similar to: python-like dictionary for R

Hi all, The dict package provides a dictionary (hashtable) data structure much like R's built-in environment objects, but with the following differences: - The Dict class can be subclassed. - Four different hashing functions are implemented and the user can specify which to use when creating an instance. I'm sending this here as opposed to R-packages because this package will

Hello all - I have an example column in a dataFrame id.name 123.45 123.45 123.45 123.45 234.56 234.56 234.56 234.56 234.56 234.56 234.56 345.67 345.67 345.67 456.78 456.78 456.78 456.78 456.78 456.78 456.78 456.78 456.78 ... [truncated] And I'd like to create a second vector of sequential values (i.e., 1:N) for each unique id.name value. In other words, I need id.name x 123.45 1 123.45

While writing a function that includes placing grid lines at the same position as the axis ticks, I found that the axis* functions don't return anything. Thus I have had to copy the appropriate function, removing the call to axis() and adding a line to return the tick positions. Is there a more elegant way to determine the tick positions on an axis? Thanks. Jim (normally bitwrit at

Hi all, The series is a draft of generic MSI driver that supports PCI and Non-PCI device which have MSI capability. If you're not interested it, sorry for the noise. The series is based on Linux-3.16-rc1. MSI was introduced in PCI Spec 2.2. Currently, kernel MSI driver codes are bonding with PCI device. Because MSI has a lot advantages in design. More and more non-PCI devices want to use

Hi all, The series is a draft of generic MSI driver that supports PCI and Non-PCI device which have MSI capability. If you're not interested it, sorry for the noise. The series is based on Linux-3.16-rc1. MSI was introduced in PCI Spec 2.2. Currently, kernel MSI driver codes are bonding with PCI device. Because MSI has a lot advantages in design. More and more non-PCI devices want to use

Hello: If anyone could guide me with this I would greatly appreciate it. Thanking you in advance for your assistance. Using a 3-level input factor alternative so that a function(below) can compute both a two-sided and one-sided p-values. Making the two-sided test the default. And produce output information about which alternative was tested. Where would I place the ifelse statement?

This is as doumented, and I think you could say the same thing of seq(). BTW, sequence() allows negative inputs, and I don't think you want sum(input) in that case. I've never seen the point of sequence(), but it has been around in R for a long time. It is used in packages eRm, extRemes, hydrosanity, klaR, seas. Who knows what people have in private code, so I don't see any

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

I evaluated the Bayes factor in the k=2 allele case with a "triangular" prior under the null as in the example in the help file: HWETriangBF2(nvec=c(88,10,2)) [1] 0.4580336 When I swap the n11 entry and n22 entry of nvec, I received totally different Bayes factor: > > HWETriangBF2(nvec=c(2,10,88)) [1] 5.710153 > In my understanding, defining the genotype frequency as

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

This was sent to me by someone on the R-list ( I don't know her ) but I don't have time to look at this right now so I told her I would send it to the R-list because she said it keeps getting bounced when she sends it. #======================================================================= ==================================================================== I am a bit confused with

Hello, Based on yesterday's R-help thread (help: program efficiency), and following Bill's suggestions, it appeared that sequence: > sequence function (nvec) unlist(lapply(nvec, seq_len)) <environment: namespace:base> could benefit from being written in C to avoid unnecessary memory allocations. I made this version using inline: require( inline ) sequence_c <- local( {

hey guys, I am working on a function to make a duplicated value unique. For example, the original vector would be like : a = c(2,1,1,3,3,3,4) I'll like to transform it into: a.nodup = 2, 1.01, 1.02, 3.01, 3.02, 3.03, 4 basically, find the duplicates and assign a unique value by adding a small amount and keep it in order. I come up with the following codes, but it runs slow if t is large. Is

pci_enable_msix currently returns -EINVAL if you ask for more vectors than supported by the device, which would typically cause fallback to regular interrupts. It's better to return the table size, making the driver retry MSI-X with less vectors. Signed-off-by: Michael S. Tsirkin <mst at redhat.com> --- Hi Jesse, This came up when I was adding MSI-X support to virtio pci driver, which

pci_enable_msix currently returns -EINVAL if you ask for more vectors than supported by the device, which would typically cause fallback to regular interrupts. It's better to return the table size, making the driver retry MSI-X with less vectors. Signed-off-by: Michael S. Tsirkin <mst at redhat.com> --- Hi Jesse, This came up when I was adding MSI-X support to virtio pci driver, which

Hi All, I would like to compute the simple finite-difference approximation to the gradient of a scalar function of a large number of variables (on the order of 1000). Although a one-time computation using the following function grad() is fast and simple enough, the overhead for repeated evaluation of gradient in iterative schemes is quite significant. I was wondering whether there are

Me: Win XP 4 gig ram R 2.9.2 library(foreign) # to read/write SPSS files library(doBy) # for summaryBy library(RODBC) setwd("C:\\Documents and Settings\\............00909BR") gc() memory.limit(size=4000) ## PROBLEM: I have memory limit problems. R and otherwise. My dataframes for merging or subsetting are about 300k to 900k records. I've had errors such as vector size too large.

Dear list members, I am trying to use the maptools library to display geographical data. At the moment I have some trouble understanding how the " auxvar " variable is supposed to be used in the plot.Map function. I am using R Version 1.8.1 (2003-11-21) on Linux Looking at the plot.Map function itself, I see that it calls a color.ramp function (I am reporting only the relevant