolution. If I made anything wrong? Second. I used the same kernel image as above and different cpu care(SBC), It can work perfectly

I'm a newbie, so please forgive me: I have a data frame that includes two long columns of x and y coordinate values thusly: ... ... ... x y ... ... ... ... ... 115 127 ... ... ... ... ... 120 129 ... ... ... ... ... 0 0 ... ... ... ... ... 135 162 .... ... ect... i need to ask R tell me how many x-y pairs contain coords that are

Hello, I've got a data frame with a mix of numeric, integer and factor columns. I'd like to pull out (or just operate only on) the numeric/integer columns. Every thing I've found in searches is about how to subset by rows, or how to operate assuming you have the column names.  I'd like to pull by type. Thanks! Barry [[alternative HTML version deleted]]

Hello list Does anybody know of any way to create an index of all the possible combinations of variables (factors) in a data frame? ie for 3 factors A, B & C we have A B C AB AC BC ABC which equates to columns 1, 2, 3, 1:2, (1,3), 2:3 and 1:3. I realise that a function like model.matrix does this, but how to get the seqence of the index? Any help would be greatly appreciated.

> From: Gorjanc Gregor > > ! Look after character ! > > From: Prof Brian Ripley [mailto:ripley@stats.ox.ac.uk] > You too have not give an reproducible example! > ! Yes, I was not able to do it from my data. But bellow is one. It is > ! a stupid one, but it works. The problem is use of as.data.frame in > ! tmp1$L <- as.data.frame(tmp$L). This looks like to produce