similar to: help on R "plot"

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Hi, I have a scalar valued function with several variables. One of the variables is restricted to be non-negative. For example, f(x,y)=sqrt(x)*exp(y), then x should be non-negative. I need the gradient and hessian for some vector (0,y), i.e., I need the gradient and hessian at the boudary of parameter space. The "numderiv" package does not work, even for f(x)=sqrt(x), if you do

Hi, Could the subject be done successly under wine now? Best regards, Yu Huang _________________________________________________________ Do You Yahoo!? "ÊÇIT¾«Ó¢Âð£¿Ð¡ÊÔÅ£µ¶»ñʱÉд󽱣¡" http://cn.promo.yahoo.com/cgi-bin/udb/u

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I am interested in testing two similar nls models to determine if the lines are statistically different when fitted with two different data sets; one corn, another soybean. I know I can do this in linear models by testing for interactions. See Introductory Statistics with R by Dallgaard p212-218 for an example. I have two different data sets I am comparing to lai. ci.re should have very

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Is there a "canned" function in R for finding the standard error of the mean? I have tried > sem <- function(x) c(mean =mean(x), + SEM = stdev(x)/sqrt(length(x))) > sem(pnet.lai) Error in sem(pnet.lai) : couldn't find function "stdev" It looks like there is no stdev function in R Thanks, Kirk Kirk R. Wythers email: kwythers at umn.edu University of

Thanks it worked for me. I wanted to plot days since planting on x-axis 1 and years on x-axis 3. LAI_simulation$Date <- as.Date( LAI_simulation$Date, '%Y/%m/%d') LAI_simulation$Date <- as.integer(LAI_simulation$Date - as.Date("2009-10-07")) plot(LAI~Date,data=LAI_simulation,xlab="Days since Oct, 7,

Hai? ? Im running:?debian wheezy, sernet samba 4.1.3 , DC, in windows 2008 AD domain. ? Im reading the wiki and i stumbled on this. https://wiki.samba.org/index.php/Dns-backend_bind? semanage fcontext -a -t named_var_run_t /usr/local/samba/private/dns/${MYREALM}.zone semanage fcontext -a -t named_var_run_t /usr/local/samba/private/dns/${MYREALM}.zone.jnl the strange thing is, and this is

Dear all, I have several questions regarding fisher.test() in R, and I'd highly appreciate any help with it. I have a group of observations, each having people's income, and an indicator of whether selected in or out a program. I want to test the difference between income of people who are in and out. Because the distribution is far from normal, I decide to use the fisher's exact

Dear all, I have several questions regarding fisher.test() in R, and I'd highly appreciate any help with it. I have a group of observations, each having people's income, and an indicator of whether selected in or out a program. I want to test the difference between income of people who are in and out. Because the distribution is far from normal, I decide to use the fisher's exact

Can someone please help me understand the examples given in the dwt function of the waveslim library library(waveslim) ?dwt I'm having a problem understanding these lines. I assume they are required because of how the algorythm deals with the signal bounderies. Am I correct in thinking that for wavelets of scale 1 and 2, the coefiecints need to be shifted by 2 places, for scale 3 and 4 shift

>From dcd47a609f4489bb37ce33ea1ce975bb2b3ab160 Mon Sep 17 00:00:00 2001 From: Hongli Lai (Phusion) <hongli at phusion.nl> Date: Mon, 6 Jun 2011 13:36:57 +0200 Subject: [PATCH] Document the method for building the Unicorn gem. Signed-off-by: Hongli Lai (Phusion) <hongli at phusion.nl> --- HACKING | 11 +++++++++++ 1 files changed, 11 insertions(+), 0 deletions(-) diff --git

Hi LLVM community, I am writing a custom pass for analyzing the dependence information for the memory access within a loop. I found “LoopAccessLegacyAnalysis” class useful, however I m not able to obtain information from that pass. Here is what I did to get the information: // require pass virtual void getAnalysisUsage(AnalysisUsage &AU) const {

Dear all, I have another question about fisher.test: Is there any way to save the resulting p-value in a matrix or file after a loop as below? for (i in 1:42) { # testing difference in income(pinc) between people in # (with in1=1) and out (with in1=0) of the program for # group i fisher.test(m$pinc[m$group==i], m$in1[m$group==i], workspace=40000000, hybrid=F)} When I run this loop, there is no

Dear all, I have another question about fisher.test: Is there any way to save the resulting p-value in a matrix or file after a loop as below? for (i in 1:42) { # testing difference in income(pinc) between people in # (with in1=1) and out (with in1=0) of the program for # group i fisher.test(m$pinc[m$group==i], m$in1[m$group==i], workspace=40000000, hybrid=F)} When I run this loop, there is no

Hi, Has anyone had success in building R source with Visual Studio? I followed the instructions in README.packages, but failed on the very first step, where it's looking for R.dll. I looked through R source and couldn't find the file. Can someone point me to where this file is located or generated? Thanks! Sincerely, Jennifer