similar to: Using loop numbers in write.csv

Hello, I am working with a sparse matrix that is approx. 13,900 by 14,100. My goal is to select a row out of the matrix and create a new matrix with that row repeated 13,900 times without having to do any looping. Example: Starting Matrix: exampleMatrix 3 x 4 sparse Matrix of class "dgCMatrix" [1,] 1 . . . [2,] . 1 . 0.5 [3,] . . 1 .. New Matrix:.. newExampleMatrix 3 x 4 sparse

Hello all, I apologize if this is simple or has already been answered somewhere, but I'm not sure what to search for although I have tried and didn't come up with anything so.. Here's my question. How can I interpolate list names or do I have to do it post list creation. Since that's not very clear here is some sample code of what I wanted to do: >

Hello, I'm a beginner with R and it's the first time I'm using the R-help list... I hope I'm in the right place, if not: Sorry!! I need to do non linear regressions on a data set which columns are: "river.name" "Portata" "PTG.P" "PO4.P" "NT.N" "NH4.N" "NO3.N" "BOD5" "SiO2"

Hello, I'm using the following for loop to find regression curves using a list of functions (formList), a list of starting values (startList), uppervalues (upperList) and lower values (lowerList). A sample of the list of function I use in the loop is the following: FormList <- list(PTG.P ~ fz1(Portata, a, b), PTG.P ~ fz2(Portata, a, b), PTG.P ~ fz3(Portata,a, b, d, e), PTG.P ~

Hello, to plot the result of a singular non linear regression (using nls) I usually use the function plotfit, for example: r.PTG.V<-nls(PTG.P~ fz1(Portata, a,b), data=dati, start=list(a=10, b=10), nls.control(maxiter=200), algorithm='port', trace=TRUE, na.action=na.omit, lower=list(a=0, b=10), upper=list(a=100, b=100)) plotfit(r.PTG.V) I tried to use the function plotfit on the

Hi, I'm trying to get better at things like lapply but it still stumps me. I have a function I've written, tested and debugged using individual calls to the function, ala: ResultList5 = DoAvgCalcs(IndexData, Lookback=5, SampleSize=TestSamples , Iterations=TestIterations ) ResultList8 = DoAvgCalcs(IndexData, Lookback=8, SampleSize=TestSamples , Iterations=TestIterations ) ResultList13

Hello I have a view which have 2 radio buttons : ... <td style="width:5%">Actuel</td> <td style="width:10%"><%= radio_button_tag(:actuel, value = "1", checked = false, options = {}) %> <td style="width:5%">Last</td> <td style="width:10%"><%= radio_button_tag(:last, value = "1", checked =

I'm trying to make a loop with many files... > library(dplR) > > files <- system("ls *.rwl", intern=TRUE) > > files [1] "cimfasy.rwl" "rocquce.rwl" > for (i in files) {a <- read.rwl(i,header=0)} There are 70 series There are 21 series > class(a) [1] "data.frame" This loop import all the files rwl in a single data.frame ( a

Hello, can search with following SQL Statement: def execute_search @result = Search.find_by_sql ["SELECT * FROM customers WHERE firstname LIKE ? LIMIT 10",params[:firstname]] render :template => "search/resultlist", :layout => false end My question is, how do I use 2 or more Parameters - and with the "%"? (I Like to use SQL-Statements because

Dear list, I have a problem with the cumsum function. I have a data frame like the following one variable Year value EC01 2005 5 EC01 2006 10 AAO1 2005 2 AAO1 2006 4 what I would like to obtain is variable Year value cumsum EC01 2005 5 5 EC01

I have a large matrix, each row of which needs lm applied. I am certain than I read an article in R-news about this within the last year or two that discussed the application of lm to matrices but I'll be darned if I can find it with Google. Probably using the wrong search terms. Can someone steer me to this article of just tell me if this is possible and, if so, how to do it? My simplistic

Dear experts, I?ve been on this for weeks now, and couldn?t find a solution..Sorry for the long description. I figured I post many details, so you get the problem entirely, although it?s not hard to grasp. **Situation:** Data frame consisting of 4 million entries (total size: 250 MB). Two columns: `ID` and `TEXT`. Text strings are each up to 200 characters. **Task:** Preprocessing the text

Hello, I've been trying to use odfWeave and prettyR packages to create documents with both text and graphs, but so far I haven't been very lucky... With the function R2html () in prettyR package, when I try to use a source file, which works perfectly if I run it directly form R using "source("file")", it works for the first part and then it makes a mess, i guess