similar to: Data manipulation - multiplicate cases

Hi listers, I have a simple doubt... I need to manipulate the data base as: var1 var2 7 0.1 7 0.1 8 0.12 10 0.15 12 0.18 20 0.31 I would like to aggregate the equal cases as var1 making the sum of var2... I would get... var1 var2 7 0.2 8 0.12 10 0.15 12 0.18 20 0.31 Thanks in advance, Marcio -- View this message in context:

Hi listers, I have the following code... data<-as.matrix(c(1,2,3,4,5,6,7,8,9,10),nrow=10,ncol=1,byrow=TRUE) n<-nrow(data) m<-n-1 boot<-data[sample(m,replace=T),] So, I need to count the number of times each observation was selected at the sample with replacement... Suppose I sampled... 4 5 1 3 7 5 1 4 7 So, I would count... x count 1 2 2 0 3 1 4 2 5 2 6 0 7 2 8 0 9 0 10 0

Hi listers, I have a data frame with 5 variables... And I want reorder the data frame according a specific variable X... I checked the sort and order functions... In my case I think that the ORDER function is applicable... But I did not understand at all... The idea is simple... Data order by X... I know that this is very simple... Anyways... How I would do that... Thanks in advance, Marcio --

Hi listers, I've been looking for a procedure, but I am not succeding... I have a function that give multiple results... Then, I would like to simulate this function n times, so I need to save/keep the n multiple results, in order to calculate my desired statistics... I have already tried with the RETURN and LIST FUNCTION, but I am not getting it right... An example of what I am looking for

Hi listers, I am working on a simulation... But I am having some troubles... Suppose I have a function A which produces two results (mean and variance)... Then I would like to simulate this function A with a function B many times using the results from function A For example: #Function A boot<-function(a,b,c){ mean_boot<-(a+b)/2 var_boot<-c #list(a=a,b=b,c=c) return(a) } Then I would

Dear R-list members, I´m using the package "survey" and I need to find a function for multinomial logistic regression in a complex design. The functions that I see are only for dicotomic and ordinal variables. Thank you! Rosario Austral ________________________________ De: "r-help-request@r-project.org" <r-help-request@r-project.org> Para:

Hi listers, Does it necessary to install any package in order to use the GINI or INEQ functions. If I use the following command the R tells me that didn't find the GINI function. x<-c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261) G<-gini(x) Thanks in advance, Marcio -- View this message in context:

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, I have a 1.000 observations with 10 attributes (of different types: numeric, dicotomic, categorical ecc..) and a measure M. I need to cluster these observations in order to assign a new observation (with the same 10 attributes but not the measure) to a cluster. I want to calculate for the new observation a measure as the average of the meausures M of the observations in the cluster

Hey listers, I am trying to do something simple... Check the program below... I would like to create a variable named COLOR according to the conditions that I stablished... But the problem is that it seems that my variable COLOR is checking just on sample, may be last in the loop... Certainly, I am missing something... Thanks in advance, Marcio

Aunque es un poco offtopic, creeis necesario aprender java para temas de bigdata o con python es suficiente Gracias Jesús [[alternative HTML version deleted]]

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

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 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

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

Hi Listers, I am producing some graphics that the commands are in a FUNCTION... The problem is that I end up viewing just last graphic and in my FUNCTION there are 4 graphics with the PAR command function... Like those below... How do I view/get the other 3 graphics? Any help? Thanks in advance... histogram<-par(mfrow=c(1,2)) hist(rw_mean_app,main='Bootstrap Method

Hi, as in the subject, is it possible to call on of the analysis pass present in the LLVM (lib/ folder) within a tool pass (tools/ folder)? Thanks. Best, Simone

Hi there I'm working with ncdf data. I have different dataset for 4 runs, 4 seasons and 3 timeslices (48 datasets in total). The datasets have the following dimensions: 96 longitudes, 48 latitudes and 30 time steps. To read all of them in, I wrote the following loop: runs <- c("03","04","05","06") years <- c(1851,1961,2061) seasons <-

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,

Hi Listers, Is there a way that I can transpose an array... Suppose I have the following array... x<-array(c(1,2,3,4),dim=c(1,2,2)) , , 1 [,1] [,2] [1,] 1 2 , , 2 [,1] [,2] [1,] 3 4 And I would like to get the following result... , , 1 [,1] [1,] 1 [,2] 2 , , 2 [,1] [,2] [1,] 3 [,2] 4 Thanks in advance, Marcio -- View this message in context: