similar to: Sequential Sum in R

Hello, I previously submitted the below query to r-sig-geo, but have had no response. Before I start bothering individual maintainers, I wonder if anyone on this list has any experience with the package and (or!) can diagnose my problems? Thanks, Calum Hello, I am having a little trouble with plotKML and I am not sure whether to ascribe it to my incompetence (most likely), incomplete

Here is my file to parse and load extensions. No wise cracks about my code.... DB.php is the Pear DB module. (pear.php.net) <?php include('DB.php'); $db_host = ''; $db_name = ''; $db_login = ''; $db_pass = ''; $db_table = 'extensions_table'; define(DBINFO,"mysql://$db_login:$db_pass@$db_host/$db_name"); $db =

Hi, my data set is data.frame(id, yr, y, l, e, k). I would like to estimate Lee and Schmidts (1993, OUP) model in R. My colleague wrote SAS code as follows: ** procedures for creating dummy variables are omitted ** ** di# and dt# are dummy variables for industry and time ** data a2; merge a1 a2 a; by id yr; proc sysnlin maxit=100 outest=beta2; endogenous y; exogenous l e k

Hi, my data set is data.frame(id, yr, y, l, e, k). I would like to estimate Lee and Schmidts (1993, OUP) model in R. My colleague wrote SAS code as follows: ** procedures for creating dummy variables are omitted ** ** di# and dt# are dummy variables for industry and time ** data a2; merge a1 a2 a; by id yr; proc sysnlin maxit=100 outest=beta2; endogenous y; exogenous l e k

Dear Admin, I will appreciate if you advise me an effective way to write the following R code including nested for loops. I cannot do it by using expand.grid function because it results with memory allocation problems. Thanks for your time and consideration. for(d1 in 0:n){ for(d2 in 0:n){ for(d3 in 0:n){ for(d4 in 0:n){ for(d5 in 0:n){ for(d6 in 0:n){ for(d7 in 0:n){ for(d8 in 0:n){ for(d9 in

Hi, I'm mighty new to R. I'm using it on Windows. I'm trying to cluster using a distance matrix I created from the data on my own and called it D10.dist. I loaded the cluster package. Then tried the following command... > agnes("E:D10.dist", diss = TRUE, metric = "euclidean", stand = FALSE, > method = "average", par.method, keep.diss = n < 1000,

Dear R family I have a question as to how to get an answer I want to derive with the outcome from R-package, "wmtsa". My concern is that I want to decide equivalent degrees of freedom (EDOF) based on the following outcome. library(wmtsa) W <- wavMODWT(X, wavelet="s8") z1 <- wavEDOF(W) print(z1) #Intentionally, I do not assign n.levels and specify SDF. The following is

Thanks. This is making a lot more sense now and it's looking like this issue isn't Mips specific. Here's the IR dump before simple register coalescing (note: I've patched the IR printer to print the contents of the regmask): 4480B %vreg260<def> = LDC1 %vreg253, <cp#3>[TF=6]; mem:LD8[ConstantPool] AFGR64:%vreg260 GPR32:%vreg253 4496B %vreg261<def> = FMUL_D32

I am working with amino acid sequences changing each letter to numbers.I have a data from acf transformation called Zm as shown below. I would like to get Indices D1 to D10 and then create F1 to F10 as indicated below. Is there anyway I can do that in R without typing each of them one by one. For example to get D1 to D3, I have to type D1<-c(Zm[[1]])[1][[1]], D2<-c(Zm[[2]])[1][[1]], and

- Use MAC16_16 macros instead of (sum += a*b) and unroll a loop by 2. It increase performance when using optimized macros (ex: ARMv5E). A possible side effect of loop unroll is that i don't check for odd length here. - Add NEON version of FIR filter and autocorr -- Aur?lien Zanelli Parrot SA 174, quai de Jemmapes 75010 Paris France -------------- next part -------------- diff --git

I am looking for online courses to learn Spatial Statistics using R. Statistics.com is offering an online course in December on the same topic but that schedule doesn't suit mine. Are there any other similar modes for learning spatial statistics using R??? Can someone please advice??? Thank you. Ravi -- View this message in context:

To reduce memory consumption clobbered registers are handled with RegisterMask machine operands which contain a bitset of all registers clobbered. - Matthias > On Jul 29, 2015, at 3:00 PM, Daniel Sanders <daniel.sanders at imgtec.com> wrote: > > I believe I've identified the problem with almabench but I haven't found the root cause in the compiler yet. > > The

I am looking to build simple GUIs based on the R codes I have. The main objective is to hide the scary R codes from non-programming people and make it easier for them to try out different inputs. For example, 1. The GUI will have means to upload a csv file which will be read by the R code. 2. A button to preprocess data (carried out by a R function behind) 3. A button to build some models

Please ignore my previous mail and patch, there is a new version :). Patch changes are: - Use MAC16_16 macros instead of (sum += a*b) and unroll a loop by 2. It increase performance when using optimized macros (ex: ARMv5E). A possible side effect of loop unroll is that i don't check for odd length here. - Add NEON version of FIR filter and autocorr - Add a section in autoconf in order to

Hey, Ive installed web meetme and everything is working fine except no records are being written to the cdr and participants tables, this is because the cbEnd.php script is not running. Below is the output of the cbEnd.php when I run in manually. I am running asterisk 1.4.20.1 and web meetme 3.1.0 and the latest release's of PEAR,PHP and MySQL. ./cbEnd.php PHP Strict Standards: Assigning

Buenos días, *Muchas gracias, todas las aportaciones han sido bien útiles.* Las he tenido en cuenta y he pasado los datos con el R, siguiendo el siguiente comando: *modeloRTUN2<-lm(AVE.~ Tariff + d1 + d2 + d3 + d4 + d5 + d6 + d7 + d8 + d9+ d10 + d11+ d12+ d13+ d14+ d15+ d16+ d17+ d18+ d19+ d20 +d21 + Tariff*d1 + Tariff*d2 + Tariff*d10)* *summary(modeloRTUN2)* Siendo: AVE. = Variable

Fabian, > here are the definitions of these register classes: > > // Data register class > def DR : RegisterClass<"TriCore", [i32], 32, > (add D0, D1, D2, D3, D4, D5, D6, D7, > D8, D9, D10, D11, D12, D13, D14, D15)>; > > // Extended-size data register class > def ER :

I am using gsub to remove numbers for each element of a list. Code is given below. testList <- list("this contains a number 1000","this does not contain") removeNumbers <- function(X) { gsub("\\d","",X) } outputList <- lapply(testList,removeNumbers) However, when I try to find the number of words in outputList as follows

I have the following data: x <- as.factor(c(1,1,1,2,2,2,3,3,3)) y <- as.factor(c(10,10,10,20,20,20,30,30,30)) z <- c(100,100,NA,200,200,200,300,300,300) I could create the cross tab of x and y with Sum of z as its elements using the xtabs function as follows: # X Vs. Y with Sum Z xtabs(z ~ x + y) y x 10 20 30 1 200 0 0 2 0 600 0 3 0 0 900 How do I replace

I have a text file that has semi-colon separated values. The table is nearly 10,000 by 585. The files looks as follows: ******************************************* First line: Skip this line Second line: skip this line Third line: skip this line variable1 Variable2 Variable3 Variable4 Unit1 Unit2 Unit3 10 0.1 0.01 0.001 20