similar to: Stuck trying to modify a function

Hi, I have some values in a list format generated by the following: Path_Number <- 0010 ID.Path <- formatC(0001:Path_Number, width=4, flag=0) # Make vector of ID's. No_of_Effectors <- sample(1:550, length(ID.Path), replace=TRUE) # Define Number of Effectors each individual gets. Effectors <- split(sample(1:10000, sum(No_of_Effectors), replace=TRUE), rep(ID.Path, No_of_Effectors))

Hi, First my apologies for a non-working piece of code in a previous submission, I have corrected this error. I'm doing is individual based modelling of a pathogen and it's host. The way I've thought of doing this is with two dataframes, one of the pathogen and it's genes and effector genes, and one of the host and it's resistance genes. During the simulation, these things

Hi All, I'm trying to run a simulation of host-pathogen evolution based around individuals. What I need to have is a dataframe or table of some description - describing all the individuals of a pathogen population (so far I've implemented this as a matrix): ID No_of_Effectors Effectors (Sequences) [1,] 0001 3 ## 3

Hi Folks, I have just started using dplyr and could use some help getting unstuck. It could well be that dplyr is not the package to be using, but let me just pose the question and seek your advice. Here is my basic data frame. head(h) subject ageGrp ear hearingGrp sex freq L2 Ldp Phidp NF SNR 1 HALAF032 A L A F 2 0 -23.54459 55.56005 -43.08282

Hi all, I'd like to write a piece of code which will remove columns from a matrix, if the column contains only one value, say every value in the column is a "3": Matrix <- matrix(NA, nrow=5, ncol=4) Matrix[,1] <- c(1,2,3,4,5) Matrix[,2] <- c(3,3,3,3,3) Matrix[,3] <- c(5,4,3,2,1) Matrix[,4] <- c(5,1,4,3,2) [,1] [,2] [,3] [,4] [1,] 1 3 5 5 [2,] 2

Dear all, I''m trying to write a function, that will take as an argument, some aligned genome sequences, and using a sliding window, do pairwise comparisons of sequence similarity. Coding the sliding window I think I can manage but what I''m trying to get to grips with is getting it so as every pairwise comparison is made, no matter how many genomes are added, from 3 to N. So if

Dear R-users, i have to integrate the following function `fun1` <- function (a, l1, l2) { exp(log(l1) * (a - 1) - l2 * lgamma(a)) } but if l1 is large, i get the "non-finite function value" error, so my idea is to rescale with exp(-l1) `fun2` <- function (a, l1, l2) { exp(log(l1) * (a - 1) - l2 * lgamma(a) - l1) } but it seems this doesn't solve the problem, when

I was wondering if one can have the coefficients of VAR model sorted according to variable names rather than lags. If you notice below, the output is sorted according to lags. >VAR(cbind(fossil,labour),p=2,type="const") VAR Estimation Results: ======================= Estimated coefficients for equation fossil: =========================================== Call: fossil = fossil.l1

John Ackermann N8UR via Nut-upsuser <nut-upsuser at alioth-lists.debian.net> writes: > I am monitoring via the SNMP driver an APC SmartUPS that has split > phase (2L + neutral) 240V input and 120/120 volt outputs. The data > for the voltages is not what I'm expecting, and I am wondering how I > should interpret it. Wow, that sounds kind of industrial. Model? Is the

Hi Could anybody explain me how to check how many L1/L2 cache my cpu have. I'm using CentOS 5.6 *cat /proc/cpuinfo |grep CPU * model name : Intel(R) Core(TM)2 Duo CPU T9300 @ 2.50GHz model name : Intel(R) Core(TM)2 Duo CPU T9300 @ 2.50GHz Diagram of a generic dual-core processor, with CPU-local level 1 caches, and a shared, on-die level 2 cache.

Hi -- I am monitoring via the SNMP driver an APC SmartUPS that has split phase (2L + neutral) 240V input and 120/120 volt outputs. The data for the voltages is not what I'm expecting, and I am wondering how I should interpret it. Here is an example from upsc: input.L1-L2.voltage: 121 input.L2-L3.voltage: 120 input.voltage: 121.20 output.current: 5.90 output.L1-L2.voltage: 119

Sounds pretty normal from what I see. It appears that this is *NOT* a true 240v UPS, but rather one that provides two legs of 120v output from two legs of 120 input, and what is seen as "L2" is actually neutral, and the line names are reporting incorrectly. With that in mind, each leg in should be 120v, as well as the outputs, which is exactly what you are seeing.(The fact tht L1 to L3

Thanks, Tim. The unit was available with single as well as split phase output, and from the data I can find the input was single phase, though the input connector has L1/L2/N/G wires. I'm digging through the MIB to see what the raw data looks like. Thanks! John ---- On 11/11/24 19:14, Tim Dawson wrote: > Sounds pretty normal from what I see. It appears that this is *NOT* a > true

Following up on this, I've figured out what's going on. What I'm not sure of is how best to address the situation. I'd like to avoid going down to the MIB level because I just don't understand it. "Split phase" output devices seem to fall into an undefined area. They're not three phase, but require additional MIB values so APC uses their 3-phase MIB

I have a vector of character strings such as mainnames<-c("CAD","AUD") and another vector say checknames<-c("CAD.l1","AUD.l1","JPY.l1","EUR.l1","CAD.l2","AUD.l2","JPY .l2","EUR.l2") I want a new vector of character strings that is just

Hi, I'm running into a wall when trying to use the integrate function. I have the following setting: powerLaw2 <- function(x,l1,l2,c0,t0) { idx <- which(x <= 0); if (length(idx) > 0) { x[idx] <- 0; } xl <- (-l1+l2)*log(x/t0); L <- log(c0)-l1*log(x)-log(1+exp(xl)); L <- exp(L); return(L); } plCDF2 <- function(x,l1,l2,c0,t0) {

QEMU's default qcow2 L2 cache size is too small for large images (and small cluster sizes), resulting in very bad performance. https://blogs.igalia.com/berto/2015/12/17/improving-disk-io-performance-in-qemu-2-5-with-the-qcow2-l2-cache/ shows huge performance hit for a 20GB qcow2 with default 64kB cluster size: L2 Cache, MiB Average IOPS 1 (default) 5100 1.5

Hi, How does the requirement that phi instructions have one value per predecessor basic block interact with indirectbr instructions? For instance, take the following code: L1: br i1 %somevalue, label %L2, label %L3 L2: %ret1 = i8* blockaddress(@myfunction, %L5) br label %L4 L3: %ret2 = i8* blockaddress(@myfunction, %L6) br label %L4 L4: %ret = phi i8* [%ret1, L2], [%ret2, L3]

I think that's incorrect. It should to: .section .foo .L1: .L2 = .L1 .section .bar .long .L3-.L2 .L3: Because .L3 and .L2 are in different sections. - Justin On Thu, Jun 26, 2014 at 2:46 PM, Rafael Espíndola <rafael.espindola at gmail.com> wrote: > This reduces to > > .section .foo > .L1: > .L2 = .L1 > .section .bar > .long .L1-.L2 > > > Which is fairly

Hello R users, I have a data set which is a set of lengths and types of objects. I want to calculate the mean length for each type of object as opposed to the mean of all the objects in the set. This is in order to make a comparison between the lengths of each type of objects and the number of those objects. > x Chromosome Begin End Type Class Norm Length 458327