similar to: Pretty-printing multiple regression models

The R code I just mailed out had a small error in it. This one works. Now what one needs is a way to get decimal alignment in LaTeX tabular objects. x1 <- runif(100); x2 <- runif(100); y <- 2 + 3*x1 - 4*x2 + rnorm(100) m1 <- summary(lm(y ~ x1)) m2 <- summary(lm(y ~ x2)) m3 <- summary(lm(y ~ x1 + x2)) # What I want is this table: # #

Hi there, I have been using the example provided bellow for a while, and It was working without any problem. Nevertheless, just since 2-3 days is not working, probably because I did update.packages(). I have tried to re-install the older versions of the packages Hmisc() and xtable(), but still does not work. Can you run this example, and tell me if you got the same problems? I use

Hi dear all, suppose that s is a statistic code; i have a matrix (x) which has 7 columns (1=x1,2=x23=x3,4=x4,5=x5,6=x6 and7=y) and has 20 rows. i want to do linear reggression like reg<-lm(x[,7]~1+x[,1]+x[,2]+.......+x[,6]) but i want to do delete i th row for nrows times and create regression model like above and compute each models' "s" statistics and list them. but i could

Hello gurus, I have some variables, and i am creating combinations for analysis in the end i need these variables to be displayed like "LEPTIN+SAA+PTH". currently i am using loop to perform this. I would appreciate any pointers to do it without the loop. > mols=c("LEPTIN","SAA","PTH","sEGFR") > samples=mols[1:3] > samples [1]

Hi, In grid 4.0, adding two complex units by `sum()` seems to give wrong results. In the following example, `u1 + u2` gives the correct result, but `sum(u1, u2)` also `sum(unit.c(u1, u2))` give the wrong results. ``` library(grid) u1 = 0.4*sum(unit(1, "inch"), unit(1, "mm")) u2 = 0.1*sum(unit(1, "inch"), unit(1, "mm")) u1 # [1] 0.4*sum(1inches, 1mm)

Hello All, I am trying to open all files within a folder and create multiple histograms from each file, *and* have it save with the original file name plus some new information. The way I have it set up right now, I keep saving over each new graph. I can turn the history on and see them all, but I want them all to save as unique files as well. Idealy they would be "filename CHN 1mm Length

Hi there, I have a data frame as listed below: > Ca.P.Biomass.A P Biomass 1 334.5567 0.2870000 2 737.5400 0.5713333 3 894.5300 0.6393333 4 782.3800 0.5836667 5 857.5900 0.6003333 6 829.2700 0.5883333 I have fit the data using logistic, Michaelis?Menten, and linear model, they all give significance. > fm1 <- nls(Biomass~SSlogis(P, phi1, phi2, phi3), data=Ca.P.Biomass.A)

Dear all, I'm trying to fit a statistical model to series of measurements. Unfortunately, my knowledge of statistics is rather limited, so I'm a bit at loss of what is going on with the model. First of all, I've prepared a histogram. Then, I've tried to fit a Poisson model to express the relation between the middle points of classes (mids) and the corresponding frequencies

I finally got nouveau (from git) working on my PowerBook G4 12". Now, my next step is to get it to drive my TV. I have it connected via Apple's "mini-DVI to Video Adapter", which comes with both an S-video and a composite output. When I start X, `xrandr' tells me: % xrandr Screen 0: minimum 320 x 200, current 1024 x 768, maximum 1360

This has been puzzling me for some time and despite bothering Auntie Google rather a lot, I've yet to find a satisfying answer. As an old-time (since 1981) unix and X guy, I've generally been fairly well-able to get fonts to behave in a rational manner. My needs are pretty simple - I just want 8-point (or 9-point etc) fonts to appear on the screen as 8-point font - ie more or less 8 *

Hello R users I have question about the time involved in list assignment. Consider the following code snippet(see below). The first line creates a reader object, which is the interface to 1MM key-value pairs (serialized R objects) spanning 50 files (a total of 50MB). rhsqstart initiates the reading and I loop, reading each key-value pair using rhsqnextKVR. If this returns NULL, we switch to the

I think I have narrowed down the problem why smbd processes are soaking up so much CPU on our file server. Here are some selected samples from strace output as I attached to the offending smbd process: Culprit #1 I took three sample snapshots, each lasted for several seconds, and I took them minutes apart from each other. I noticed many lines involved stat'ing the a single file in the

Dear list, Consider the following, library(grid) w = unit.c(unit(1, "in"), unit(2, "in")) w2 = w + unit(1, "mm") w[2] <- 0 w2[2] <- 0 convertUnit(w, "mm") #[1] 25.4mm 0mm convertUnit(w2, "mm") #Error in grid.Call("L_convert", x, as.integer(whatfrom), as.integer(whatto), : # INTEGER() can only be applied to a

http://bugs.freedesktop.org/show_bug.cgi?id=19491 Summary: S-video & composite output Product: xorg Version: 7.4 Platform: Other OS/Version: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org ReportedBy: monnier at

Dear sir,    How to do bilinear time series in R?Is there any functions or packages?  thank you! -----Sincerely yours Kuangnan Fang 方匡南 敬上 department of statistics ,Economics school,Xia men University. Fujian Province (361005) China Mobile Phone：15860721915 SKYPE: ruiqwy MSN Messenger: ruiqwy@hotmail.com QQ:39863401 --- 09年3月31日，周二, r-help-request@r-project.org

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++