similar to: clipped lines have wrong slope in log plot (PR#839)

I was able to build Samba 3.0.x under Solaris 10 using the Sun Studio compiler (cc) and the Solaris ld (/usr/ccs/bin/ld) that it uses. Trying to build Samba 3.2.0, however, I immediately run into a problem where the build process assumes the linker understands "--version-script", which is specific to the GNU linker: Linking shared library bin/libtalloc.so /usr/ccs/bin/ld: illegal

With Samba 3.0.x, I would: 1. configure 2. make 3. make test 4. make install (if all went well) When I do a 'make test' with Samba 3.2.0, though, I eventually run into problems like this: RUNNING TESTS testparm_s3 Testing netbios name (0) TEST OUTPUT: Load smb config files from /home/david/build/samba-3.2.0/source/st/lib/smb.conf.tmp params.c:Parameter() - Ignoring badly formed line in

I have a Centos 3 server running Samba 3.0.28. It's a member of an AD domain on a Windows Server 2003 R2 Standard x64 SP2 box. From the W2K3 server I can see the samba share I created. Using the Security tab in the Windows Explorer file properties dialog I can add and remove users and change their permissions. However, in the Permissions tab of the Advanced Security Settings dialog,

I'm trying to build and install Samba 3.0.30 on a Solaris 9 SPARC machine. When I do a "make test", the RW1 test is failing. If I go back and configure and build 3.0.28 with the same settings, and do a make test, everything passes. Here's what I'm seeing with 3.0.30: ---8<--- Testing RW1 (0) TEST OUTPUT: host=127.0.0.2 share=tmp user=root myname=cannes Running RW1

I'm hoping somebody can point me to the right documentation for setting up the following scenario. Earlier this year I had Samba 3.0.28a working as a member server of a (Windows Server 2003) AD domain, using Solaris 10 and Heimdal Kerberos. I was able to log into the server using AD accounts, getent passwd worked, etc. I was using "secruity=ads" with these settings (among other):

I'm building samba-3.2.0 on a Solaris 10 x64 box using the Sun Studio cc compiler. I'm running into a problem. I have a workaround. Let me know if I should post a bug report. A. The problem: $ ./configure --prefix=/usr/local/samba-3.2.0 --with-ads --with-pam --with-acl-support --with-shared-modules=idmap_ad --enable-socket-wrapper --enable-nss-wrapper

[resent, plus small addition; I do not understand why gmail sent a weird charset.] Dear R wizards: I would love to write a general function that matches the slope of a plotted line in an xy-plot at a particular x,y location. something like x<- (1:10)^2; y<- 40:50; plot( x,y, type="l", xlim=c(0,90) ) srt.at5 = text.at.current.plot.with.slope( x, y, 5); text(

I think somebody had a similar problem (also on Solaris), but that thread seemed to die. I've compiled (with Sun Studio cc) and installed samba-3.2.1 on a Solaris 10 x64 box, which is a member of a (Windows Server 2003 controlled) domain. I previously had samba 3.0.28a running on the same machine without any problems. Now winbindd is eating up all of the CPU (on the CPU it's assigned

Hi, for testing if the slope of experimental data differs from a given slope I'm using the function "test_regression_against_slope" (see below). I am now confronted with the problem that I have data which requires a modelII regression (also called reduced major axes regression (RMA) or geometric mean regression). For this I use the function "modelII" (see below). What

I thought the "apply" functions are faster than for loops, but my most recent test shows that apply actually takes a significantly longer than a for loop. Am I missing something? It doesn't matter much if I do column wise calculations rather than row wise ## Example of how apply is SLOWER than for loop: #rm(list=ls()) ## DEFINE VARIABLES mu=0.05 ; sigma=0.20 ; dt=.25 ; T=50 ;

Environment: Sun Solaris 9 sparc Software: Samba-3.3.3, KRB5-1.6.3, OpenLDAP-2.4.11 Problem: Am trying to create shares with Samba so that users can map to folders on this server using Active Directory. I am successful in creating a Kerberos ticket; I can join the domain; and wbinfo -u and -g give me users in the AD. However, getent passwd only gives me a list of users on the server and not in the

Dear Soren and R users: I am trying to use the summaryBy function with weights. Is this possible? An example that illustrates what I am trying to do follows: library(doBy) ## make up some data response = rnorm(100) group = c(rep(1,20), rep(2,20), rep(3,20), rep(4,20), rep(5,20)) weights = runif(100, 0, 1) mydata = data.frame(response,group,weights) ## run summaryBy without weights:

I am learning ggplot2, and need your help. When I try > p <- ggplot(mtcars, aes(x = wt, y=mpg)) + geom_point() > p + geom_abline(slope=5) (from http://had.co.nz/ggplot2/geom_abline.html) the slope of the abline does not change, but this works: > p + geom_abline(intercept=20) In order to have slope work, I have to use > p + geom_abline(aes(slope=5)) Is it a bug, or is there

Hello, I have a linear model with different slopes for different treatment groups. I need to pairwise compare the different slope estimates for the different treatment groups. Is there a package that does pairwise comparisons of slope coefficients, making the appropriate adjustments in the P values? Thanks, John. -- ========================================== John Janmaat Department of

Dear R Community, I am using the package DRC ( to fit a boltzman model to my data. I can fit the model and extract the lower limit, upper limit, and ED50 (aka V50), but I cannot figure out how to get the slope of the curve at ED50. Is there a simple way to do this? I've searched the mailing list and looked through the package documentation, but could not find anything. I am new to r, and

Hello all, * * I'm having some difficulty, and I think the problem is with how I'm using append() nested inside a for loop. The data are: y,x 237537.61,873 5007.148438,227 17705.77306,400 12396.64369,427 228703.4021,1173 350181.9752,1538 59967.79376,630 140322.7774,710 42650.07251,630 5382.858702,264 34405.82429,637 92261.34614,980 144927.1713,1094 362998.7355,1420 203313.6442,1070

hello i have a mixed effect model which gives slope and intercept terms for 6 groups (diagnosis (3 levels) by risk group(2 levels)). the fixed part of the model is -- brain volume ~ Diagnosis + Risk Group + (Risk Group * age : Diagnosis) - 1 thus allowing risk group age/slope terms to vary within diagnosis and omitting a nonsignificant diagnosis by risk group intercept (age was centered)

Dear R-Users, I am new to R, so please excuse the ignorance. I have data: x (2.14, 2.41, 1.09, 0.17, 8.18) y (3.81, 5.13, 0.63, 0.75, 6.35) I would like to use simple linear regression and test 2 things: 1) slope of line of best fit is statistically different from 1 2) y-intercept is statically different from 0 Could anyone provide me with the R terminology to do this? Thanks so much, Dan

Hello, I'm currently using the segmented package of M.R. Muggeo to fit a two-slope segmented regression. I would like to constrain a null-left-slope, but I cannot make it. I followed the explanations of the package (http://dssm.unipa.it/vmuggeo/segmentedRnews.pdf) to write the following code : fit.glm <- glm(y~x) fit.seg <- segmented(fit.glm, seg.Z=~x,psi=0.3) fit.glm

Hello, Is there any formula or way to compare slopes of different functions? If we fit 2 functions in our data, and we have 2 slope parameters, how can we compare these slopes? Plotting y=5x and y=exp(5x) in which slope is equal to 5 in both of them.. doesn't seem that it makes sense to compare them. Maybe what I ask is basic statistics.. but you may be aware of some formula that could