search for: datset

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

...<- data.frame(ListaABP); #+++++++++++++++++++++++++++++++++++++++++++++++++ Este código tardaba 3 horas en ejecutarse. La solución que me han propuesto es usar data.table en lugar de data.frame y ahora tarda 1 segundo aproximadamente en ejecutarse y es este: #------------- library(data.table) datSet <- fread("Set-A.csv") resOut <- datSet[, .(ValMax=max(Value), ValMin=min(Value), ValAvg=mean(Value)), by=c("RecordID","Parameter")] resOut$RecordID <- as.factor(resOut$RecordID) setkey(resOut, RecordID) head(datSet) datOutcome <- fread("Outcomes-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...

...>> >> Este código tardaba 3 horas en ejecutarse. La solución que me han >> propuesto >> es usar data.table en lugar de data.frame y ahora tarda 1 segundo >> aproximadamente en ejecutarse y es este: >> >> #------------- >> library(data.table) >> datSet <- fread("Set-A.csv") >> resOut <- datSet[, .(ValMax=max(Value), ValMin=min(Value), >> ValAvg=mean(Value)), by=c("RecordID","Parameter")] >> resOut$RecordID <- as.factor(resOut$RecordID) >> setkey(resOut, RecordID) >> head(datSet)...

...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) input[i][1,]=datset$variable } However, R never creates the required matrices. I have also tried to type input'i' and input$i, none of which worked. I would be very grateful for help as this is a basic question the answer of which is paramount to any further usage of the software. Thank you very much...

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 appreciate if someone could point out where I' am going wrong or help me out with a piece of code for this.Google did not help me even and the...

...roblema. Si realizo un GLM con ausencia/presencia como variable dependiente no siendo ésta proporcional entre 1 y 0 debo ponderar las observaciones, lo cuál creo que se realiza añadiendo el vector "weights" a la función, quedando asi: modelo <- glm(v_dependiente ~ v1 + v2 + v3, data = datset, weights="x", family = binomial (link=logit) Mi duda es cómo calcular el factor de ponderación de las presencias y las ausencias para crear el vector que pueda introducir en la función weights. Muchas gracias! Un saludo *-------------* *Isabel García Barón* [[alternative HTML version...

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...

...s derror) return(Y)})) params contains different parameters for 200 persons in 4 groups. Next I sample for each person five observations one at the start, one at the end and three randomly in between. Now I get the following error messages: testnlslist2<-nlsList(SSfpl,groupedData(Y~Time|group, datset)) Error in nls(y ~ cbind(1, 1/(1 + exp((xmid - x)/exp(lscal)))), data = xy, : step factor 0.000488281 reduced below 'minFactor' of 0.000976562 Error in nls(formula = formula, data = data, control = control) : singular gradient For the first error it could be that this is...

...] 27 22 26 29 27 7 5 13 23 26 21 3 38 5 8 28 8 22 5 33 24 18 21 32 13 > I already have pre-process of the data i.e *Exam AAW326* is assigned to the *slot-29 *which is the dataset DDset. By using Kmeans-Clustering i am grouping the dataset accordingly. How can i do the clustering from the datset (DDset)? How can i understand the *similarities and dis-similarities*? Will Kmeans-Clustering helps on this problem? Where can i get *more tutorials* on kmeans-clustering? Thanks for reading this email. Thanks in Advance JJ --- -- Lecturer J. Joshua Thomas KDU College Penang Campus...

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 ea...

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 <-

...://www.researchgate.net/publication/305767990_R_package_%27imputeTestbench%27_as_a_Testbench_to_compare_missing_value_imputation_methods The current version is talking about univariate dataset imputation. Very next version will allow user to operate it on any type of dataset including multivariate datset. For more detail contact me at: http://www.neerajbokde.com/? -- Regards , *Neeraj Dhanraj Bokde * *M.E. Embedded System* *Birla Institute of Technology & Science,* Pilani Pilani Campus , Rajasthan, India Phone: *+91 9028415974* Email: h2012105 at pilani.bits-pilani.ac.in; *neerajdhanraj...

...://www.researchgate.net/publication/305767990_R_package_%27imputeTestbench%27_as_a_Testbench_to_compare_missing_value_imputation_methods The current version is talking about univariate dataset imputation. Very next version will allow user to operate it on any type of dataset including multivariate datset. For more detail contact me at: http://www.neerajbokde.com/? -- Regards , *Neeraj Dhanraj Bokde * *M.E. Embedded System* *Birla Institute of Technology & Science,* Pilani Pilani Campus , Rajasthan, India Phone: *+91 9028415974* Email: h2012105 at pilani.bits-pilani.ac.in; *neerajdhanraj...

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

...rce 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 other parameters should be set to their default values (if possible). I am hoping one of you experts can please help me out with the code?http://archive.ics.uci.edu/ml/datasets/Computer+Hardwarethanks,Bonjovi -- View this message in context: http://r.78...