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Hi, Rsync 3.0.5 on both sides. receiver is Open Solaris and sender is Linux. I got a nested directory - relatively depth but still it should work. It fails instead. sending daemon args: --server --sender -vvlWHogDtpre.is --ignore-errors --numeric-ids --inplace . TEST/ receiving incremental file list delta-transmission disabled for local transfer or --whole-file [...] overflow: xflags=0x7a

Dear all, I'm still learning and transitioning from SPSS to R (1.9.0, winXP) and today I have data from two repeated measures experiments. For each of the subjects I've averaged for two within-SS factors (2 x 2, 4 means per subjects). One experiment had 16 subjects, the other one 25 (between-SS factor exp). So I have something like: avg.cond <- read.table('data.txt') #

Dear bugs @r; The following reproduces erroneous results on my system using R-gui: platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 4.1 year 2002 month 01 day 30 language R ##################################################### inter.gp.effect <- 0.1 animals <- data.frame(pos = 0:2) SI.model <- function(Animal.group) {

For example, c("dog.is.an.animal", "cat.is.an.animal", "rat.is.an.animal"). How can I identify the common prefix is ".is.an.animal" and delete it to give c("dog", "cat", "rat") ? Thanks _________________________________________________________________ [[alternative HTML version deleted]]

Hi all, I have a population in which I want to follow living and dead animals through time ( 1 simulation, 100 years). I have created 2 arrays for living and dead animals In the starting population there are, say, 500, animals To determine whether each of these animals survives to a following age-class, a uniformal chance is generated, resulting in "TRUE" if the animal lives, or

...vices across the globe. We utilize the finest equipment available in the industry, offer efficient data delivery and unrivaled quality and work until the client is fully satisfied with the end product. We pushed past the limitations of technology and hardware to bring 3D walk-through animations and animated effects to the Web, VHS, DVD and now High-Definition. 3d Animation services 3D Modeling Character.Set.Props. Modeling , and Environment Creation Painting Textures layout Uv,painting the Colour.Bump. Normal Map .etc 3D Animation Rigging.Skinning.Aanimation for game and film Custom 3D...

Hi, I hope this is not too trivial, but I've had this recurring problem and I think there is super easy solution, just not sure what it is. Please see short example below. ?I would like to get the frequency (counts) of all the variables in a single column (that is easy), but I would also like to return the value 0 for the absence of variables defined in another column. For example: animals

Hi all, I have a problem with a variable created by a SELECT CASE statement. See the code below. I would like the variable "event" to be a character variabel as I want to UNION my two SELECTs - and the "event"-variable is a character variable in the first SELECT result. I have tried different ways: * used ' ' in stead of " " around the string I want as the

Dear R-people, recently at s-news we had a discussion about factor(). I thought you might be interested in some of my thoughts about factors. Any comments welcome Best regards Jens Oehlschlaegel-Akiyoshi ------------------------------------------------------------------- I think the problem is deeper than that factors would just be handled inapprobriately by some S+ functions, the

Hi, I tried on this, but couldn't figure it out: Suppose I have a dataframe as follows: dat <- data.frame(Day=rep(rep(c(1,2), each=4),2), Animal = rep(c(1,2), each=8), Count=c(rnorm(8, 100), rnorm(8,90))) 2 animals are being examined on 2 different days. Count is the result. Now I need to point out whether or not there is a difference between the days. I did this by an ANOVA test, while

Dear all, How can I run a constrained correspondence analysis with the following data: 15 animals were measured repeatedly month-wise (over to 2 years) according to ther diet composition (8 food categories). our data.frame looks like this: food 1 2 ... 8 sex season year animal freq 12 8 ... 1 0 summer 2011 1 freq 0 7 ... 0 1 winter 2011 1 ... freq 0 7 ... 0 1 spring 2011 15 We

Hi, The minimize plugin conflicts with Animation. For example, it doesn't let Animation draw shade animations, and interferes with other window event animations. The animation plugin now minimizes the relevant effects to taskbar, so using the two plugins together doesn't make sense anymore. Moreover, by default Animation is off, Minimize is on, and when users enable Animation, naturally

Hi, I have an experiment with 2 independant factors which I have been trying to analyse in R. The problem is that there are several data points recorded on the same animal. However, no combination of treatments is repeated on the same animal. All possible combinations of treatments are done in a random order with as many points as possible being done on 1 animal before moving onto the next. The

...at this option resolves the conflict. So here is a better method to resolve the conflict with animation. The first patch adds a compiz-event handler to Fade that handles animation's activate event to suppress fade on minimize/open/close. The activate event doesn't identify the window being animated. It just tells that there is an animation going on, which is enough for Fade to resolve the conflict. Since Fade doesn't need to use findWindowAtScreen, the performance impact is independent of the number of windows and should be negligible. The second patch removes the minimize_open_close op...

1. Emma is performing an experiment that requires individual handling of some animals. The sizes of the animals are lognormally distributed: The natural logarithms of their sizes has a normal distribution with mean 3 and standard deviation 0.4. The time (in minutes) it takes to handle each animal is given by 10 + s · 1.5 + eε for animals with s ≤ 20 20 + s · 0.8 + eε for animals with s > 20

I want to use select form elements to choose between boolean options. How can I have it default to true and still display the persisted value (either true or false) when editing an existing object? I guess booleans default to false by default so its not obvious how to recognize when it''s a real ''false'' that the user set or default false because the value was null.

Dear helpers, I'm trying to replace a character with a unicode code inside a data frame using gsub(), but unsuccessfully. > data.frame(animals=c("dog","wolf","cat"))->my.data > gsub("o","\u0254",my.data$animals)->my.data$animals > my.data$animals [1] "d??g" "w??lf" "cat" It's not that a data

Hi everyone, I am doing an analysis of reviews in IMDB and am running into trouble getting my data into the right shape for analysis. Key question: I want to know for each word in the IMDB, whether it is over- or under-represented in a particular category (Rating x Genre). I was figuring on estimating this with a g-test, fwiw. But the basic question I'm asking here is about data

Dear R users, Suppose I have an vector like this: animal <- c("Tiger","Panda") I would like to know is there any function that check for the existence of certain item in a vector. e.g. > func("Tiger",animal) # check for the existence of "Tiger" TRUE > func("Acacia",animal) #Acacia is not an item of the animal vector FALSE I know

Hi, I want to create variable names from within my code, but can't find any documentation for this. An example is probably the best way to illustrate. I am reading data in from a file, doing a bunch of stuff, and want to generate variables with my output. (I could make a "list of lists" and name all the elements, but I really want separate variables.) ################# #This is