similar to: Small changes to big objects (2): Local Reference Classes

Martin Morgan commented in email to me that a change to any slot of an object that has other, large slot(s) does substantial computation, presumably from copying the whole object. Is there anything to be done? There are in fact two possible changes, one automatic but only partial, the other requiring some action on the programmer's part. Herewith the first; I'll discuss the second

Greetings: I would like comments on this example and after fixing it up, I need help from someone who has access to insert this in R's help page for plotmath. I uploaded a drawing http://pj.freefaculty.org/R/Normal-2009.pdf that is created by the following code http://pj.freefaculty.org/R/Normal1_2009_plotmathExample.R This will be a good addition to the plotmath help page/example.

I'm using R-2.6.2 on Fedora Linux 9. I've been experimenting with plotmath. I wish it were easier to combine expressions in plotmath with values from the R program itself. There are two parameters in the following example, the mean "mymean" and standard deviation "mystd". I am able to use bquote to write elements into the graph title like mu = mymean and R will

Hi All, I have a quick question about using plot.Predict now that the rms package uses lattice. I'd like to add tick marks along the regression line, which is given by data=llist(variablename) in the plot call. The ticks show up fine, but I'd like to alter the color. I know the ticks are produced by scat1d, but after spending a fair bit of time going through documentation, it still

Dear R users, glm.fit() gave me the same AIC's regardless of TRUE or FALSE intercept option. > myX <- as.matrix(1:10) > myY <- 3+5*myX > foo <- glm.fit(x=myX, y=myY, family = gaussian(link = "identity"), intercept=TRUE) > foo$aic [1] 38.94657 > foo <- glm.fit(x=myX, y=myY, family = gaussian(link = "identity"), intercept=FALSE) > foo$aic [1]

Hi Folks, I want to use samba and amanda to backup NT/win file system. I downloaded the latest version of Samba and trying to install on bsdi4.0 and it complains that the OS is a "trapdoor" OS and will not work propperly. I installed it anyway and I can connect to NT no problem but when I connect it back to the unix box, it complains about "Bad password - name/password in a Tree

I started rebalancing my 25x2 distributed-replicate volume two days ago. Since then, the memory usage of the rebalance processes has been steadily climbing by 1-2 megabytes per minute. Following http://gluster.org/community/documentation/index.php/High_Memory_Usage, I tried "echo 2 > /proc/sys/vm/drop_caches". This had no effect on the processes' memory usage. Some of the

Hi R list, I like the default ticks that are set up using grid.xaxis() or grid.yaxis() with no arguments. Finding good values for the 'at' argument is usually not a trivial task; the default behavior of these functions seems to work well. The problem with this strategy is that I cannot figure out how to "recover" the positions of these ticks when you do NOT specify the

Here's another example of my plotmath whipping boy, the Normal distribution. A colleague asks for a Normal plotted above a series of axes that represent various other distributions (T, etc). I want to use vectors of equations in plotmath to do this, but have run into trouble. Now I've isolated the problem down to a relatively small piece of working example code (below). If you would

I started rebalancing my volume after updating from 3.2.7 to 3.3.1. After a few hours, I noticed a large number of failures in the rebalance status: > Node Rebalanced-files size scanned failures > status > --------- ----------- ----------- ----------- ----------- > ------------ > localhost 0 0Bytes 4288805

On Mon, Nov 25, 2013 at 05:32:23PM +0100, Gonzalo Aguilar Delgado wrote: > Hello, > > I've found a problem running libguestfs on my system. > > The system has /var mounted with a symbolic link to /mnt/bigdata/var > > > > root@red1:/var/log/nova# ls -ld /mnt/bigdata/var > drwxrwxr-x 15 root users 4096 jul 7 17:55 /mnt/bigdata/var > root@red1:/var/log/nova#

I recently installed an OpenBSD 2.5 box and compiled the 2.0.5a version of Samba. I set the security to security=user and turned on encryption so that I can access my home directory from my NT workstation (this is how I set up all my other machines and only the OpenBSD caused a problem). I was getting an error when I tried to connect to the machine - my logs showed an error of unable to set the

I have always assumed that having a package in the 'Depends' field would automatically also?import?the namespace. However, it seems that in R 2.15, dependencies do not become available until the package is actually?attached?to the searchpath. Is this intended behavior? The problem appears as follows: Suppose there is a package 'Child' which?Depends, but does not explicitly

I've been testing plotmath. But I'm getting some funny output one one computer. The problem is that characters are 'jumbled' and overstrike when symbols are introduced. Sample code: mu <- 440.0 sigma <- 12.5 myx <- seq( mu - 4*sigma, mu+ 4*sigma, length.out=500) myDensity <- dnorm(myx,mean=mu,sd=sigma) # Here's one way to retrieve the values of mu and sigma and

Hi, I am using version 2.1-1 of the ff package. I have a data set with 80 million rows and I need to create a new ffdf object, subseting by values in one of the original ffdf's columns. Here is my code: bigData <- read.table.ffdf(file="/data/demodata/data/smallData.txt", next.rows=1e5, head=TRUE, sep="|") dim(bigData) N <- nrow(bigData);N select <- ff(

Si, Bueno en realidad, estamos en un curso de bigdata y estan haciendo mucha scosas con Java, pero yo intento pasarlo a Python tood, ya uqe me parece un lenguaje mucho mas simple y más parecido a R Y si, lo que quiero principalmente es aplicar machine learning sobre conjuntos de datos enormes. Alguna recomendación? ________________________________ De: Carlos Ortega <cof en

Hi all, I'm currently programming my first complete package in S4. (thanks to Christophe Genolini for the nice introduction he wrote). I have an object "Data" with a number of slots. One of those slots is "meteo". Now "Meteo" is on itself a class with again a number of slots (like rainfall, temperature,..., you get the picture). I defined the slot

Dear R users, I have the following data: x <- data.frame( myX = c(1,2,3,4,5,6,7,8,9) ) y <- data.frame( myX = c(1,2,3,4,5,6,7) ) How can I get the difference between data frame x and y? In this case, I want to get values 8 and 9 I know in SQL we can use minus operator, but I have no idea how to do so in R. I tried all.equal, diff, and identical, but they don't give me the actual data

Dear R-List, I've written some code to put measurement values at a position x and y in bins (xb and yb). It works, but I wonder if there isn't a function that would do what I do by hand in "# fill data in bins"? Here is the code: # data x <- c( 1.1, 1.5, 2.3, 2.5, 2.6, 2.9, 3.3, 3.5 ) y <- c( 6.3, 6.2, 5.9, 5.3, 5.4, 4.2, 4.8, 4.6 ) val <- c( 50, 58, 32, 14, 12,

Hi, since bigglm doesn't have update, I was wondering how to achieve something like (similar to the example in ff package manual using biglm): first <- TRUE ffrowapply ({ if (first) { first <- FALSE fit <- bigglm(eqn, as.data.frame(bigdata[i1:i2,,drop=FALSE]), chunksize = 10000, family = binomial()) } else { fit <- update(fit,