search for: datsets

Hi, I've got a question regarding the restructering of a data set. What I have are municipality zip-codes and the names of 5'000 built-up areas within municipalities. The following example shows, what I would like to do: Input (Zip-Codes and Names): # CODE NAME #1 3 aaa #2 3 aab #3 3 aac #4 4 bba #5 4 bbb #6 4

Hola, quiero compartir con vosotros mi problema y la solución que me han planteado. Mi programa carga Outcomes.csv y Set-A.csv (descargados de http://garrickadenbuie.com/blog/2013/04/11/visualize-physionet-data-with-r/, apartado Getting Started --> the code and the data set) de unos 50MB entre los dos. Mi código era: # Transforma csv a data frame seta <- read.csv('Set-A.csv');

Hi, Evgenia and I have copied an updated version of the mlbench package to CRAN which contains several new data sets. We have also changed some of the variable names to avoid name conflicts. Best, -- ------------------------------------------------------------------- Friedrich Leisch Institut f?r Statistik Tel: (+43 1) 58801 10715 Technische

Hi, Evgenia and I have copied an updated version of the mlbench package to CRAN which contains several new data sets. We have also changed some of the variable names to avoid name conflicts. Best, -- ------------------------------------------------------------------- Friedrich Leisch Institut f?r Statistik Tel: (+43 1) 58801 10715 Technische

...ULL); } R is happy to install this for me, but after doing a library(myincr), the function doesn't seem to be available, so I presume I'm missing something. Does R normally call, at library load, R_init_$MODULENAME() ? My other question is.. our software produces data structures (we call datsets) which resemble limited database tables, and I'd like some advice on exposing them to R -- columns, in our scheme, either hold doubles or strings, the columns have names, and we need the ability to export these into appropriate R structures as well as populate them from R. I notice that the R D...

Hola Carlos, bueno la verdad es que mi pregunta era algo general, cuando no has usado data.table no parece muy intuitivo pasar de la forma de programar a la que estás más acostumbrado (bucles, notación matricial...) a esa otra. Aun no tengo un cálculo complejo concreto pero lo tendré que hacer... solo quería saber si se puede, y parece que sí, asi que será cuestión de empaparse un poco de

Dear members, I have started to work with R recently and there is one thing which I could not solve so far. I don't know how to define macros in R. The problem at hand is the following: I want R to go through a list of 1:54 and create the matrices input1, input2, input3 up to input54. I have tried the following: for ( i in 1:54) { input[i] = matrix(nrow = 1, ncol = 107)

Hi, Suppose, if I create 15 files in my working directory. set.seed(48) lapply(1:15,function(i) {m1 <- matrix(sample(1:20,1686*2,replace=TRUE),nrow=1686,ncol=2); write.table(m1,paste0("file_",i,".txt"),row.names=FALSE,quote=FALSE)}) ?D <-dir() D1 <- D[order(as.numeric(gsub("\\D+","",D)))] D1 ?res <- t(sapply(D1,function(x) {x1<-

Hi all, This is a really basic question but I can't figure it out. I am trying to write a piece of code that will  use two datasets, z and m.. This code is meant to assign the mean of selected values in dataset m to a new column z$c in datset z but the rows and columns of the two data sets differ. I managed to write this down but think I am missing something standard but basic,I will really

Hola, espero ser clara en el mensaje ya que es la primera vez que recurro a este tipo de ayudas, explico mi duda: Tengo un dataset con 4505 observaciones en el que la variable dependiente son presencias (n=97 y clasificadas como 1) y ausencias (n=4408 y clasificadas como 0). Mi primer paso fue realizar un GLM con una muestra compensada de ausencias y presencias para la variable dependiente, es

Hello all, I hate to add to the daily queries regarding R's handling of large datsets ;), but... I read in an online powerpoint about the ff package something about the "length of an ff object" needing to be smaller than .Machine$integer.max. Does anyone know if this means that the # of elements in an ff object must be < .Machine$integer.max [i.e., that ff provides no...

Dear R-helpers, I'm using R 2.5.0 under Windows and am trying to use nlsList from nlme 3.1-80 with the selfstart function for the four parametric logistic function. My first test went well, but now I'm trying to do some more sophisticated things and it does not work anymore. I simulate my data from a five parametric logistic function like this:

Hi All, I am using RGui 2.3.0 library(stats) and using K-means Clustering to cluster data.matrix.(DDset) DDset (matrix 575 x 2) Exams (character) Slot (numeric) AAW326 35 BWA345 45 ............... ..... ZXE 453 67 DDset[,2] [1] 29 37 24 7 22 22 21 24 26 31 39 21 17 7 24 37 26 33 7 31 39 29 24 20 2 [26] 40 8 16 1 31 6 32 2

I large datset that includes subjects(ID), Dates and events that need to be counted.  Not every date includes an event, and I need to only count one event per 30days, per subject.  So in essence, I need to create a 30-day "black out" period during which time an event cannot be "counted" for each subject.  The reason is that a rule has been set up, whereby a subject can only be

Hello! I have some data stored into 2 separate csv file. 1 file (called A.csv) (12 results named Group1, Group2, Group3, etc...) odds ratios, 2 file (called B.csv) 12 corresponded errors. How to import that data into R and make forest plot like I saw inside help file Rmeta and meta with included different font colors and names trough X and Y axis. I know for meta libb ... out <-

Hi Friends, Have a look over R package "imputeTestbench". It provides a Test bench for comparison of missing data imputation models/methods. It compares imputing methods with reference to RMSE, MAE or MAPE parameters. It allows to add new proposed methods to test bench and to compare with other methods. The function 'append_method()' allows to add multiple numbers of methods to

Hi Friends, Have a look over R package "imputeTestbench". It provides a Test bench for comparison of missing data imputation models/methods. It compares imputing methods with reference to RMSE, MAE or MAPE parameters. It allows to add new proposed methods to test bench and to compare with other methods. The function 'append_method()' allows to add multiple numbers of methods to

Hi there I have two dataframes Dataframe_1 column_1 colum_2 121 12345 145 1675 167 2765 Dataframe_2 column_1 column2 121 abc 345 lmn 167 efg I want a resulting dataframe 121 12345 abc 167 2765 efg how do i go abt it Ramya -- View this message in context: http://n4.nabble.com/Dataframe-help-tp947934p947934.html Sent from the R

Hi, I'm a new user trying to switch from SAS, so sorry for the beginner's question: Suppose I have a dataframe DF that contains variables X,Y,Z. I am trying to write a function like this: myplot <- function(varname){xyplot(varname ~ Y, group = Z, data = DF)}. The problem is then how to enter X into my function. If I write myplot("X") I get an error because the argument is a

Hi Experts,I'm writing up my thesis on open source data mining at the moment and I have to do some simple R experiments; however, I have very little experience with R.. And I am hoping one of you can please help me out:)I need need to run a regression task that uses the KNN algorithm with k = 5 and cross validation = 10 on the computer hardware datset from the uci repo and report the RMSE. All